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Advances in Knowledge Discovery and Data Mining

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Cover of 'Advances in Knowledge Discovery and Data Mining'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Machine Learning for Analyzing Human Brain Function
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    Chapter 2 Subgroup Discovery Techniques and Applications
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    Chapter 3 IT Development in the 21 st Century and Its Implications
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    Chapter 4 Data Mining of Gene Expression Microarray via Weighted Prefix Trees
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    Chapter 5 Automatic Extraction of Low Frequency Bilingual Word Pairs from Parallel Corpora with Various Languages
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    Chapter 6 A Kernel Function Method in Clustering
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    Chapter 7 Performance Measurements for Privacy Preserving Data Mining
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    Chapter 8 Extraction of Frequent Few-Overlapped Monotone DNF Formulas with Depth-First Pruning
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    Chapter 9 Rule Extraction from Trained Support Vector Machines
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    Chapter 10 Pruning Derivative Partial Rules During Impact Rule Discovery
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    Chapter 11 $\mathcal{IGB}$ : A New Informative Generic Base of Association Rules
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    Chapter 12 A Divide and Conquer Approach for Deriving Partially Ordered Sub-structures
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    Chapter 13 Finding Sporadic Rules Using Apriori-Inverse
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    Chapter 14 Automatic View Selection: An Application to Image Mining
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    Chapter 15 Pushing Tougher Constraints in Frequent Pattern Mining
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    Chapter 16 An Efficient Compression Technique for Frequent Itemset Generation in Association Rule Mining
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    Chapter 17 Mining Time-Profiled Associations: An Extended Abstract
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    Chapter 18 Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks
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    Chapter 19 Mining Frequent Ordered Patterns
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    Chapter 20 Conditional Random Fields for Transmembrane Helix Prediction
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    Chapter 21 A DNA Index Structure Using Frequency and Position Information of Genetic Alphabet
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    Chapter 22 An Automatic Unsupervised Querying Algorithm for Efficient Information Extraction in Biomedical Domain
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    Chapter 23 Voting Fuzzy k-NN to Predict Protein Subcellular Localization from Normalized Amino Acid Pair Compositions
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    Chapter 24 Comparison of Tree Based Methods on Mammography Data
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    Chapter 25 Bayesian Sequence Learning for Predicting Protein Cleavage Points
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    Chapter 26 A Novel Indexing Method for Efficient Sequence Matching in Large DNA Database Environment
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    Chapter 27 Threshold Tuning for Improved Classification Association Rule Mining
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    Chapter 28 Using Rough Set in Feature Selection and Reduction in Face Recognition Problem
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    Chapter 29 Analysis of Company Growth Data Using Genetic Algorithms on Binary Trees
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    Chapter 30 Considering Re-occurring Features in Associative Classifiers
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    Chapter 31 A New Evolutionary Neural Network Classifier
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    Chapter 32 A Privacy-Preserving Classification Mining Algorithm
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    Chapter 33 Combining Classifiers with Multi-representation of Context in Word Sense Disambiguation
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    Chapter 34 Automatic Occupation Coding with Combination of Machine Learning and Hand-Crafted Rules
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    Chapter 35 Retrieval Based on Language Model with Relative Entropy and Feedback
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    Chapter 36 Text Classification for DAG-Structured Categories
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    Chapter 37 Sentiment Classification Using Word Sub-sequences and Dependency Sub-trees
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    Chapter 38 Improving Rough Classifiers Using Concept Ontology
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    Chapter 39 QED: An Efficient Framework for Temporal Region Query Processing
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    Chapter 40 A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for Time-Series Data Streams
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    Chapter 41 Locating Motifs in Time-Series Data
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    Chapter 42 Stochastic Local Clustering for Massive Graphs
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    Chapter 43 A Neighborhood-Based Clustering Algorithm
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    Chapter 44 Improved Self-splitting Competitive Learning Algorithm
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    Chapter 45 Speeding-Up Hierarchical Agglomerative Clustering in Presence of Expensive Metrics
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    Chapter 46 Dynamic Cluster Formation Using Level Set Methods
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    Chapter 47 A Vector Field Visualization Technique for Self-organizing Maps
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    Chapter 48 Visualization of Cluster Changes by Comparing Self-organizing Maps
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    Chapter 49 An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection
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    Chapter 50 Visual Interactive Evolutionary Algorithm for High Dimensional Data Clustering and Outlier Detection
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    Chapter 51 Approximated Clustering of Distributed High-Dimensional Data
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    Chapter 52 Improvements of IncSpan: Incremental Mining of Sequential Patterns in Large Database
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    Chapter 53 Efficient Sampling: Application to Image Data
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    Chapter 54 Cluster-Based Rough Set Construction
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    Chapter 55 Learning Bayesian Networks Structures from Incomplete Data: An Efficient Approach Based on Extended Evolutionary Programming
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    Chapter 56 Dynamic Fuzzy Clustering for Recommender Systems
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    Chapter 57 Improving Mining Quality by Exploiting Data Dependency
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    Chapter 58 Feature Selection for High Dimensional Face Image Using Self-organizing Maps
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    Chapter 59 Progressive Sampling for Association Rules Based on Sampling Error Estimation
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    Chapter 60 CLe Ver : A Feature Subset Selection Technique for Multivariate Time Series
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    Chapter 61 Covariance and PCA for Categorical Variables
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    Chapter 62 ADenTS: An Adaptive Density-Based Tree Structure for Approximating Aggregate Queries over Real Attributes
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    Chapter 63 Frequent Itemset Mining with Parallel RDBMS
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    Chapter 64 Using Consensus Susceptibility and Consistency Measures for Inconsistent Knowledge Management
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    Chapter 65 WLPMiner: Weighted Frequent Pattern Mining with Length-Decreasing Support Constraints
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    Chapter 66 A Framework for Incorporating Class Priors into Discriminative Classification
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    Chapter 67 Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data
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    Chapter 68 Kernels over Relational Algebra Structures
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    Chapter 69 Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning
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    Chapter 70 Maximizing Tree Diversity by Building Complete-Random Decision Trees
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    Chapter 71 SETRED: Self-training with Editing
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    Chapter 72 Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis
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    Chapter 73 Training Support Vector Machines Using Greedy Stagewise Algorithm
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    Chapter 74 Cl-GBI: A Novel Approach for Extracting Typical Patterns from Graph-Structured Data
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    Chapter 75 Improved Bayesian Spam Filtering Based on Co-weighted Multi-area Information
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    Chapter 76 An Efficient Framework for Mining Flexible Constraints
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    Chapter 77 Support Oriented Discovery of Generalized Disjunction-Free Representation of Frequent Patterns with Negation
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    Chapter 78 Feature Selection Algorithm for Data with Both Nominal and Continuous Features
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    Chapter 79 A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets
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    Chapter 80 On Multiple Query Optimization in Data Mining
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    Chapter 81 USAID: Unifying Signature-Based and Anomaly-Based Intrusion Detection
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    Chapter 82 Mining Mobile Group Patterns: A Trajectory-Based Approach
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    Chapter 83 Can We Apply Projection Based Frequent Pattern Mining Paradigm to Spatial Co-location Mining?
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    Chapter 84 PatZip: Pattern-Preserved Spatial Data Compression
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    Chapter 85 A Likelihood Ratio Distance Measure for the Similarity Between the Fourier Transform of Time Series
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    Chapter 86 The TIMERS II Algorithm for the Discovery of Causality
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    Chapter 87 A Recent-Biased Dimension Reduction Technique for Time Series Data
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    Chapter 88 Graph Partition Model for Robust Temporal Data Segmentation
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    Chapter 89 Accurate Symbolization of Time Series
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    Chapter 90 A Novel Bit Level Time Series Representation with Implication of Similarity Search and Clustering
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    Chapter 91 Finding Temporal Features of Event-Oriented Patterns
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    Chapter 92 An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning
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    Chapter 93 Cyclic Pattern Kernels Revisited
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    Chapter 94 Subspace Clustering of Text Documents with Feature Weighting K -Means Algorithm
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    Chapter 95 Using Term Clustering and Supervised Term Affinity Construction to Boost Text Classification
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    Chapter 96 Technology Trends Analysis from the Internet Resources
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    Chapter 97 Dynamic Mining Hierarchical Topic from Web News Stream Data Using Divisive-Agglomerative Clustering Method
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    Chapter 98 Collecting Topic-Related Web Pages for Link Structure Analysis by Using a Potential Hub and Authority First Approach
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    Chapter 99 A Top Down Algorithm for Mining Web Access Patterns from Web Logs
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    Chapter 100 Kernel Principal Component Analysis for Content Based Image Retrieval
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    Chapter 101 Mining Frequent Trees with Node-Inclusion Constraints
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Title
Advances in Knowledge Discovery and Data Mining
Published by
Springer Science & Business Media, May 2005
DOI 10.1007/b136725
ISBNs
978-3-54-026076-9, 978-3-54-031935-1
Editors

Ho, Tu Bao, Cheung, David, Liu, Huan

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