Searching correlated objects in a long sequence

Ken C.K. Lee, Wang Chien Lee, Donna Peuquet, Baihua Zheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Sequence, widely appearing in various applications (e.g. event logs, text documents, etc) is an ordered list of objects. Exploring correlated objects in a sequence can provide useful knowledge among the objects, e.g., event causality in event log and word phrases in documents. In this paper, we introduce correlation query that finds correlated pairs of objects often appearing closely to each other in a given sequence. A correlation query is specified by two control parameters, distance bound, the requirement of object closeness, and correlation threshold, the minimum requirement of correlation strength of result pairs. Instead of processing the query by scanning the sequence multiple times, that is called Multi-Scan Algorithm (MSA), we propose One-Scan Algorithm (OSA) and Index-Based Algorithm (IBA). OSA accesses a queried sequence once and IBA considers correlation threshold in the execution and effectively eliminates unneeded candidates from detail examination. An extensive set of experiments is conducted to evaluate all these algorithms. Among them, IBA, significantly outperforming the others, is the most efficient.

Original languageEnglish (US)
Title of host publicationScientific and Statistical Database Management - 20th International Conference, SSDBM 2008, Proceedings
Pages436-454
Number of pages19
DOIs
StatePublished - 2008
Event20th International Conference on Scientific and Statistical Database Management, SSDBM 2008 - Hong Kong, China
Duration: Jul 9 2008Jul 11 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5069 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other20th International Conference on Scientific and Statistical Database Management, SSDBM 2008
CountryChina
CityHong Kong
Period7/9/087/11/08

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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