Practical algorithms for pattern based linear regression

Hideo Bannai, Kohei Hatano, Shunsuke Inenaga, Masayuki Takeda

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

1 Citation (Scopus)


We consider the problem of discovering the optimal pattern from a set of strings and associated numeric attribute values. The goodness of a pattern is measured by the correlation between the number of occurrences of the pattern in each string, and the numeric attribute value assigned to the string. We present two algorithms based on suffix trees, that can find the optimal substring pattern in O(Nn) and O(N 2) time, respectively, where n is the number of strings and N is their total length. We further present a general branch and bound strategy that can be used when considering more complex pattern classes. We also show that combining the O(N 2) algorithm and the branch and bound heuristic increases the efficiency of the algorithm considerably.

Original languageEnglish
Title of host publicationDiscovery Science - 8th International Conference, DS 2005, Proceedings
Number of pages13
Publication statusPublished - 2005
Event8th International Conference on Discovery Science, DS 2005 - , Singapore
Duration: Oct 8 2005Oct 11 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3735 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other8th International Conference on Discovery Science, DS 2005

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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