Advanced Data Mining and Applications

Table of Contents

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   Book Overview
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   Chapter 1 Retrieval in CBR Using a Combination of Similarity and Association Knowledge
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   Chapter 2 A Clustering Approach Using Weighted Similarity Majority Margins
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   Chapter 3 A False Negative Maximal Frequent Itemset Mining Algorithm over Stream
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   Chapter 4 A Graph Enrichment Based Clustering over Vertically Partitioned Data
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   Chapter 5 A Method for Finding Groups of Related Herbs in Traditional Chinese Medicine
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   Chapter 6 A New Hybrid Clustering Method for Reducing Very Large Spatio-temporal Dataset
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   Chapter 7 A Normal Distribution-Based Over-Sampling Approach to Imbalanced Data Classification
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   Chapter 8 A Novel Genetic Algorithm for Overlapping Community Detection
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    Chapter 9 A Probabilistic Topic Model with Social Tags for Query Reformulation in Informational Search
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    Chapter 10 A QoS-Aware Web Services Selection Model Using AND/OR Graph
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    Chapter 11 A Tweet-Centric Approach for Topic-Specific Author Ranking in Micro-Blog
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    Chapter 12 An Algorithm for Sample and Data Dimensionality Reduction Using Fast Simulated Annealing
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    Chapter 13 An Investigation of Recursive Auto-associative Memory in Sentiment Detection
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    Chapter 14 APPECT: An Approximate Backbone-Based Clustering Algorithm for Tags
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    Chapter 15 Bi-clustering Gene Expression Data Using Co-similarity
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    Chapter 16 CCE: A Chinese Concept Encyclopedia Incorporating the Expert-Edited Chinese Concept Dictionary with Online Cyclopedias
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    Chapter 17 Cluster Ensembles via Weighted Graph Regularized Nonnegative Matrix Factorization
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    Chapter 18 Continuously Identifying Representatives Out of Massive Streams
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    Chapter 19 Cost-Sensitive Decision Tree for Uncertain Data
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    Chapter 20 Direct Marketing with Fewer Mistakes
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    Chapter 21 Discovering Collective Viewpoints on Micro-blogging Events Based on Community and Temporal Aspects
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    Chapter 22 Discriminatory Confidence Analysis in Pattern Mining
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    Chapter 23 Dominance-Based Soft Set Approach in Decision-Making Analysis
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    Chapter 24 Efficient Computation of Measurements of Correlated Patterns in Uncertain Data
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    Chapter 25 Efficient Subject-Oriented Evaluating and Mining Methods for Data with Schema Uncertainty
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    Chapter 26 An Empirical Evaluation of Bagging with Different Algorithms on Imbalanced Data
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    Chapter 27 Exploiting Concept Clumping for Efficient Incremental News Article Categorization
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    Chapter 28 Extracting Rocks from Mars Images with Data Fields
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    Chapter 29 Finding a Wise Group of Experts in Social Networks
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    Chapter 30 Fully Utilize Feedbacks: Language Model Based Relevance Feedback in Information Retrieval
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    Chapter 31 FXProj – A Fuzzy XML Documents Projected Clustering Based on Structure and Content