2008 SuccinctSummarizationofTransact

From GM-RKB
Jump to navigation Jump to search

Subject Headings:

Notes

Cited By

Quotes

Author Keywords

Abstract

Transactional data are ubiquitous. Several methods, including frequent itemsets mining and co-clustering, have been proposed to analyze transactional databases. In this work, we propose a new research problem to succinctly summarize transactional databases. Solving this problem requires linking the high level structure of the database to a potentially huge number of frequent itemsets. We formulate this problem as a set covering problem using overlapped hyperrectangles; we then prove that this problem and its several variations are NP-hard. We develop an approximation algorithm HYPER which can achieve a ln(k) + 1 approximation ratio in polynomial time. We propose a pruning strategy that can significantly speed up the processing of our algorithm. Additionally, we propose an efficient algorithm to further summarize the set of hyperrectangles by allowing false positive conditions. A detailed study using both real and synthetic datasets shows the effectiveness and efficiency of our approaches in summarizing transactional databases.

References

,

 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2008 SuccinctSummarizationofTransactRuoming Jin
Yang Xiang
David Fuhry
Feodor F. Dragan
Succinct Summarization of Transactional Databases: An Overlapped Hyperrectangle SchemeKDD-2008 Proceedings10.1145/1401890.14019812008