Novel applications of Association Rule Mining- Data Stream Mining

Date
2009
Authors
Vithal Kadam, Omkar
Supervisor
Pears, Russel
Item type
Thesis
Degree name
Master of Computer and Information Sciences
Journal Title
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Publisher
Auckland University of Technology
Abstract

From the advent of association rule mining, it has become one of the most researched areas of data exploration schemes. In recent years, implementing association rule mining methods in extracting rules from a continuous flow of voluminous data, known as Data Stream has generated immense interest due to its emerging applications such as network-traffic analysis, sensor-network data analysis. For such typical kinds of application domains, the facility to process such enormous amount of stream data in a single pass is critical.

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Keywords
Data stream mining , Association rule mining
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