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▶ 5 Most Used Data Mining Software || Data Mining Tools -- Famous Data Mining Tools
 
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»See Full #Data_Mining Video Series Here: https://www.youtube.com/watch?v=t8lSMGW5eT0&list=PL9qn9k4eqGKRRn1uBmEhlmEd58ATOziA1 In This Video You are gonna learn Data Mining #Bangla_Tutorial Data mining is an important process to discover knowledge about your customer behavior towards your business offerings. » My #Linkedin_Profile: https://www.linkedin.com/in/rafayet13 » Read My Full Article on Data Mining Career Opportunity & So On » Link: https://medium.com/@rafayet13 #Learn_Data_Mining_In_A_Easy_Way #Data_Mining_Essential_Course #Data_Mining_Course_For_Beginner Here We're Going to Learn Which Software is best to use in Data Mining Field R remains the leading tool, with 49% share, but Python grows faster and almost catches up to R. RapidMiner remains the most popular general Data Science. আধুনিক প্রযুক্তির ব্যবহার বৃদ্ধির সাথে অতি দ্রুত ডেটা উৎপন্ন হচ্ছে। টেক জায়ান্ট আইবিএম জানায় ইন্টারনেটে যত ডেটা আছে তার ৯০ ভাগ উৎপন্ন হয়েছে গত তিন বছরে। এ ডেটা উৎপন্নের হার দিনকে দিন বেড়েই চলছে। বিশেষজ্ঞদের ধারনা ২০২০ সাল নাগাদ প্রায় ৪০ জেটাবাইট ডেটা জেনারেট হবে। যা ২০১১ তুলনায় প্রায় ৫০ গুন বেশি। বিশাল পরিমাণ এই ডেটা প্রক্রিয়াজাতের মাধ্যমে বিজ্ঞান, গবেষণা, চিকিৎসা, শিক্ষা ও ব্যবসায় ব্যপক ভুমিকা রাখা যেতে পারে। তাই বলা হচ্ছে “ বিগ ডেটা ইজ বিগ ইমপ্যাক্ট।” Data Mining,big data,data analysis,data mining tutorial,book , Bangla tutorials,data mining software,Data Mining,What is data mining, bookbd, data analysis,data mining tutorial,data science,big data,business tutorial,data mining Bangla tutorial,how to,how to mine data,knowledge discovery,Artificial Intelligence,Deep learning,machine learning,Python tutorials,
Views: 4980 BookBd
Data Mining Software
 
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A/Prof Zahid Islam of Charles Sturt University Australia presents a Freely available Data Mining Software
Orange Data Mining tool
 
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For more information visit orange.biolab.si
Views: 7553 Deeksha Acharya
Predictive Analytics using Orange Data Mining
 
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Data Mining Fruitful and Fun Open source machine learning and data visualization for novice and expert. Interactive data analysis workflows with a large toolbox. Download Link: https://orange.biolab.si/download/
Views: 800 Anurag P
Open source data mining software and its basic functions
 
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Orange(program) Video made by Wernich Schmidts
Views: 92 Reuben Sousa
Overview of Open Source Data Mining Tools: AWS, Hadoop, Apache Spark, Clusters, NoSQL
 
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Adapted from Openwest and Intermountain Big Data conference talks about NoSql, Java, Machine Learning, Python, Data Mining and the myriad tools you need to know exist. Subject covered: Development environments -- why you need to know more tools than just a language Amazon AWS -- talk about free tier and look at management panel This will cover the basics of what an aspiring data scientist needs to know. The whole point of this is to give an overview of many different technologies. Your first battle in data science is simply knowing what exists and how it all relates. This is not a deep dive, it's an overview, so don't worry about taking notes, just grab a coffee and join me online for a whirlwind tour. This is going to be a do-over of the first half of a talk I gave at the Big Data conference a few weeks ago. I did not go a good job presenting my slides to the Google Hangouts viewers and will re-present this. The talks this is based on (this will be the first half, not covereing Shiny until a future Hangout on iPython/Jupyter and Shiny tbd) Utah Intermountain Big Data Conference Data Science and Machine Learning Tools from Python to R, with Hands-On R/Shiny project http://utahgeekevents.com/Sessions (click on "Data Technologies for Developers") Openwest 2015 "Hadoop, MapReduce, Weka & Python Pandas, Oh My? A Data Mining and Machine Learning Primer" http://www.openwest.org/schedule/#68
Views: 1057 Mega Learning
Weka Data Mining Tutorial for First Time & Beginner Users
 
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23-minute beginner-friendly introduction to data mining with WEKA. Examples of algorithms to get you started with WEKA: logistic regression, decision tree, neural network and support vector machine. Update 7/20/2018: I put data files in .ARFF here http://pastebin.com/Ea55rc3j and in .CSV here http://pastebin.com/4sG90tTu Sorry uploading the data file took so long...it was on an old laptop.
Views: 429622 Brandon Weinberg
Data Scraping and Mining From Websites Free No Coding Required
 
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In this Parsehub Data scraping begginer tutorial Video, I am going to show you How to Scrap data from almost any website using this simple software. You will Learn to Scrap any website data which is publically available. You don't need to have coding knowledge for web scraping like python, vba script or anything.. There is Absolutely no coding required to scrape any website you want. Software used :Parsehub Free Download Best Data scraper Software Here: Website: https://goo.gl/w232Zm Using This Free Software You Can Easily extract data from any website. Build your own dataset or API, without writing code. You Can Download free Software to scrap data. Steps to scrap the Data: You just need to open the Url of website you want to scrap. Then Just select the data you need. Finally You can Access the data(output file) via JSON, Excel(CSV) and API. Data is collected by their servers. Features:forms, open drop downs, login to websites, click on maps and handle sites with infinite scroll, tabs and pop-ups. Trying to get data from a complex and laggy sites? No worries! You can get data from that websites too. _-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_--_ Special Offers and Deals: _-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_- Best SmartPhones in 2017 Xiaomi Redmi Note 3 - 32 GB (AFFILIATE) http://amzn.to/2ffAcwq Lenovo Phab 2 Plus Smartphone (AFFILIATE) http://amzn.to/2ffDhwv Moto G Plus, 4th Gen 32 GB (AFFILIATE) http://amzn.to/2ffDxeP Lenovo Vibe K4 Note (AFFILIATE) http://amzn.to/2fXUagO ________________________________________________ I hope You liked the video, Please Like, Share.. If you have any comment queries, ask me in comments. SUBSCRIBE This Channel if You Have Not Subscribe Yet.. ♥️ It works for you? Yess then You can donate small donation for my Awesome work..😊 As this channel is non monetized😑 ➡️ Donate ➡️ Paypal: https://bit.ly/2zodsbP
Views: 55042 Just2 techno
A survey of open-source data mining tools - Survey Bots
 
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A survey of open-source data mining tools - Survey Bots
Views: 404 SUMEET KUMAR Singh
Tanagra Data Mining
 
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an "open source project" as every researcher can access to the source code, and add his own algorithms, as far as he agrees and conforms to the software distribution license.
Views: 14283 Emmanuel Felipe
No coding required: Expand your data mining toolset with predictive extensions
 
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Open-source technology is creating new opportunities to become data-driven. For years, users of IBM SPSS Modeler have incorporated open-source languages within predictive models to conduct analysis. Now, take this capability a step farther with the introduction of predictive extensions, which can be plugged into SPSS Modeler to allow professional analysts and business users to take advantage of additional functionality without having to write code. Find out how enhancements to SPSS Modeler will enable you to do the following: • Find predictive extensions with the help of the SPSS predictive analytics community. • Download, install and modify predictive extensions through the SPSS Modeler interface. • Build your own R- and Python-based predictive extensions using the Custom Dialog Builder. Learn how you can use SPSS predictive extensions to take advantage of open source technology in your data analysis. Learn more about IBM SPSS http://ibm.co/spsstrial Subscribe to the IBM Analytics Channel: https://www.youtube.com/subscription_center?add_user=ibmbigdata The world is becoming smarter every day, join the conversation on the IBM Big Data & Analytics Hub: http://www.ibmbigdatahub.com https://www.youtube.com/user/ibmbigdata https://www.facebook.com/IBManalytics https://www.twitter.com/IBMbigdata https://www.slideshare.net/IBMBDA
Views: 298 IBM Analytics
Executing Open Source Code in Machine Learning Pipelines
 
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Executing Open Source Code in Machine Learning Pipelines of SAS Visual Data Mining and Machine Learning http://support.sas.com/software/products/visual-data-mining-machine-learning/index.html Presenter: Radhikha Myneni Radhikha Myneni demonstrates how to execute open source code, specifically Python and R in SAS Visual Data Mining & Machine Learning pipelines. SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 781 SAS Software
Harvest - Open Source Browser Mining Software
 
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Harvest is an Open Source Monero Browser Mining Application. The Mission is to provide a Community Browser(Javascript/WebAssembly) Mining Software for the Monero.
Views: 1042 Kames Cox-Geraghty
Ankus (Data Mining and Machine Learning) Open Source User Guide Video
 
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하둡 기반의 Ankus (Data Mining and Machine Learning) 오픈소스의 전체 기능을 가이드한 동영상입니다.
Views: 410 전수현
Mining Software Repository Made Easy - Boa Language and its Data Store
 
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Software repositories, e.g. SourceForge, GitHub, etc. contain an enormous corpus of software and information about software. Scientists and engineers alike are interested in analyzing this wealth of information both for curiosity as well as for testing important research hypotheses. However, the current barrier to entry is prohibitive and the cost of such scientific experiments great. Furthermore, these experiments are often irreproducible. This talk will describe our work on the Boa language and its data-intensive infrastructure. In a nutshell, Boa aims to be for open source-related research as Mathematica is to numerical computing, R is for statistical computing, and Verilog and VHDL is for hardware description. Our evaluation shows that Boa significantly decreases the burden of the scientists and engineers analyzing human and technical aspects of open source software development allowing them to focus on the essential tasks of scientific research. This is a collaborative work with Robert Dyer, Hoan Nguyen and Tien Nguyen all at Iowa State University.
Views: 565 Microsoft Research
3.3 Machine learning softwares
 
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Software suites containing a variety of machine learning algorithms: – Open source software – Proprietary software – Proprietary software with open source editions Open source softwares – CNTK (Microsoft Cognitive Toolkit) – TensorFlow ELKI H2O Caffe – Mahout Mallet MLPACK MXNet – OpenNN Orange scikit-learn Shogun – Weka/MOA Yooreeka Deeplearning4j – Spark Mllib Torch / PyTorch Apache Singa Proprietary software - Open-source editions • KNIME • RapidMiner KNIME, the Konstanz Information Miner, is a open-source data analytics, reporting and integration platform. – KNIME integrates various components for machine learning and data mining. – KNIME Software in available in the Cloud – Azure and AWS. RapidMiner is a data science platform that provides an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics. – It is used for business and commercial applications as well as for research, education, training, rapid prototyping, and application development and supports all steps of the machine learning process. Proprietary software • Amazon Machine Learning • Angoss Knowledge STUDIO • Ayasdi • IBM Data Science Experience • Google Prediction API • IBM SPSS Modeler • KXEN Modeler • LIONsolver • Mathematica • MATLAB • Microsoft Azure ML • Neural Designer • Splunk • Oracle Data Mining • SAP Leonardo ML • SAS Enterprise Miner AWS and Machine Learning • Amazon is investing in artificial intelligence for over 20 years. Echo powered by Alexa and others are just the beginning. • Amazon mission is to share ML capabilities as fully managed services.
Views: 29 CBTUniversity
Searching and Mining Open Source Code from the Web
 
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Google Tech Talks June, 4 2008 ABSTRACT Various data mining techniques have been applied to mine source code repositories. However, relying only on one or several local source code repositories may not provide sufficient, relevant data samples (e.g., usage of a certain API call) for mining tasks such as code reuse and defect detection. The recent availability of code search engines allows the mining scope to be scaled to billions of lines of open source code available from the Web, and thus increases the chance of getting sufficient, relevant data samples for mining. This talk will discuss the mining opportunities and challenges based on searching open source code from the Web and present new approaches that mine open source code searched from the Web to assist code reuse and defect detection Speaker: Tao Xie Tao Xie is an Assistant Professor in the Department of Computer Science at North Carolina State University. He received his Ph.D. in Computer Science from the University of Washington in 2005. He leads the Automated Software Engineering Research Group at North Carolina State University. His research centers around two major themes: automated software testing and mining software engineering data. He has served on a number of conference program committees including ISSTA 2008/2009, ASE 2006/2007(Expert-Review Panel)/2008, ICST 2008, AOSD 2007, and ICSM 2007/2008. Besides doing research, he has contributed to understanding the software engineering research community by building community webs such as Software Engineering Academic Genealogy and Software Engineering Conference Map.
Views: 5797 GoogleTechTalks
40 Data Analysis New Tools - analyticip.com
 
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http://www.analyticip.com statistical data mining, statistical analysis and data mining, data mining statistics web analytics, web analytics 2.0, web analytics services, open source web analytics, web analytics consulting, , what is data mining, data mining algorithms, data mining concepts, define data mining, data visualization tools, data mining tools, data analysis tools, data collection tools, data analytics tools, data extraction tools, tools for data mining, data scraping tools, list of data mining tools, software data mining, best data mining software, data mining software, data mining softwares, software for data mining, web mining, web usage mining, web content mining, web data mining software, data mining web, data mining applications, applications of data mining, application data mining, open source data mining, open source data mining tools, data mining for business intelligence, business intelligence data mining, business intelligence and data mining, web data extraction, web data extraction software, easy web extract, web data extraction tool, extract web data
Views: 86 Data Analytics
SPS2017: Educational Data Mining Software
 
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The video is giving details about research software developed using WEKA (Open source Data Mining tool) and JAVA (Programming Language). The first version is developed in 2017. Anyone having the link can download this software and directly use this software without any installation. All the instructions are given in 'README.txt' file in a downloaded zip folder. Any suggestions and questions are invited in the comment section below. Feel free to add below. Music Credits: Youtube Audio Library
Prediction Using Weka Tool- Machine Learning Tutorial
 
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Weka is an Open source Machine Learning Application which helps to predict the required data as per the given parameters
Views: 5040 MOHIT RATNESH
SEO - Keyword discovery tool - Mozenda Data Mining - analyticip.com
 
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http://www.analyticip.com statistical data mining, statistical analysis and data mining, data mining statistics web analytics, web analytics 2.0, web analytics services, open source web analytics, web analytics consulting, , what is data mining, data mining algorithms, data mining concepts, define data mining, data visualization tools, data mining tools, data analysis tools, data collection tools, data analytics tools, data extraction tools, tools for data mining, data scraping tools, list of data mining tools, software data mining, best data mining software, data mining software, data mining softwares, software for data mining, web mining, web usage mining, web content mining, web data mining software, data mining web, data mining applications, applications of data mining, application data mining, open source data mining, open source data mining tools, data mining for business intelligence, business intelligence data mining, business intelligence and data mining, web data extraction, web data extraction software, easy web extract, web data extraction tool, extract web data
Views: 72 Data Analytics
how to install elki data mining on ubuntu 16.10
 
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ELKI is an open source (AGPLv3) data mining software written in Java. The focus of ELKI is research in algorithms, with an emphasis on unsupervised methods in cluster analysis and outlier detection. In order to achieve high performance and scalability, ELKI offers data index structures such as the R*-tree that can provide major performance gains. ELKI is designed to be easy to extend for researchers and students in this domain, and welcomes contributions of additional methods. ELKI aims at providing a large collection of highly parameterizable algorithms, in order to allow easy and fair evaluation and benchmarking of algorithms. source link:-https://elki-project.github.io/ -------------------------------------------------------------------------------------------------- commands: apt-get update apt-get install elki -------------------------------------------------------------------------------------------------- ELKI: Environment for Developing KDD-Applications Supported by Index-Structures --------------------------------------------------------------------------------------------------
Views: 536 Tech ind
RapidMiner Tutorial - GUI Overview (Data Mining and Predictive Analytics Software)
 
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A tutorial overview of the RapidMiner GUI. RapidMiner is an open source system for data mining, predictive analytics, machine learning, and artificial intelligence applications. For more information: http://rapid-i.com/ Brought to you by Rapid Progress Marketing and Modeling, LLC (RPM Squared) http://www.RPMSquared.com/
Views: 3453 Predictive Analytics
Answers from Big Data - analyticip.com
 
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http://www.analyticip.com statistical data mining, statistical analysis and data mining, data mining statistics web analytics, web analytics 2.0, web analytics services, open source web analytics, web analytics consulting, , what is data mining, data mining algorithms, data mining concepts, define data mining, data visualization tools, data mining tools, data analysis tools, data collection tools, data analytics tools, data extraction tools, tools for data mining, data scraping tools, list of data mining tools, software data mining, best data mining software, data mining software, data mining softwares, software for data mining, web mining, web usage mining, web content mining, web data mining software, data mining web, data mining applications, applications of data mining, application data mining, open source data mining, open source data mining tools, data mining for business intelligence, business intelligence data mining, business intelligence and data mining, web data extraction, web data extraction software, easy web extract, web data extraction tool, extract web data
Views: 254 Data Analytics
RapidMiner Tutorial - Visualization  (Data Mining and Predictive Analytics System)
 
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A tutorial discussing some of the visualization capabilities of RapidMiner, an open source system for data mining, predictive analytics, machine learning, and artificial intelligence applications. For more information: http://rapid-i.com/ Brought to you by Rapid Progress Marketing and Modeling, LLC (RPM Squared) http://www.RPMSquared.com/
Views: 10310 Predictive Analytics
Opensource BI tool-Pentaho
 
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http://www.pragtech.co.in/services/business-intelligence/pentaho.html The Pentaho Business Analytics platform provides enterprise-class reporting, analysis, dashboard, data mining and work flow capabilities that help enterprises operate more efficiently and effectively. The software offers a very flexible deployment options such as embeddable components, customized BI application solutions, and as a complete out-of-the-box, integrated BI platform.
Introduction to Weka
 
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This video cover Introduction to Weka: A Data Mining Tool. This tool is open source, freely available, very light and Java based. It can be used to apply data mining algorithms very easily by using simple GUI.
Kamanja: An Open Source Real Time System for Scoring Data Mining Models, Greg Makowski 20150727
 
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Greg Makowski, Director of Data Science, LigaDATA This talk will start with a number of complex data real-time use cases, such as a) complex event processing, b) supporting the modeling of a data mining department and c) developing enterprise applications on Apache big-data systems. While Hadoop and big data has been around for a while, banks and healthcare companies tend not to be early IT adopters. What are some of the security or roadblocks in Apache big data systems for such industries with high requirements? Data mining models can be trained in dozens of packages, but what can simplify the deployment of models regardless of where they were trained or with what algorithm? Predictive Modeling Markup Language (PMML), is a type of XML with specific support for 15 families of data mining algorithms. Data mining software such as R, KNIME, Knowledge Studio, SAS Enterprise Miner are PMML producers. The new open-source product, Kamanja, is the first open-source, real-time PMML consumer (scoring system). One advantage of PMML systems is that it can reduce time to deploy production models from 1-2 months to 1-2 days - a pain point that may be less obvious if your data mining exposure is competitions or MOOCs. Kamanja is free on Github, supports Kafka, MQ, Spark, HBase and Cassandra among other things. Being a new open-source product, initially, Kamanja supports rules, trees and regression. I will cover an architecture of a sample application using multiple real-time open source data, such as social network campaigns and tracking sentiment for the bank client and its competitors. Other real-time architectures cover credit card fraud detection. A brief demo will be given of the social network analysis application, with text mining. An overview of products in the space will include popular Apache big data systems, real-time systems and PMML systems. For more details: Slides: http://www.slideshare.net/gregmakowski/kamanja-driving-business-value-through-realtime-decisioning-solutions http://kamanja.org/ http://www.meetup.com/SF-Bay-ACM/events/223615901/ http://www.sfbayacm.org/event/kamanja-new-open-source-real-time-system-scoring-data-mining-models Venue sponsored by eBay, Food and live streaming sponsored by LigaDATA, San Jose, CA, July 27, 2015 Chapter Chair Bill Bruns Data Science SIG Program Chair Greg Makowski Vice Chair Ashish Antal Volunteer Coordinator Liana Ye Volunteers Joan Hoenow, Stephen McInerney, Derek Hao, Vinay Muttineni Camera Tom Moran Production Alex Sokolsky Copyright © 2015 ACM San Francisco Bay Area Professional Chapter
Data Mining with WEKA
 
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Learn Data Mining with WEKA - Open Source Data Mining and Machine Learning platform Software: http://www.cs.waikato.ac.nz/ml/weka/ More about FX Data Mining: http://www.algonell.com/
Data Mining Software for Business and Science Video Tour
 
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The newest data mining methods were incorporated into ESTARD Data Miner for carrying out automated data analysis. To work with this data mining tool you won't need SQL knowledge or long special trainings. The tool is a powerful end-to-end analytical solution: using it withing few clicks you will be able to discover hidden relations in data and to apply discovered knowledge for WHAT-IF analysis and searching for data patterns. Prediction becomes easy as never before. This data mining tool can be used knowledge discovery in various sectors including: * insurance industry * banking * finances * marketing campaigns * accounting & inventory management * healthcare * scientific researches * military sphere. Thanks to built in wizards and user-friendly interface unexperienced users need minimum time to start working with our data mining tool. ESTARD Software: https://secure.avangate.com/affiliate.php?ACCOUNT=HESTARD&AFFILIATE=25621&PATH=http%3A%2F%2Fwww.estard.com
Views: 855 Derrick Pride
[LIVE] Kamanja: A New Open Source Real-Time System for Scoring Data Mining Models, Greg Makowski,
 
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[Streamed version. Front & back trimmed. Slide issue in beginning.] An edited version is available: https://www.youtube.com/watch?v=ANqB72b0r38 Slides: http://www.slideshare.net/gregmakowski/kamanja-driving-business-value-through-realtime-decisioning-solutions Greg Makowski, Director of Data Science, LigaDATA This talk will start with a number of complex data real-time use cases, such as a) complex event processing, b) supporting the modeling of a data mining department and c) developing enterprise applications on Apache big-data systems. While Hadoop and big data has been around for a while, banks and healthcare companies tend not to be early IT adopters. What are some of the security or roadblocks in Apache big data systems for such industries with high requirements? Data mining models can be trained in dozens of packages, but what can simplify the deployment of models regardless of where they were trained or with what algorithm? Predictive Modeling Markup Language (PMML), is a type of XML with specific support for 15 families of data mining algorithms. Data mining software such as R, KNIME, Knowledge Studio, SAS Enterprise Miner are PMML producers. The new open-source product, Kamanja, is the first open-source, real-time PMML consumer (scoring system). One advantage of PMML systems is that it can reduce time to deploy production models from 1-2 months to 1-2 days - a pain point that may be less obvious if your data mining exposure is competitions or MOOCs. Kamanja is free on Github, supports Kafka, MQ, Spark, HBase and Cassandra among other things. Being a new open-source product, initially, Kamanja supports rules, trees and regression. I will cover an architecture of a sample application using multiple real-time open source data, such as social network campaigns and tracking sentiment for the bank client and its competitors. Other real-time architectures cover credit card fraud detection. A brief demo will be given of the social network analysis application, with text mining. An overview of products in the space will include popular Apache big data systems, real-time systems and PMML systems. For more details: http://kamanja.org/ http://www.meetup.com/SF-Bay-ACM/events/223615901/ http://www.sfbayacm.org/event/kamanja-new-open-source-real-time-system-scoring-data-mining-models Venue sponsored by eBay, Food and live streaming sponsored by LigaDATA, San Jose, CA, July 27, 2015 Chapter Chair Bill Bruns Data Science SIG Program Chair Greg Makowski Vice Chair Ashish Antal Volunteer Coordinator Liana Ye Volunteers Joan Hoenow, Stephen McInerney, Derek Hao, Vinay Muttineni Camera Tom Moran Production Alex Sokolsky Copyright © 2015 ACM San Francisco Bay Area Professional Chapter
Views: 1155 San Francisco Bay ACM
RapidMiner Tutorial - Importing Data into RapidMiner (Data Mining and Predictive Analytics System)
 
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A tutorial showing how to import data into RapidMiner. RapidMiner is an open source system for data mining, predictive analytics, machine learning, and artificial intelligence applications. For more information: http://rapid-i.com/ Brought to you by Rapid Progress Marketing and Modeling, LLC (RPM Squared) http://www.RPMSquared.com/
Views: 16390 Predictive Analytics
Data Mining with WEKA and KNIME
 
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This video is present the Data mining GUI tools and concept. WEKA is a collection of state-of-the-art machine learning algorithms and data preprocessing tools written in Java, developed at the University of Waikato, New Zealand. KNIME stands for Konstanz Information Miner It is an Open Source Data Analytics, Reporting and Integration platform you can view the presentation on https://www.slideshare.net/pgpm64/data-mining-gui-tools-with-demo
GNU PSPP For Linux Mint ( Ubuntu) :  A Free & Open Source Alternative To IBM SPSS
 
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GNU PSPP For Linux Mint ( ubuntu) : A Free & Open Source Alternative To IBM SPSS ( Statistical analysis and data mining tool) Installation Command: sudo apt-get install pspp ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ # Visit my blog for more updates - http://linuxforever.info/ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ ❤ PSPP is a program for statistical analysis of sampled data. It is a free replacement for the proprietary program SPSS. PSPP supports T-tests, ANOVA, GLM, factor analysis, non-parametric tests, and other statistical features. PSPP produces statistical reports in plain text, PDF, PostScript, CSV, HTML, SVG, and OpenDocument formats. PSPP has both text-based and graphical user interfaces. The PSPP user interface has been translated into a number of languages.
Views: 4095 linuxforever
RapidMiner Tutorial - Evaluation  (Data Mining and Predictive Analytics System)
 
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A tutorial discussing analytics evaluation with RapidMiner, an open source system for data mining, predictive analytics, machine learning, and artificial intelligence applications. For more information: http://rapid-i.com/ Brought to you by Rapid Progress Marketing and Modeling, LLC (RPM Squared) http://www.RPMSquared.com/
Views: 4924 Predictive Analytics
Data Mining mit Orange
 
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Andreas Bresser https://2013.de.pycon.org/schedule/sessions/3/ Es wird eine einfache Einführung in das Thema Data Mining gegeben. Dazu werden anschauliche Beispiele für den Einsatz von Orange gezeigt. Orange ist ein Open Source Programm, das Data Mining und Datenvisualisierung durch visuelle Programmierung oder Python Scripting ermöglicht.
Views: 1461 Next Day Video
Free Machine Learning Software | Machine Learning Software | Free Machine Learning Software
 
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Free Machine Learning Software: http://bit.ly/2gUOYKI Free Machine Learning Software for you. This software is totally free. Just click the upper link and download the Machine Learning Software Free. Top searching keywords: Free Machine Learning Software | machine learning software | data mining software | weka software | mining software | data mining tools | open source machine learning software | weka | machine learning with r | introduction to machine learning | machine learning software open source | data extraction software | machine learning software tools | machine learning open source software | download weka tool | artificial intelligence software | machine learning online course | weka data mining
Views: 44 Jamie Lopez
RapidMiner Tutorial - Overview of the Data Mining and Predictive Analytics
 
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A tutorial overview of RapidMiner, an open source system for data mining, predictive analytics, machine learning, and artificial intelligence applications. For more information: http://rapid-i.com/ Brought to you by Rapid Progress Marketing and Modeling, LLC (RPM Squared) http://www.RPMSquared.com/ www.RPMSquared.com
Views: 9581 Predictive Analytics
KEEL Data mining tool demo
 
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KEEL Data minig tool Demo of installation and Working
Views: 3669 Manukumar K J
Introduction to Data Science with R - Data Analysis Part 1
 
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Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data exploration, data wrangling, data analysis, data visualization, feature engineering, and machine learning. All source code from videos are available from GitHub. NOTE - The data for the competition has changed since this video series was started. You can find the applicable .CSVs in the GitHub repo. Blog: http://daveondata.com GitHub: https://github.com/EasyD/IntroToDataScience I do Data Science training as a Bootcamp: https://goo.gl/OhIHSc
Views: 859045 David Langer
How To Connect Google Webmaster Tools To Google Analytics - analyticip.com
 
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http://www.analyticip.com statistical data mining, statistical analysis and data mining, data mining statistics web analytics, web analytics 2.0, web analytics services, open source web analytics, web analytics consulting, , what is data mining, data mining algorithms, data mining concepts, define data mining, data visualization tools, data mining tools, data analysis tools, data collection tools, data analytics tools, data extraction tools, tools for data mining, data scraping tools, list of data mining tools, software data mining, best data mining software, data mining software, data mining softwares, software for data mining, web mining, web usage mining, web content mining, web data mining software, data mining web, data mining applications, applications of data mining, application data mining, open source data mining, open source data mining tools, data mining for business intelligence, business intelligence data mining, business intelligence and data mining, web data extraction, web data extraction software, easy web extract, web data extraction tool, extract web data
Views: 81 Data Analytics
Blackhat 2012 EUROPE - Data Mining a Mountain of Zero Day Vulnerabilities
 
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This video is part of the Infosec Video Collection at SecurityTube.net: http://www.securitytube.net Blackhat 2012 EUROPE - Data Mining a Mountain of Zero Day Vulnerabilities Every day, software developers around the world, from Bangalore to Silicon Valley, churn out millions of lines of insecure code. We used static binary analysis on thousands of applications submitted to us by large enterprises, commercial software vendors, open source projects, and software outsourcers, to create an anonymized vulnerability data set. By mining this data we can answer some interesting questions. Which industries have the most secure and least secure code? What types of mistakes do developers make most often? Which languages and platforms have the apps with the most vulnerabilities? Should you be most worried of internally built apps, open source, commercial software, or outsourcers? These questions and many more will be answered as we tunnel through zero day mountain. https://media.blackhat.com/bh-eu-12/Wysopal/bh-eu-12-Wysopal-State_of_Software_Security-WP.pdf https://media.blackhat.com/bh-eu-12/Wysopal/bh-eu-12-Wysopal-State_of_Software_Security-Slides.pdf
Views: 1405 SecurityTubeCons
18 Predictive Analytics Training with Weka  (Decision trees)
 
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Data Mining and Predictive Analytics training course using the open source Weka tool. Videos producted by the University of Waikato, New Zealand. Posted by Rapid Progress Marketing and Modeling, LLC (RPM2) under CC BY 3.0 RPM2 is a full-service Predictive Analytics and Data Sciences Services company specializing in Model Development, Consulting, Direct Marketing Services, and Professional Training. Visit us at http://www.RPMSquared.com/
Views: 4763 Predictive Analytics
Data Mining Tool (RapidMiner)
 
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Data Mining Tool Exploration
Views: 1528 Alain Estaris
09 Predictive Analytics Training with Weka (Training and testing)
 
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Data Mining and Predictive Analytics training course using the open source Weka tool. Videos producted by the University of Waikato, New Zealand. Posted by Rapid Progress Marketing and Modeling, LLC (RPM2) under CC BY 3.0 RPM2 is a full-service Predictive Analytics and Data Sciences Services company specializing in Model Development, Consulting, Direct Marketing Services, and Professional Training. Visit us at http://www.RPMSquared.com/
Views: 8580 Predictive Analytics
Rattle for Data Mining - Using R without programming (CRAN)
 
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www.learnanalytics.in demostrates use of an free and open source platform to build sophisticated predictive models. We demonstrate using R package Rattle to do data analysis without writing a line of r code. We cover hypothesis testing, descriptive statistics, linear and logistic regression with a flavor of machine learning (Random Forest, SVM etc.). Also using graphs such as ROC curves and Area under curves (AUC) to compare various models. To download the dataset and follow on your own follow http://www.learnanalytics.in/datasets/Credit_Scoring.zip
Views: 41878 Learn Analytics
An Introduction to KNIME
 
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This video is an introduction of KNIME. KNIME is an open source platform for data analysis, predictive analytics and modeling. It is not based on a script language rather it has a graphical interface. This video shows the basic functions KNIME in terms of the process of reading, manipulating, visualizing and analyzing data.
Views: 102244 KNIMETV
Traditional data mining software vs Dataconda
 
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Whereas traditional data mining software can analyze only one flat table, Dataconda can analyze an entire relational database.
Views: 449 Dataconda
Anomaly Detection in Process Mining
 
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Open Source ProM Plugin
Views: 17 Dohyeon Kim

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