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Fast frequent pattern mining.

Yabo Xu. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (leaves 57-60). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.iii / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Frequent Pattern Mining --- p.1 / Chapter 1.2 --- Biosequence Pattern Mining --- p.2 / Chapter 1.3 --- Organization of the Thesis --- p.4 / Chapter 2 --- PP-Mine: Fast Mining Frequent Patterns In-Memory --- p.5 / Chapter 2.1 --- Background --- p.5 / Chapter 2.2 --- The Overview --- p.6 / Chapter 2.3 --- PP-tree Representations and Its Construction --- p.7 / Chapter 2.4 --- PP-Mine --- p.8 / Chapter 2.5 --- Discussions --- p.14 / Chapter 2.6 --- Performance Study --- p.15 / Chapter 3 --- Fast Biosequence Patterns Mining --- p.20 / Chapter 3.1 --- Background --- p.21 / Chapter 3.1.1 --- Differences in Biosequences --- p.21 / Chapter 3.1.2 --- Mining Sequential Patterns --- p.22 / Chapter 3.1.3 --- Mining Long Patterns --- p.23 / Chapter 3.1.4 --- Related Works in Bioinformatics --- p.23 / Chapter 3.2 --- The Overview --- p.24 / Chapter 3.2.1 --- The Problem --- p.24 / Chapter 3.2.2 --- The Overview of Our Approach --- p.25 / Chapter 3.3 --- The Segment Phase --- p.26 / Chapter 3.3.1 --- Finding Frequent Segments --- p.26 / Chapter 3.3.2 --- The Index-based Querying --- p.27 / Chapter 3.3.3 --- The Compression-based Querying --- p.30 / Chapter 3.4 --- The Pattern Phase --- p.32 / Chapter 3.4.1 --- The Pruning Strategies --- p.34 / Chapter 3.4.2 --- The Querying Strategies --- p.37 / Chapter 3.5 --- Experiment --- p.40 / Chapter 3.5.1 --- Synthetic Data Sets --- p.40 / Chapter 3.5.2 --- Biological Data Sets --- p.46 / Chapter 4 --- Conclusion --- p.55 / Bibliography --- p.60

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_324283
Date January 2003
ContributorsXu, Yabo., Chinese University of Hong Kong Graduate School. Division of Systems Engineering and Engineering Management.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, vii, 60 leaves : ill. ; 30 cm.
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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