Law Yee-shan, Carol. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2001. / Includes bibliographical references (leaves 81-89). / Abstracts in English and Chinese. / Chapter CHAPTER ONE --- INTRODUCTION --- p.1 / Chapter 1.1 --- Research Contributions --- p.5 / Chapter 1.2 --- Organization of the thesis --- p.5 / Chapter CHAPTER TWO --- LITERATURE REVIEW --- p.7 / Chapter 2.1 --- Temporal data Association --- p.7 / Chapter 2.1.1 --- Association Rule Mining --- p.8 / Chapter 2.1.2 --- Sequential Patterns Mining --- p.10 / Chapter 2.2 --- Information Retrieval Techniques --- p.11 / Chapter 2.2.1 --- Vector Space model --- p.12 / Chapter 2.2.2 --- Probabilistic model --- p.75 / Chapter CHAPTER THREE --- AN OVERVIEW OF THE PROPOSED APPROACH --- p.16 / Chapter 3.1 --- The Test Bed --- p.19 / Chapter 3.2 --- General Concept Term Identification........................................……… --- p.19 / Chapter 3.3 --- Anchor Document Selection --- p.21 / Chapter 3.4 --- Specific Concept Term Identification --- p.22 / Chapter 3.5 --- Establishment of Associations --- p.22 / Chapter CHAPTER FOUR --- GENERAL CONCEPT TERM IDENTIFICATION --- p.24 / Chapter 4.1 --- Document Pre-processing --- p.25 / Chapter 4.2 --- Stopwording and stemming --- p.29 / Chapter 4.3 --- Word-phrase formation --- p.29 / Chapter 4.4 --- Automatic Indexing of Words and Sentences --- p.30 / Chapter 4.5 --- Relevance Weighting --- p.31 / Chapter 4.5.1 --- Term Frequency and Document Frequency Computation --- p.31 / Chapter 4.5.2 --- Uncommon Data Removal --- p.32 / Chapter 4.5.3 --- Combined Weight Computation --- p.32 / Chapter 4.5.4 --- Cluster Analysis --- p.33 / Chapter 4.6 --- Hopfield Network Classification --- p.35 / Chapter CHAPTER FIVE --- ANCHOR DOCUMENT SELECTION --- p.37 / Chapter 5.1 --- What is an anchor document? --- p.37 / Chapter 5.2 --- Selection Criteria of an anchor document --- p.40 / Chapter CHAPTER SIX --- DISCOVERY OF NEWS ASSOCIATION --- p.44 / Chapter 6.1 --- Specific Concept Term Identification --- p.44 / Chapter 6.2 --- Establishment of Associations --- p.45 / Chapter 6.2.1 --- Anchor document representation --- p.46 / Chapter 6.2.2 --- Similarity measurement --- p.47 / Chapter 6.2.3 --- Formation of a link of news --- p.48 / Chapter CHAPTER SEVEN --- EXPERIMENTAL RESULTS AND ANALYSIS --- p.54 / Chapter 7.1 --- Objective of Experiments --- p.54 / Chapter 7.2 --- Background of Subjects --- p.55 / Chapter 7.3 --- Design of Experiments --- p.55 / Chapter 7.3.1 --- Experimental Data --- p.55 / Chapter 7.3.2 --- Methodology --- p.55 / Anchor document selection --- p.57 / Specific concept term identification --- p.55 / News association --- p.59 / Chapter 7.4 --- Results and Analysis --- p.60 / Anchor document selection --- p.60 / Specific concept term identification --- p.64 / News association --- p.68 / Chapter CHAPTER EIGHT --- CONCLUSIONS AND FUTURE WORK --- p.72 / Chapter 8.1 --- Conclusions --- p.72 / Chapter 8.2 --- Future work --- p.74 / APPENDIX A --- p.76 / APPENDIX B --- p.78 / BIBLIOGRAPHY --- p.81
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_323397 |
| Date | January 2001 |
| Contributors | Law, Yee-shan., Chinese University of Hong Kong Graduate School. Division of Systems Engineering and Engineering Management. |
| Source Sets | The Chinese University of Hong Kong |
| Language | English, Chinese |
| Detected Language | English |
| Type | Text, bibliography |
| Format | print, xii, 89 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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