A variety of software products and services are being introduced to analyze complex biological and chemical data in an intuitive and efficient manner. Data mining has been defined as “the nontrivial ...

Data mining has evolved from the esoteric domain of the mathematician to the expert statistician’s programming and workbench tools and, at last, to the realm of widely accessible business applications ...

(Multichannel Merchant) Data mining is enhanced, often dramatically, when the source data are improved. The ultimate goal is for data mining to be performed off a platform that we at Wheaton Group ...

Get an insider's view of how data mining helps higher education by saving resources while maximizing efficiency and improving outcomes. Three examples are included. Free registration required to view ...

Aim of the Conference This conference is the thirteen conference in a series of industrial conferences on Data Mining that will be held on yearly basis. Experts from different fields will present ...

As a matter of practice, law firms generate and store incomprehensible amounts of data. Most, if not all, of that data has been digitized and many firms that recognize the untapped value of their data ...

"Automated identification of terrorists through data mining (or any other known methodology) is neither feasible as an objective nor desirable as a goal of technology ...

Data mining has been defined as “the nontrivial extraction of implicit, previously unknown, and potentially useful information from data”. 1 In areas other than the life sciences and healthcare, data ...

This article is published by AllBusiness.com, a partner of TIME. What is "Data Mining?" Data mining is the process of extracting useful patterns, correlations and insights from large datasets using ...