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基于不同数据型态、约束和应用的高效用项集挖掘

摘要第5-7页
ABSTRACT第7-8页
ACKNOWLEDGEMENTS第9-14页
NOMENCLATURE第14-18页
1. Introduction第18-29页
    1.1 Background第18-21页
        1.1.1 Data Mining第18-19页
        1.1.2 High-Utility Itemset Mining第19-21页
    1.2 Motivation and Significance第21-23页
    1.3 Research Issues第23-26页
        1.3.1 Mining HUIs from Uncertain Databases第23-24页
        1.3.2 Mining HUIs under Various Constraints第24-25页
        1.3.3 Mining HUIs in Dynamic Database Application第25-26页
    1.4 Main Contributions第26-27页
    1.5 Organization第27-29页
2. Related Works第29-35页
    2.1 Frequent Itemset Mining Framework第29-30页
    2.2 High-Utility Itemset Mining Framework第30-34页
        2.2.1 Mining HUIs from Precise Databases第30-31页
        2.2.2 Mining HUIs under Various Constraints第31-32页
        2.2.3 Mining HUIs in Dynamic Databases Application第32-33页
        2.2.4 Summary of HUIM第33-34页
    2.3 Chapter Summary第34-35页
3. Proposed Algorithms for Mining HUIs from Uncertain Databases第35-62页
    3.1 Preliminaries and Problem Statement第35-41页
        3.1.1 Uncertain Database Model and Probability Measure第35-36页
        3.1.2 Preliminaries and Problem Statement第36-41页
    3.2 Proposed PHUI-UP Algorithm第41-44页
        3.2.1 Downward Closure Property第41-43页
        3.2.2 Proposed PHUI-UP Algorithm第43-44页
    3.3 Proposed PHUI-List Algorithm第44-52页
        3.3.1 Probability-Utility-list Structure第44-46页
        3.3.2 The Search Space第46-48页
        3.3.3 Early Pruning Strategies第48-50页
        3.3.4 Proposed PHUI-List Algorithm第50-52页
    3.4 Experimental Evaluation第52-61页
        3.4.1 Experimental Setup and Datasets Description第52-54页
        3.4.2 Runtime第54-56页
        3.4.3 Patterns Analysis第56-58页
        3.4.4 Memory Consumption第58-61页
    3.5 Chapter Summary第61-62页
4. Proposed Algorithms for Mining HUIs Under Various Constraints第62-87页
    4.1 Introduction第62-64页
        4.1.1 Constraint-based Pattern Mining第62-64页
        4.1.2 Research Contributions第64页
    4.2 Proposed Algorithms for HUIM with Multiple Minimum UtilityThresholds第64-76页
        4.2.1 Preliminaries and Problem Statement第64-68页
        4.2.2 Proposed Sorted Downward Closure Property第68-71页
        4.2.3 Proposed HUI-MMU Algorithm第71-72页
        4.2.4 Improved TID-index and EUCP Strategies第72-76页
    4.3 Experimental Evaluation第76-86页
        4.3.1 Experimental Setup and Datasets Description第76-77页
        4.3.2 Runtime第77-80页
        4.3.3 Pattern Analysis第80-82页
        4.3.4 Effect of Pruning Strategies第82-84页
        4.3.5 Memory Consumption第84-85页
        4.3.6 Scalability第85-86页
    4.4 Chapter Summary第86-87页
5. Proposed Algorithms for Mining HUIs in Dynamic Databases第87-125页
    5.1 Proposed Algorithm for HUIM with Record Insertion第87-99页
        5.1.1 Preliminaries and Problem Statement第87-88页
        5.1.2 Proposed HUI-list-INS Algorithm第88-92页
        5.1.3 Experimental Evaluation第92-99页
    5.2 Proposed Algorithm for HUIM with Record Deletion第99-110页
        5.2.1 Preliminaries and Problem Statement第99-100页
        5.2.2 Proposed HUI-list-DEL Algorithm第100-103页
        5.2.3 Experimental Evaluation第103-110页
    5.3 Proposed Algorithm for HUIM with Record Modification第110-124页
        5.3.1 Preliminaries and Problem Statement第110-113页
        5.3.2 Proposed PRE-HUI-MOD Algorithm第113-118页
        5.3.3 Experimental Evaluation第118-124页
    5.4 Chapter Summary第124-125页
6. Conclusions and Future Work第125-127页
    6.1 Conclusions第125-126页
    6.2 Future Work第126-127页
REFERENCES第127-131页
APPENDICES第131-132页

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