Business Intelligence

HE-Tree: A Framework for Detecting Changes in Clustering Structure for Categorical Data Streams

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Executive Summary

Analyzing clustering structures in data streams can provide critical information for real-time decision making. Most research in this area has focused on clustering algorithms for numerical data streams, and very few have proposed to monitor the change of clustering structure. Most surprisingly, to the knowledge, no work has been proposed on monitoring clustering structure for categorical data streams. This paper presents a framework for detecting the change of primary clustering structure in categorical data streams, which is indicated by the change of the best number of clusters (Best K) in the data stream.

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