eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Data mining is the umbrella term for the process of ...

Incomplete data affects classification accuracy and hinders effective data mining. The following techniques are effective for working with incomplete data. The ISOM-DH model handles incomplete data ...

Alexandra Twin has 15+ years of experience as an editor and writer, covering financial news for public and private companies. Natalya Yashina is a CPA, DASM with over 12 years of experience in ...

This course Introduces basic data mining concepts and techniques for discovering interesting patterns hidden in large-scale data sets, focusing on issues relating to effectiveness and efficiency.

The updated 5th edition of the book Data Mining for Business Analytics from Galit Shmueli and collaborators and published by Wiley is a standard guide to data mining and analytics that adds two new co ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

SACRAMENTO, Calif. — Is your government agency struggling to get a handle on datamining? If so, representatives from IBM and Splunk have a few tips to help make better sense of unstructured data and ...

A “Data Mining Research Problem Book” marked “top secret strap 1” has been leaked that details some of the key techniques used by GCHQ to sift through the huge volumes of data it pulls continuously ...

It is expected that students seeking enrollment in this program will have sufficient foundational skills and aptitude in computer programming, statistical analysis, information systems, and databases.