Posts by Category: Data Mining Resources

Weka 3: Data Mining Software in Java

February 26, 2016

Weka 3: Data Mining Software in Java
http://www.cs.waikato.ac.nz/~ml/weka/

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. Found only on the islands of New Zealand, the Weka is a flightless bird with an inquisitive nature. The name is pronounced like this, and the bird sounds like this. Weka is open source software issued under the GNU General Public License. Yes, it is possible to apply Weka to big data! Data Mining with Weka is a 5 week MOOC, which was held first in late 2013. Check out the MOOC site for video lectures and details on how to enrol into this course and a new, advanced Weka course. This will be added to Data Mining Resources Subject Tracer™. This will be added to Statistics Resources and Big Data Subject Tracer™.
 

 

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DataMelt – Computation and Visualization Environment

February 26, 2016

DataMelt – Computation and Visualization Environment
http://jwork.org/dmelt/

DataMelt is a free mathematics software for scientists, engineers and students. It can be used for numeric computation, statistics, symbolic calculations, data analysis and data visualization. DataMelt, or DMelt, is a software for numeric computation, statistics, analysis of large data volumes (“big data”) and scientific visualization. The program can be used in many areas, such as natural sciences, engineering, modeling and analysis of financial markets. DMelt is a computational platform. It can be used with different programming languages on different operating systems. Unlike other statistical programs, it is not limited by a single programming language. DMelt can be used with several scripting languages, such as Python/Jython, BeanShell, Groovy, Ruby, as well as with Java. Most comprehensive software. It includes more than 30,000 Java classes for computation and visualization. In addition, more than 4000 classes come with Java API, plus 500 Python modules. Not to mention modules of Groovy and Ruby. All libraries are accessed using dynamic scripting. DMelt creates high-quality vector-graphics images (SVG, EPS, PDF etc.) that can be included in LaTeX and other text-processing systems. DataMelt can be used with several scripting languages for the JAVA platform: Jython (Python programming language), Groovy, JRuby (Ruby programming language) and BeanShell. All scripting languages use common DMelt JAVA API. Data analyses and statistical computations can be done in JAVA. Finally, symbolic calculations can be done using Matlab/Octave high-level interpreted language integrated with JAVA. DataMelt runs on Windows, Linux, Mac and Android operating systems. The Android application is called AWork. Thus the software represents the ultimate analysis framework which can be used on any hardware, such as desktops, laptops, netbooks, production servers and android tablets. DataMelt is a portable application. No installation is needed: simply download and unzip the package, and you are ready to run it. One can run it from a hard drive, from a USB flash drive or from any media. DataMelt exists as an open-source portable application, and as JAVA libraries under a commercial friendly license. This will be added to Data Mining Resources Subject Tracer™. This will be added to Statistics Resources and Big Data Subject Tracer™.

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KEEL (Knowledge Extraction based on Evolutionary Learning)

February 26, 2016

KEEL (Knowledge Extraction based on Evolutionary Learning)
http://www.keel.es/

KEEL (Knowledge Extraction based on Evolutionary Learning) is an open source (GPLv3) Java software tool that can be used for a large number of different knowledge data discovery tasks. KEEL provides a simple GUI based on data flow to design experiments with different datasets and computational intelligence algorithms (paying special attention to evolutionary algorithms) in order to assess the behavior of the algorithms. It contains a wide variety of classical knowledge extraction algorithms, preprocessing techniques (training set selection, feature selection, discretization, imputation methods for missing values, among others), computational intelligence based learning algorithms, hybrid models, statistical methodologies for contrasting experiments and so forth. It allows to perform a complete analysis of new computational intelligence proposals in comparison to existing ones. Moreover, KEEL has been designed with a two-fold goal: research and educational. This will be added to Knowledge Discovery Subject Tracer™. This will be added to Data mining Resources Subject Tracer™.

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Awareness Watch Talk Show for Wednesday December 16, 2015 at 2:00pm EST – Data Mining Resources

December 16, 2015

Awareness Watch Talk Show for Wednesday December 16, 2015 at 2:00pm EST – Data Mining Resources
http://www.BlogTalkRadio.com/AwarenessWatch/

This program will be featuring my Subject Tracer™ and white paper Data Mining Resources. We will be highlighting the latest and greatest resources and sources for data mining covering search engines, subject directories, articles, guides and tracers….literally everything DATA MINING on the Internet!!!! We will also discussing my latest freely available Awareness Watch Newsletter V13N12 December 2015 and my freely available December 2015 Zillman Column. You may call in to ask your questions at (718)508-9839. The show is live and thirty minutes in length starting at 2:00pm EST on Wednesday, December 16, 2015 and then archived for easy review and access. Listen, Call and Enjoy!!

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LoginWorks – Advanced Solutions – Data Mining and Web Scraping

December 09, 2015

LoginWorks – Advanced Solutions – Data Mining and Web Scraping
http://www.loginworks.com/

Advanced solutions including: a) Data Mining – Loginworks DataStream delivers up to date quality data for Actionable Decisions and Strategy Formulation, Analysis and Monitoring. Helping you create significant business value to make your customers happy & stay longer with you; b) Mobile Application – Loginworks Advanced Solutions caters to responsive web and mobile application development; using latest technologies for today’s dynamic market environment. We are early adopters of new technology; enabling change in your organisation for development; and c) Web Development – Loginworks Stepping up your marketing strategy for Online Engagement. Adopting an Inclusive Strategy, where technology meets creativity to increase reach, awareness, engagement between you and your stakeholders. This will be added to Web Data Extractors White Paper. This will be added to Data Mining Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™.

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Updated> Data Mining Resources Whitepaper Dataset Link Compilation

October 20, 2015

Updated> Data Mining Resources Whitepaper Dataset Link Compilation
http://www.DataMiningResources.info/

I have updated my Data Mining Resources Subject Tracer™ Whitepaper Dataset Link Compilation and it is now a 26 page (244KB) .pdf white paper document is available from the above URL link. It lists alphabetically the latest resources and sources for data mining available from the Internet.[Completely updated with all links validated and new URLs added on October 20, 2015] Additional white papers and resources by Marcus P. Zillman are available by clicking here.

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Updated> Data Mining Resources Whitepaper Dataset Link Compilation

August 11, 2015

Updated> Data Mining Resources Whitepaper Dataset Link Compilation
http://www.DataMiningResources.info/

I have updated my Data Mining Resources Subject Tracer™ Whitepaper Dataset Link Compilation and it is now a 26 page (244KB) .pdf white paper document is available from the above URL link. It lists alphabetically the latest resources and sources for data mining available from the Internet.[Updated August 11, 2015] Additional white papers and resources by Marcus P. Zillman are available by clicking here.

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Updated> Data Mining Resources Whitepaper Dataset Link Compilation

July 11, 2015

Updated> Data Mining Resources Whitepaper Dataset Link Compilation
http://www.DataMiningResources.info/

I have updated my Data Mining Resources Subject Tracer™ Whitepaper Dataset Link Compilation and it is now a 26 page (244KB) .pdf white paper document is available from the above URL link. It lists alphabetically the latest resources and sources for data mining available from the Internet.[Updated July 11, 2015] Additional white papers and resources by Marcus P. Zillman are available by clicking here.

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Data Mining for the Masses

July 10, 2015

Data Mining for the Masses
http://www.onlineprogrammingbooks.com/data-mining-masses/

In Data Mining for the Masses, professor Matt North—a former risk analyst and database developer for eBay.com—uses simple examples, clear explanations and free, powerful, easy-to-use software to teach you the basics of data mining; techniques that can help you answer some of your toughest business questions. Topics included: Introduction to Data Mining and CRISP-DM 3 • Organizational Understanding and Data Understanding • Data Preparation • Correlation • Association Rules • k-Means Clustering • Discriminant Analysis • Linear Regression • Logistic Regression • Decision Trees • Neural Networks • Text Mining • Evaluation and Deployment • Data Mining Ethics. This will be added to Data Mining Resources Subject Tracer™.

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Dataminr – Real-time Information Discovery

May 21, 2015

Dataminr – Real-time Information Discovery
http://www.dataminr.com/

Dataminr transforms the Twitter stream and other public datasets into actionable signals, discovering must-know information in real-time for clients in Finance, the Public Sector, News, Security and Crisis Management. Using powerful, proprietary algorithms, Dataminr instantly analyzes all public tweets and other publicly available data to deliver the earliest signals for breaking news, real-world events, off the radar context and perspective, and emerging trends. This has been added to the tools section of Research Resources Subject Tracer™ Information Blog. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to Bot Research Subject Tracer™. This will be added to Web Data Extractors white paper. This will be added to Knowledge Discovery Subject Tracer™.

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