Posts by Category: Data Mining Resources

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.

742 views

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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Updated> Data Mining Resources Dataset Link Compilation

May 01, 2015

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

I have updated my Data Mining Resources Subject Tracer™ Dataset 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.[Updated May 1, 2015] Additional white papers and resources by Marcus P. Zillman are available by clicking here.

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History of Data Mining by Raymond Li

April 29, 2015

History of Data Mining by Raymond Li
http://rayli.net/blog/data/history-of-data-mining/

Data mining is everywhere, but its story starts many years before Moneyball and Edward Snowden. The following by Raymond Li are major milestones and “firsts” in the history of data mining plus how it’s evolved and blended with data science and big data. Data mining is the computational process of exploring and uncovering patterns in large data sets a.k.a. Big Data. It’s a subfield of computer science which blends many techniques from statistics, data science, database theory and machine learning. This has been added to Data mining Resources Subject Tracer™ .

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Awareness Watch Talk Show for Saturday April 25, 2015 at 2:00pm EDT – Data Mining Resources

April 25, 2015

Awareness Watch Talk Show for Saturday April 25, 2015 at 2:00pm EDT – Data Mining Resources
http://www.BlogTalkRadio.com/AwarenessWatch/

This program will be featuring my Subject Tracer™ titled Data Mining Resources. We will be highlighting the latest and greatest resources covering data mining resources including search engines, subject directories, articles, guides and tracers – literally everything needed for DATA MINING !!! We will also discussing my latest freely available Awareness Watch Newsletter V13N4 April 2015 featuring Knowledge Discovery Resources 2015 and my freely available April 2015 Zillman Column highlighting Healthcare Online Resources 2015. 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, April 25, 2015 and then archived for easy review and access. Listen, Call and Enjoy!!

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DeepDive – Analyze Data On a Deeper Level Than Ever Before

February 17, 2015

DeepDive – Analyze Data On a Deeper Level Than Ever Before
http://deepdive.stanford.edu/

DeepDive is a new type of system that enables developers to analyze data on a deeper level than ever before. DeepDive is a trained system: it uses machine learning techniques to leverage on domain-specific knowledge and incorporates user feedback to improve the quality of its analysis. DeepDive differs from traditional systems in several ways: a) DeepDive is aware that data is often noisy and imprecise: names are misspelled, natural language is ambiguous, and humans make mistakes. Taking such imprecisions into account, DeepDive computes calibrated probabilities for every assertion it makes. For example, if DeepDive produces a fact with probability 0.9 it means the fact is 90% likely to be true; b) DeepDive is able to use large amounts of data from a variety of sources. Applications built using DeepDive have extracted data from millions of documents, web pages, PDFs, tables, and figures; c) DeepDive allows developers to use their knowledge of a given domain to improve the quality of the results by writing simple rules that inform the inference (learning) process. DeepDive can also take into account user feedback on the correctness of the predictions, with the goal of improving the predictions; d) DeepDive is able to use the data to learn “distantly”. In contrast, most machine learning systems require tedious training for each prediction. In fact, many DeepDive applications, especially at early stages, need no traditional training data at all; and e) DeepDive’s secret is a scalable, high-performance inference and learning engine. For the past few years, we have been working to make the underlying algorithms run as fast as possible. The techniques pioneered in this project are part of commercial and open source tools including MADlib, Impala, a product from Oracle, and low-level techniques, such as Hogwild!. They have also been included in Microsoft’s Adam. Examples of DeepDive applications include: 1) PaleoDeepDive – A knowledge base for Paleobiologists; 2) GeoDeepDive – Extracting dark data from geology journal articles; and 3) Wisci – Enriching Wikipedia with structured data. DeepDive is project led by Christopher Ré at Stanford University. This will added to the tools section of Research Resources Subject Tracer™ Information Blog. This will be added to Deep Web Research and Discovery Resources 2015. This will be added to Knowledge Discovery Resources Subject Tracer™. This will be added to Data Mining Resources Subject Tracer™.

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