BOOK-CHAPTER

Distributed Association Rule Mining

Abstract

Data mining is an iterative and interactive process that explores and analyzes voluminous digital data to discover valid, novel, and meaningful patterns (Mohammed, 1999). Since digital data may have terabytes of records, data mining techniques aim to find patterns using computationally efficient techniques. It is related to a subarea of statistics called exploratory data analysis. During the past decade, data mining techniques have been used in various business, government, and scientific applications.

Keywords:
Terabyte Association rule learning Computer science Data mining Data science Process (computing)

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Topics

Data Mining Algorithms and Applications
Physical Sciences →  Computer Science →  Information Systems
Rough Sets and Fuzzy Logic
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Imbalanced Data Classification Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence

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