Data Mining Tools: Association Rules

Data Mining Tools: Association Rules

Sanjiv K. Bhatia (University of Missouri, USA) and Jitender S. Deogun (University of Nebraska, USA)
Copyright: © 2014 |Pages: 9
DOI: 10.4018/978-1-4666-5202-6.ch059

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Main Focus Of The Chapter

This chapter will focus on different data mining tools, such as knowledge discovery in databases, association rules, and probability logic.

Key Terms in this Chapter

Clustering: Organization of data in some semantically meaningful way such that each cluster contains related data while the unrelated data are assigned to different clusters. The clusters may not be predefined.

DCM: Domain Concept Mining.

Dimensionality Reduction: Consolidating the range of a set of attributes for efficient analysis.

Decision Tree: A tool to help make decisions based on a set of rules that help to navigate the tree along its branches.

Regression: Process to statistically estimate the relationship between different attributes.

DCAR: Domain Concept Association Rules.

Induction-Based Learning: Learning by observation of different objects or data; building general concepts by observing a set of instances.

Classification: Assignment of data into one or more predefined classes.

Similarity Measure: A tool to quantify the similarity between different objects.

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