Posts by Category: Data Mining Resources

Awareness Watch Talk Show for Wednesday May 3, 2017 at 2:00pm EDST – Data Mining Resources 2017

May 03, 2017

Awareness Watch Talk Show for Wednesday May 3, 2017 at 2:00pm EDST – Data Mining Resources 2017
http://www.BlogTalkRadio.com/AwarenessWatch/

This program will be featuring my just updated Data Mining Resources 2017 2017 . 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 on the Internet for DATA MINING!! We will also discussing my latest freely available Awareness Watch Newsletter V15N5 May 2017 featuring Searching the Internet 2017 – The Primer as well as my freely available May 2017 Zillman Column highlighting Privacy Resources 2017. 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 EDST on Wednesday, May 3, 2017 and then archived for easy review and access. Listen, Call and Enjoy!!

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Updated> Data Mining Resources 2017 Whitepaper Dataset Link Compilation

April 29, 2017

Updated> Data Mining Resources 2017 Whitepaper Dataset Link Compilation
http://www.DataMiningResources.info/

I have just updated my Data Mining Resources 2017 Subject Tracer™ Whitepaper Dataset Link Compilation and it is now a 33 page (287KB) .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 April 29, 2017] Additional white papers and resources by Marcus P. Zillman are available by clicking here.

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Updated> Data Mining Resources 2017 Whitepaper Dataset Link Compilation

February 13, 2017

Updated> Data Mining Resources 2017 Whitepaper Dataset Link Compilation
http://www.DataMiningResources.info/

I have just updated my Data Mining Resources 2017 Subject Tracer™ Whitepaper Dataset Link Compilation and it is now a 33 page (287KB) .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 February 13, 2017] Additional white papers and resources by Marcus P. Zillman are available by clicking here.

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Updated> Data Mining Resources 2017 Whitepaper Dataset Link Compilation

December 22, 2016

Updated> Data Mining Resources 2017 Whitepaper Dataset Link Compilation
http://www.DataMiningResources.info/

I have just updated my Data Mining Resources 2017 Subject Tracer™ Whitepaper Dataset Link Compilation and it is now a 33 page (287KB) .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 December 22, 2016] Additional white papers and resources by Marcus P. Zillman are available by clicking here.

327 views

Updated> Data Mining Resources 2016 Whitepaper Dataset Link Compilation

September 28, 2016

Updated> Data Mining Resources 2016 Whitepaper Dataset Link Compilation
http://www.DataMiningResources.info/

I have just updated my Data Mining Resources 2016 Subject Tracer™ Whitepaper Dataset Link Compilation and it is now a 33 page (306KB) .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 September 28, 2016] Additional white papers and resources by Marcus P. Zillman are available by clicking here.

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July 2016 Zillman Column – Data Mining Resources 2016

June 18, 2016

July 2016 Zillman Column – Data Mining Resources 2016
http://columns.virtualprivatelibrary.net/Data_Mining_Resources_2016_July16_Column.pdf
http://www.zillmancolumns.com/

The July 2016 Zillman Column features Data Mining Resources 2016 by Marcus P. Zillman, M.S., A.M.H.A.; Executive Director of the Virtual Private Library. This is a comprehensive listing of data mining directories, subject guides and index resources and sites available on the Internet. Download this excellent freely available 33 page column 288KB today. These resources and sources will help you to discover the many pathways available through the Internet to find the latest data mining resources and sites. This is another MUST have column to discover these data mining resources in today’s ever changing New Economy world!!

This research is powered by Subject Tracer Bots™ available from the Virtual Private Library™.

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Updated> Data Mining Resources 2016 Whitepaper Dataset Link Compilation

June 01, 2016

Updated> Data Mining Resources 2016 Whitepaper Dataset Link Compilation
http://www.DataMiningResources.info/

I have just updated my Data Mining Resources 2016 Subject Tracer™ Whitepaper Dataset Link Compilation and it is now a 33 page (299KB) .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 June 1, 2016] Additional white papers and resources by Marcus P. Zillman are available by clicking here.

421 views

MOA (Massive Online Analysis)

May 07, 2016

MOA (Massive Online Analysis)
http://moa.cms.waikato.ac.nz/

MOA is the most popular open source framework for data stream mining, with a very active growing community (blog). It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation. Related to the WEKA project, MOA is also written in Java, while scaling to more demanding problems. MOA performs BIG DATA stream mining in real time, and large scale machine learning. MOA can be extended with new mining algorithms, and new stream generators or evaluation measures. The goal is to provide a benchmark suite for the stream mining community. This will be added to Data mining Resources Subject Tracer™. This will be added to Artificial Intelligence Resources Subject Tracer™.

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SPMF – Open Source Data Mining Library

February 27, 2016

SPMF – Open Source Data Mining Library
http://www.philippe-fournier-viger.com/spmf/

SPMF is an open-source data mining mining library written in Java, specialized in pattern mining. It is distributed under the GPL v3 license. It offers implementations of 112 data mining algorithms for: a) association rule mining; b) itemset mining; c) sequential pattern mining; d) sequential rule mining; e) sequence prediction; f) high-utility pattern mining; and g) clustering and classification. The source code of each algorithm can be integrated in other Java software. Moreover, SPMF can be used as a standalone program with a simple user interface or from the command line. The current version is v0.98 and was released the 14th January 2016. This will be added to Data Mining Resources Subject Tracer™.

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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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