Data Mining Software

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Author(s): John Wang (Montclair State University, USA), Qiyang Chen (Montclair State University, USA)and James Yao (Montclair State University, USA)
Copyright: 2008
Pages: 6
Source title: Encyclopedia of Information Technology Curriculum Integration
Source Author(s)/Editor(s): Lawrence A. Tomei (Robert Morris University, USA)
DOI: 10.4018/978-1-59904-881-9.ch028

Keywords: Education / Educational Technologies / Information Science Reference / Instructional Design

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Abstract

Many organizations now view information as one of their most valuable assets, and data mining software allows a company to make full use of these information assets. Data mining software analyzes relationships and patterns in stored transaction data based on open-ended user queries. Several types of analytical software are available: statistical, machine learning and neural networks, decision trees, naive-Bayes, K-nearest neighbor, rule induction, clustering, rules based, linear and logistical regression time sequence, and so forth (Wang, 2005). There is never enough time to think of all the important questions; that is why the computer should do this itself. It can provide the winning edge in business by exploring the database and it brings back invaluable information.

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