Advanced Data Mining and Applications

Table of Contents

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   Book Overview
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   Chapter 1 Mining Ambiguous Data with Multi-instance Multi-label Representation
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   Chapter 2 DELAY : A Lazy Approach for Mining Frequent Patterns over High Speed Data Streams
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   Chapter 3 Exploring Content and Linkage Structures for Searching Relevant Web Pages
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   Chapter 4 CLBCRA-Approach for Combination of Content-Based and Link-Based Ranking in Web Search
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   Chapter 5 Rough Sets in Hybrid Soft Computing Systems
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   Chapter 6 Discovering Novel Multistage Attack Strategies
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   Chapter 7 Privacy Preserving DBSCAN Algorithm for Clustering
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   Chapter 8 A New Multi-level Algorithm Based on Particle Swarm Optimization for Bisecting Graph
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    Chapter 9 A Supervised Subspace Learning Algorithm: Supervised Neighborhood Preserving Embedding
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    Chapter 10 A k -Anonymity Clustering Method for Effective Data Privacy Preservation
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    Chapter 11 LSSVM with Fuzzy Pre-processing Model Based Aero Engine Data Mining Technology
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    Chapter 12 A Coding Hierarchy Computing Based Clustering Algorithm
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    Chapter 13 Mining Both Positive and Negative Association Rules from Frequent and Infrequent Itemsets
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    Chapter 14 Survey of Improving Naive Bayes for Classification
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    Chapter 15 Privacy Preserving BIRCH Algorithm for Clustering over Arbitrarily Partitioned Databases
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    Chapter 16 Unsupervised Outlier Detection in Sensor Networks Using Aggregation Tree
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    Chapter 17 Separator: Sifting Hierarchical Heavy Hitters Accurately from Data Streams
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    Chapter 18 Spatial Fuzzy Clustering Using Varying Coefficients
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    Chapter 19 Collaborative Target Classification for Image Recognition in Wireless Sensor Networks
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    Chapter 20 Dimensionality Reduction for Mass Spectrometry Data
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    Chapter 21 The Study of Dynamic Aggregation of Relational Attributes on Relational Data Mining
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    Chapter 22 Learning Optimal Kernel from Distance Metric in Twin Kernel Embedding for Dimensionality Reduction and Visualization of Fingerprints
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    Chapter 23 Efficiently Monitoring Nearest Neighbors to a Moving Object
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    Chapter 24 A Novel Text Classification Approach Based on Enhanced Association Rule
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    Chapter 25 Applications of the Moving Average of n th -Order Difference Algorithm for Time Series Prediction
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    Chapter 26 Inference of Gene Regulatory Network by Bayesian Network Using Metropolis-Hastings Algorithm
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    Chapter 27 A Consensus Recommender for Web Users
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    Chapter 28 Constructing Classification Rules Based on SVR and Its Derivative Characteristics
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    Chapter 29 Hiding Sensitive Associative Classification Rule by Data Reduction
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    Chapter 30 AOG-ags Algorithms and Applications
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    Chapter 31 A Framework for Titled Document Categorization with Modified Multinomial Naivebayes Classifier
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    Chapter 32 Prediction of Protein Subcellular Locations by Combining K-Local Hyperplane Distance Nearest Neighbor
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    Chapter 33 A Similarity Retrieval Method in Brain Image Sequence Database
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    Chapter 34 A Criterion for Learning the Data-Dependent Kernel for Classification
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    Chapter 35 Topic Extraction with AGAPE
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    Chapter 36 Clustering Massive Text Data Streams by Semantic Smoothing Model
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    Chapter 37 GraSeq : A Novel Approximate Mining Approach of Sequential Patterns over Data Stream
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    Chapter 38 A Novel Greedy Bayesian Network Structure Learning Algorithm for Limited Data
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    Chapter 39 Optimum Neural Network Construction Via Linear Programming Minimum Sphere Set Covering
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    Chapter 40 Retracted: How Investigative Data Mining Can Help Intelligence Agencies to Discover Dependence of Nodes in Terrorist Networks
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    Chapter 41 Prediction of Enzyme Class by Using Reactive Motifs Generated from Binding and Catalytic Sites
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    Chapter 42 Bayesian Network Structure Ensemble Learning
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    Chapter 43 Fusion of Palmprint and Iris for Personal Authentication
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    Chapter 44 Enhanced Graph Based Genealogical Record Linkage
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    Chapter 45 A Fuzzy Comprehensive Clustering Method
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    Chapter 46 CACS: A Novel Classification Algorithm Based on Concept Similarity
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    Chapter 47 Data Mining in Tourism Demand Analysis: A Retrospective Analysis
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    Chapter 48 Chinese Patent Mining Based on Sememe Statistics and Key-Phrase Extraction
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    Chapter 49 Classification of Business Travelers Using SVMs Combined with Kernel Principal Component Analysis
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    Chapter 50 Research on the Traffic Matrix Based on Sampling Model
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    Chapter 51 A Causal Analysis for the Expenditure Data of Business Travelers
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    Chapter 52 A Visual and Interactive Data Exploration Method for Large Data Sets and Clustering
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    Chapter 53 Explorative Data Mining on Stock Data – Experimental Results and Findings
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    Chapter 54 Graph Structural Mining in Terrorist Networks
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    Chapter 55 Characterizing Pseudobase and Predicting RNA Secondary Structure with Simple H-Type Pseudoknots Based on Dynamic Programming
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    Chapter 56 Locally Discriminant Projection with Kernels for Feature Extraction
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    Chapter 57 A GA-Based Feature Subset Selection and Parameter Optimization of Support Vector Machine for Content – Based Image Retrieval
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    Chapter 58 E-Stream: Evolution-Based Technique for Stream Clustering
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    Chapter 59 H-BayesClust: A New Hierarchical Clustering Based on Bayesian Networks
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    Chapter 60 An Improved AdaBoost Algorithm Based on Adaptive Weight Adjusting
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    Chapter 61 Retraction Note to: How Investigative Data Mining Can Help Intelligence Agencies to Discover Dependence of Nodes in Terrorist Networks