by Kuok, Chan Man. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1997. / Includes bibliographical references (leaves 74-77). / Abstract --- p.i / Acknowledgments --- p.iii / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Data Mining --- p.2 / Chapter 1.2 --- Association Rule Mining --- p.3 / Chapter 2 --- Background --- p.6 / Chapter 2.1 --- Framework of Association Rule Mining --- p.6 / Chapter 2.1.1 --- Large Itemsets --- p.6 / Chapter 2.1.2 --- Association Rules --- p.8 / Chapter 2.2 --- Association Rule Algorithms For Binary Attributes --- p.11 / Chapter 2.2.1 --- AIS --- p.12 / Chapter 2.2.2 --- SETM --- p.13 / Chapter 2.2.3 --- "Apriori, AprioriTid and AprioriHybrid" --- p.15 / Chapter 2.2.4 --- PARTITION --- p.18 / Chapter 2.3 --- Association Rule Algorithms For Numeric Attributes --- p.20 / Chapter 2.3.1 --- Quantitative Association Rules --- p.20 / Chapter 2.3.2 --- Optimized Association Rules --- p.23 / Chapter 3 --- Problem Definition --- p.25 / Chapter 3.1 --- Handling Quantitative Attributes --- p.25 / Chapter 3.1.1 --- Discrete intervals --- p.26 / Chapter 3.1.2 --- Overlapped intervals --- p.27 / Chapter 3.1.3 --- Fuzzy sets --- p.28 / Chapter 3.2 --- Fuzzy association rule --- p.31 / Chapter 3.3 --- Significance factor --- p.32 / Chapter 3.4 --- Certainty factor --- p.36 / Chapter 3.4.1 --- Using significance --- p.37 / Chapter 3.4.2 --- Using correlation --- p.38 / Chapter 3.4.3 --- Significance vs. Correlation --- p.42 / Chapter 4 --- Steps For Mining Fuzzy Association Rules --- p.43 / Chapter 4.1 --- Candidate itemsets generation --- p.44 / Chapter 4.1.1 --- Candidate 1-Itemsets --- p.45 / Chapter 4.1.2 --- Candidate k-Itemsets (k > 1) --- p.47 / Chapter 4.2 --- Large itemsets generation --- p.48 / Chapter 4.3 --- Fuzzy association rules generation --- p.49 / Chapter 5 --- Experimental Results --- p.51 / Chapter 5.1 --- Experiment One --- p.51 / Chapter 5.2 --- Experiment Two --- p.53 / Chapter 5.3 --- Experiment Three --- p.54 / Chapter 5.4 --- Experiment Four --- p.56 / Chapter 5.5 --- Experiment Five --- p.58 / Chapter 5.5.1 --- Number of Itemsets --- p.58 / Chapter 5.5.2 --- Number of Rules --- p.60 / Chapter 5.6 --- Experiment Six --- p.61 / Chapter 5.6.1 --- Varying Significance Threshold --- p.62 / Chapter 5.6.2 --- Varying Membership Threshold --- p.62 / Chapter 5.6.3 --- Varying Confidence Threshold --- p.63 / Chapter 6 --- Discussions --- p.65 / Chapter 6.1 --- User guidance --- p.65 / Chapter 6.2 --- Rule understanding --- p.67 / Chapter 6.3 --- Number of rules --- p.68 / Chapter 7 --- Conclusions and Future Works --- p.70 / Bibliography --- p.74
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_322673 |
| Date | January 1997 |
| Contributors | Kuok, Chan Man., Chinese University of Hong Kong Graduate School. Division of Computer Science and Engineering. |
| Source Sets | The Chinese University of Hong Kong |
| Language | English |
| Detected Language | English |
| Type | Text, bibliography |
| Format | print, x, 76 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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