Efficient search of reliable exceptions

Huan Liu, Hongjun Lu, Ling Feng, Farhad Hussain

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

39 Citations (Scopus)

Abstract

Finding patterns from data sets is a fundamental task of data mining. If we categorize all patterns into strong, weak, and random, conventional data mining techniques are designed only to find strong patterns, which hold for numerous objects and are usually consistent with the expectations of experts. While such strong patterns are helpful in prediction, the unexpectedness and contradiction exhibited by weak patterns are also very useful although they represent a relatively small number of objects. In this paper, we address the problem of finding weak patterns (i.e., reliable exceptions) from databases. A simple and efficient approach is proposed which uses deviation analysis to identify interesting exceptions and explore reliable ones. Besides, it is flexible in handling both subjective and objective exceptions. We demonstrate the effectiveness of the proposed approach through a set of real-life data sets, and present interesting findings.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages194-204
Number of pages11
Volume1574
ISBN (Print)3540658661, 9783540658665
StatePublished - 1999
Externally publishedYes
Event3rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 1999 - Beijing, China
Duration: Apr 26 1999Apr 28 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1574
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other3rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 1999
CountryChina
CityBeijing
Period4/26/994/28/99

Fingerprint

Exception
Data mining
Data Mining
Deviation
Prediction
Demonstrate
Object

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Liu, H., Lu, H., Feng, L., & Hussain, F. (1999). Efficient search of reliable exceptions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1574, pp. 194-204). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1574). Springer Verlag.

Efficient search of reliable exceptions. / Liu, Huan; Lu, Hongjun; Feng, Ling; Hussain, Farhad.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1574 Springer Verlag, 1999. p. 194-204 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1574).

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

Liu, H, Lu, H, Feng, L & Hussain, F 1999, Efficient search of reliable exceptions. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 1574, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1574, Springer Verlag, pp. 194-204, 3rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 1999, Beijing, China, 4/26/99.
Liu H, Lu H, Feng L, Hussain F. Efficient search of reliable exceptions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1574. Springer Verlag. 1999. p. 194-204. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Liu, Huan ; Lu, Hongjun ; Feng, Ling ; Hussain, Farhad. / Efficient search of reliable exceptions. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1574 Springer Verlag, 1999. pp. 194-204 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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