Posts by Category: Data Mining Resources

Updated> Data Mining Resources

May 07, 2014

Updated> Data Mining Resources
http://www.DataMiningResources.info/

I have updated my Data Mining Resources Subject Tracer™ and it is now a 26 page (251KB) .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 May 7, 2014] Additional white papers and resources by Marcus P. Zillman are available by clicking here.

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Updated> Data Mining Resources

February 19, 2014

Updated> Data Mining Resources
http://www.DataMiningResources.info/

I have updated my Data Mining Resources Subject Tracer™ and it is now a 26 page (250KB) .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 February 18, 2014] Additional white papers and resources by Marcus P. Zillman are available by clicking here.

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Awareness Watch Talk Show for Saturday February 1, 2014 at 2:00pm EST

February 01, 2014

Awareness Watch Talk Show for Saturday February 1, 2014 at 2:00pm EST
http://www.BlogTalkRadio.com/AwarenessWatch/

This program will feature my Subject Tracer Data Mining Resources and available directly from the Subject Tracer Gateway at the Virtual Private Library. Data Mining has become a top topic in the last several months with many folks wanting to find out additional information about the subject. This show will highlight many of the latest resources and sites available from the Internet. We will also be reviewing the latest happenings from
my blog during the last week. We will be also discussing my latest freely available Awareness Watch Newsletter V12N2 February 2013 featuring Privacy Resources 2014 and my freely available February 2014 Zillman Column titled Education and Academic Resources 2014. 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 Saturday, February 1, 2014 and then archived for easy review and access. Listen, Call and Enjoy!!

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Rattle – Data Mining Toolkit in R

January 14, 2014

Rattle – Data Mining Toolkit in R
https://code.google.com/p/rattle/

Rattle (the R Analytical Tool To Learn Easily) provides a simple and logical interface for data mining. It is a new data mining application based on the open source and free statistical language R using the Gnome graphical interface. The application runs under GNU/Linux and MS/Windows. The aim is to provide an intuitive interface that takes you through the basic steps of data mining, as well as illustrating the R code that is used to achieve this. Whilst the tool itself may be
sufficient for all of a user’s needs, it also provides a stepping stone to more sophisticated processing and modelling in R itself, for sophisticated and unconstrained data mining. This will be added to Data Mining Resources Subject Tracer™.

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Orange – Open Source Data Visualization and Analysis for Novice and Experts

December 23, 2013

Orange – Open Source Data Visualization and Analysis for Novice and Experts
http://orange.biolab.si/

Open source data visualization and analysis for novice and experts. Data mining through visual programming or Python scripting. Components for machine learning. Add-ons for bioinformatics and text mining. Packed with features for data analytics. This will be added to Statistics Resources and Big Data Subject Tracer™ This will be added to Data Mining Resources Subject Tracer™.

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SCaVis – Scientific Computation and Visualization Environment

December 23, 2013

SCaVis – Scientific Computation and Visualization Environment
http://jwork.org/scavis/

SCaVis is an environment for scientific computation, data analysis and data visualization designed for scientists, engineers and students. The program incorporates many open-source software packages into a coherent interface using the concept of dynamic scripting. SCaVis can be used everywhere where an analysis of large numerical data volumes, data mining, statistical analysis and mathematics are essential (natural sciences, engineering, modeling and analysis of financial markets). SCaVis is fully multiplatform and runs on any platform where Java is installed. As a Java application, SCaVis takes the full advantage of multicore processors. This will be added to Statistics Resources and Big Data Subject Tracer™ This will be added to Data mining Resources Subject Tracer™.

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Updated> Data Mining Resources

November 21, 2013

Updated> Data Mining Resources
http://www.DataMiningResources.info/

I have updated my Data Mining Resources Subject Tracer™ and it is now a 26 page (251KB) .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 November 21 2013] Additional white papers and resources by Marcus P. Zillman are available by clicking here.

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QueryTree – Explore Data Without Code

September 17, 2013

QueryTree – Explore Data Without Code
http://querytreeapp.com/

QueryTree is a drag and drop tool for exploring, analysing and visualizing data. There’s no code or formulas to write and it runs in your browser so there’s no software to install. Even better, QueryTree is free to use. Your data can tell you a lot, from a valuable market insight to the basis for a prize winning news story, but finding that nugget of information beneath all the numbers can sometimes take too much technical expertise. However, with QueryTree’s visual drag and drop approach you just load data in and start sorting, filtering, grouping and joining your data with ease. Try it today and understand your data before your competitors do. This has been added to the tools section of Research Resources Subject Tracer™ Information Blog. This will be added to Data Mining Resources Subject Tracer™. This has been added to Business Intelligence Resources Subject Tracer™ Information Blog. This will be added to Entrepreneurial Resources Subject Tracer™.

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Updated> Data Mining Resources

August 28, 2013

Updated> Data Mining Resources
http://www.DataMiningResources.info/

I have updated my Data Mining Resources Subject Tracer™ and it is now a 26 page (252KB) .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.[Complete update, review and link validation on August 28, 2013] Additional white papers and resources by Marcus P. Zillman are available by clicking here.

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MoData – Big Data Resources

August 24, 2013

MoData – Big Data Resources
http://www.mo-data.com/

Data Projects do not simply start and end, if effective, they will continue for years, growing and changing. MoData regards support and maintenance as a vital part of the service ensuring continuity and reliability in the data supply chain. They understand the Data Product Lifecycle and the thinking as to how to turn data into value. Solutions offered: a) Data Preparation – Identify all sources and determine the reliability of supply and the quality of the data (inconsistencies, gaps, formatting errors). Understand the root causes of poor quality and see how far up the supply a fix can be applied. The fixes may be standard ETL processes, scripts from our extensive library or custom machine learning solutions that will proactively trap and correct issues. In many cases this may also be new business requirements and file specifications being sent to source companies. The idea is to provide a stream of data, at its most granular level that can be stored for further analysis; b) Data Storage – The principle behind storage for Big Data projects is to provide a reliable and consistent source of data while maintain the integrity of the data at its most granular form. Create a virtual store of data, federating all existing stores or migrating some or all into a central storage area. Do only the cleaning necessary to store, sometimes there is valuable insight locked away in the inconsistencies and holes. Create Enrich and Transform processes prior to Extracting data for insight discovery; and c) Insight Provisioning – Once the Data Scientists and Analysts have discovered the Insights and determined how they would be product ionized, then put in place repeatable and scalable processes to extract the data from storage, move it to a production deployment server and setup how that insight can be provisioned, whether in the form of dashboards, reports or real time feeds into applications. Security, permissions and even subscription or usage based billing and payment systems can be implemented. This will be added to Statistics Resources and Big Data Subject Tracer™. This will be added to Data Mining Resources Subject Tracer™.

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