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Topic in Depth - Data Mining (8)

This Topic in Depth explores data mining, also known as knowledge discovery in databases. Data mining is used to extract implicit, previously unknown, but potentially useful information from raw data. It is a blend of three main subjects: statistics, artificial intelligence, and machine learning.

Often, true data mining is characterized by a self-acting program and a unique blend of knowledge discovery and prediction that allows individuals and businesses to sort and classify very large amounts of data quickly and efficiently. Data mining programs can be tailored to meet the needs of the users, whether that need is for the forecasting of future investments, or simply the need to recognize patterns among the data being analyzed.


 
Data Mining Technology
 
This website provides a basic overview of Data Mining and some applications for the process. The site lists some typical tasks addressed by data mining, such as identifying cross-sell opportunities and predicting a peak load of a network. There are also some academic resources on such topics as "Anomaly Localization...

 
Data Mining and Machine Learning
 
Common applications of data mining include fraud detection and marketing, but data mining has also been applied in paleoecology, and medical genetics as described on this website from the University of Helsinki. The project "develops methods and tools for analyzing large data sets and for searching for unexpected...

 
Center for Intelligent Information Retrieval
 
This website from the University of Massachusetts, Amherst describes a project involving the development of new algorithms that will be applied to the creation of two large-scale databases to be used to "enable insight into government efficiency and the flow of scientific ideas."

 
SuperQuery: Data Mining for Everyone
 
This white paper provides a nice educational resource for data mining. It includes a basic overview of data mining, descriptions of what a pattern is (including what an interesting pattern is), the fact discovery engine of SuperQuery (how it avoids uninteresting facts, how it presents found facts), and conclusions.

 
Weka Machine Learning Project
 
If you are inspired to try the process, the Weka Machine Learning Project from Waikato University offers open source software that can be used for data mining tasks. Visitors can also find the projects 1993 to 2006 publications, many of which are available for free in as PDFs. The "related" section offers a number...

 
KDnuggets News: Data Mining and Knowledge Discovery Newsletter
 
KD Nuggets posts articles on Data Mining, Knowledge Discovery, Genomic Mining, Web Mining that range from the serious to the silly, along with other resources. Current and past issues are available to 1993, and the site provides a simple search engine for those looking for specific information as well as the ability...

 
A Brief History of Data Mining
 
For a brief history of data mining and related fields, visit this website. It includes information about the history and development of data mining and the different families of data mining: classical statistics, artificial intelligence, and machine learning. These three families merge to "study data and find...

 
The Data Mine
 
The Data Mine website is an excellent place to venture into detailed and complex explorations on data mining. The site is divided up in to five topic areas, or "webs," which include: "Data Mining Software," "Data Mining Events," "Data Mining General/Misc," "People Working in Data Mining," and "Data Mining Companies...


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