Can I read Mining Concise Representations of Frequent Patterns Through Conjunctive and Disjunctive Search Spaces on EtoBox?

Mining Concise Representations of Frequent Patterns Through Conjunctive and Disjunctive Search Spaces by Tarek Hamrouni is a Computer Science article available to read on EtoBox.

What is Mining Concise Representations of Frequent Patterns Through Conjunctive and Disjunctive Search Spaces about?

The last years witnessed an explosive progress in networking, storage, and processing technologies resulting in an unprecedented amount of digitalization of data. There is hence a considerable need for tools or techniques to delve and efficiently discover valuable, non-obvious information from large databases. In this situation, Knowledge Discovery in Databases offers a complete process for the non-trivial extraction of implicit, previously unknown, and potentially useful knowledge from data. Amongst its steps, data mining offers tools and techniques for such an extraction. Much research in data mining from large databases has focused on the discovery of association rules which are used to identify relationships between sets of items in a database. The discovered association rules can be used in various tasks, such as depicting purchase dependencies, classification, medical data analysis, etc. In practice however, the number of frequently occurring itemsets, used as a basis for rule derivation, is very large, hampering their effective exploitation by the end-users. In this situation, a determined effort focused on defining manageably-sized sets of patterns, called concise represent

Who reads Mining Concise Representations of Frequent Patterns Through Conjunctive and Disjunctive Search Spaces?

Author

Tarek Hamrouni

Publisher

ACM

Published

2009

Language

EN

Field

Computer Science (Physical Sciences)