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silicon.com > White Papers > Software and Web Development > Software Development Tools
Data mining, or Knowledge Discovery in Databases (KDD), is an interdisciplinary area that integrates techniques from sev Read more
Sep 19, 2008
silicon.com > White Papers > Software and Web Development > Software Development Tools
Data mining algorithms look for patterns in data. While most existing data mining approaches look for patterns in a sing Read more
Sep 19, 2008
silicon.com > White Papers > Software and Web Development > Software Development Tools
This paper reviews three recent books on data mining written from three different perspectives, i.e. databases, machine Read more
Sep 19, 2008
silicon.com > White Papers > Data Management > Data Tools
Patients with chronic illness often have many medications available for treatment. Medications are changed, and added wh Read more
Sep 19, 2008
silicon.com > White Papers > Data Management > Data Tools
Effective website personalization is at the heart of many e-commerce applications. To ensure that customers visiting the Read more
Oct 1, 2008
silicon.com > White Papers > Software and Web Development > Software Development Tools
This paper discusses issues related to data mining from a noisy database such as what might be generated by a machine le Read more
Oct 1, 2008
silicon.com > White Papers > Data Management > Data Infrastructure
Data mining slowly evolves from simple discovery of frequent patterns and regularities in large data sets toward interac Read more
Oct 1, 2008
silicon.com > White Papers > Data Management > Data Tools
Data Mining (DM) is a very crucial issue in knowledge discovery processes. The basic facilities to create data mining mo Read more
Oct 1, 2008
silicon.com > White Papers > Networking and Communications > Mobile and Wireless
The concept of this paper focuses on merging two technical Information Systems (IS) fields: data mining and Geographic I Read more
Oct 1, 2008
silicon.com > White Papers > Data Management > Data Tools
An important aspect of data mining algorithms and systems is that they should scale well to large databases. A consequen Read more
Oct 1, 2008