Association Rule Mining on Progressive and High Dimensional Data

Association Rule Mining plays a vital role in many significant data mining tasks such as Frequent pattern mining associations sequential patterns closed and colossal patterns etc. The exponential increase in the availability of progressive and high dimensional datasets such as microarray and gene expression data with varying features enables to study of the performance of association rule mining techniques for efficient rule discovery. This book emphasizes the assessment of the performance of discovering association rules with Doubleton Pattern Mining (DPM) methods for mining various types of frequent patterns from high dimensional progressive data sets.