Kam, Po-shan. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references (leaves 89-97). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgements --- p.ii / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Data Mining --- p.1 / Chapter 1.2 --- Temporal Data Management --- p.2 / Chapter 1.3 --- Temporal reasoning and temporal semantics --- p.3 / Chapter 1.4 --- Temporal Data Mining --- p.5 / Chapter 1.5 --- Motivation --- p.6 / Chapter 1.6 --- Approach --- p.7 / Chapter 1.6.1 --- Focus and Objectives --- p.8 / Chapter 1.6.2 --- Experimental Setup --- p.8 / Chapter 1.7 --- Outline and contributions --- p.9 / Chapter 2 --- Relevant Work --- p.10 / Chapter 2.1 --- Data Mining --- p.10 / Chapter 2.1.1 --- Association Rules --- p.13 / Chapter 2.1.2 --- Classification --- p.15 / Chapter 2.1.3 --- Clustering --- p.16 / Chapter 2.2 --- Sequential Pattern --- p.17 / Chapter 2.2.1 --- Frequent Patterns --- p.18 / Chapter 2.2.2 --- Interesting Patterns --- p.20 / Chapter 2.2.3 --- Granularity --- p.21 / Chapter 2.3 --- Temporal Database --- p.21 / Chapter 2.4 --- Temporal Reasoning --- p.23 / Chapter 2.4.1 --- Natural Language Expression --- p.24 / Chapter 2.4.2 --- Temporal Logic Approach --- p.25 / Chapter 2.5 --- Temporal Data Mining --- p.25 / Chapter 2.5.1 --- Framework --- p.25 / Chapter 2.5.2 --- Temporal Association Rules --- p.26 / Chapter 2.5.3 --- Attribute-Oriented Induction --- p.27 / Chapter 2.5.4 --- Time Series Analysis --- p.27 / Chapter 3 --- Discovering Temporal Patterns for interval-based events --- p.29 / Chapter 3.1 --- Temporal Database --- p.29 / Chapter 3.2 --- Allen's Taxonomy of Temporal Relationships --- p.31 / Chapter 3.3 --- "Mining Temporal Pattern, AppSeq and LinkSeq" --- p.33 / Chapter 3.3.1 --- A1 and A2 temporal pattern --- p.33 / Chapter 3.3.2 --- "Second Temporal Pattern, LinkSeq" --- p.34 / Chapter 3.4 --- Overview of the Framework --- p.35 / Chapter 3.4.1 --- "Mining Temporal Pattern I, AppSeq" --- p.36 / Chapter 3.4.2 --- "Mining Temporal Pattern II, LinkSeq" --- p.36 / Chapter 3.5 --- Summary --- p.37 / Chapter 4 --- "Mining Temporal Pattern I, AppSeq" --- p.38 / Chapter 4.1 --- Problem Statement --- p.38 / Chapter 4.2 --- Mining A1 Temporal Patterns --- p.40 / Chapter 4.2.1 --- Candidate Generation --- p.43 / Chapter 4.2.2 --- Large k-Items Generation --- p.46 / Chapter 4.3 --- Mining A2 Temporal Patterns --- p.48 / Chapter 4.3.1 --- Candidate Generation: --- p.49 / Chapter 4.3.2 --- Generating Large 2k-Items: --- p.51 / Chapter 4.4 --- Modified AppOne and AppTwo --- p.51 / Chapter 4.5 --- Performance Study --- p.53 / Chapter 4.5.1 --- Experimental Setup --- p.53 / Chapter 4.5.2 --- Experimental Results --- p.54 / Chapter 4.5.3 --- Medical Data --- p.58 / Chapter 4.6 --- Summary --- p.60 / Chapter 5 --- "Mining Temporal Pattern II, LinkSeq" --- p.62 / Chapter 5.1 --- Problem Statement --- p.62 / Chapter 5.2 --- "First Method for Mining LinkSeq, LinkApp" --- p.63 / Chapter 5.3 --- "Second Method for Mining LinkSeq, LinkTwo" --- p.64 / Chapter 5.4 --- "Alternative Method for Mining LinkSeq, LinkTree" --- p.65 / Chapter 5.4.1 --- Sequence Tree: Design --- p.65 / Chapter 5.4.2 --- Construction of seq-tree --- p.69 / Chapter 5.4.3 --- Mining LinkSeq using seq-tree --- p.76 / Chapter 5.5 --- Performance Study --- p.82 / Chapter 5.6 --- Discussions --- p.85 / Chapter 5.7 --- Summary --- p.85 / Chapter 6 --- Conclusion and Future Work --- p.87 / Chapter 6.1 --- Conclusion --- p.87 / Chapter 6.2 --- Future Work --- p.88 / Bibliography --- p.97
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_323084 |
| Date | January 2000 |
| Contributors | Kam, Po-shan., Chinese University of Hong Kong Graduate School. Division of Computer Science and Engineering. |
| Source Sets | The Chinese University of Hong Kong |
| Language | English, Chinese |
| Detected Language | English |
| Type | Text, bibliography |
| Format | print, viii, 97 leaves : ill. ; 30 cm. |
| Rights | Use 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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