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Advanced Data Mining and Applications

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Cover of 'Advanced Data Mining and Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Confucius and “Its” Intelligent Disciples
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    Chapter 2 From Machine Learning to Child Learning
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    Chapter 3 Sensitivity Based Generalization Error for Supervised Learning Problems with Application in Feature Selection
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    Chapter 4 Data Mining in Financial Markets
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    Chapter 5 Cluster Analysis Based on the Central Tendency Deviation Principle
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    Chapter 6 A Parallel Hierarchical Agglomerative Clustering Technique for Billingual Corpora Based on Reduced Terms with Automatic Weight Optimization
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    Chapter 7 Automatically Identifying Tag Types
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    Chapter 8 Social Knowledge-Driven Music Hit Prediction
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    Chapter 9 Closed Non Derivable Data Cubes Based on Non Derivable Minimal Generators
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    Chapter 10 Indexing the Function: An Efficient Algorithm for Multi-dimensional Search with Expensive Distance Functions
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    Chapter 11 Anti-germ Performance Prediction for Detergents Based on Elman Network on Small Data Sets
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    Chapter 12 A Neighborhood Search Method for Link-Based Tag Clustering
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    Chapter 13 Mining the Structure and Evolution of the Airport Network of China over the Past Twenty Years
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    Chapter 14 Mining Class Contrast Functions by Gene Expression Programming
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    Chapter 15 McSOM: Minimal Coloring of Self-Organizing Map
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    Chapter 16 Chinese Blog Clustering by Hidden Sentiment Factors
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    Chapter 17 Semi Supervised Image Spam Hunter: A Regularized Discriminant EM Approach
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    Chapter 18 Collaborative Filtering Recommendation Algorithm Using Dynamic Similar Neighbor Probability
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    Chapter 19 Calculating Similarity Efficiently in a Small World
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    Chapter 20 A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining
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    Chapter 21 Feature Selection in Marketing Applications
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    Chapter 22 Instance Selection by Border Sampling in Multi-class Domains
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    Chapter 23 Virus Propagation and Immunization Strategies in Email Networks
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    Chapter 24 Semi-supervised Discriminant Analysis Based on Dependence Estimation
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    Chapter 25 Nearest Neighbor Tour Circuit Encryption Algorithm Based Random Isomap Reduction
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    Chapter 26 Bayesian Multi-topic Microarray Analysis with Hyperparameter Reestimation
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    Chapter 27 Discovery of Correlated Sequential Subgraphs from a Sequence of Graphs
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    Chapter 28 Building a Text Classifier by a Keyword and Wikipedia Knowledge
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    Chapter 29 Discovery of Migration Habitats and Routes of Wild Bird Species by Clustering and Association Analysis
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    Chapter 30 GOD-CS: A New Grid-Oriented Dissection Clustering Scheme for Large Databases
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    Chapter 31 Study on Ensemble Classification Methods towards Spam Filtering
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    Chapter 32 Crawling Deep Web Using a New Set Covering Algorithm
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    Chapter 33 A Hybrid Statistical Data Pre-processing Approach for Language-Independent Text Classification
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    Chapter 34 A Potential-Based Node Selection Strategy for Influence Maximization in a Social Network
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    Chapter 35 A Novel Component-Based Model and Ranking Strategy in Constrained Evolutionary Optimization
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    Chapter 36 A Semi-supervised Topic-Driven Approach for Clustering Textual Answers to Survey Questions
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    Chapter 37 An Information-Theoretic Approach for Multi-task Learning
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    Chapter 38 Online New Event Detection Based on IPLSA
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    Chapter 39 Discovering Knowledge from Multi-relational Data Based on Information Retrieval Theory
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    Chapter 40 A Secure Protocol to Maintain Data Privacy in Data Mining
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    Chapter 41 Transfer Learning with Data Edit
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    Chapter 42 Exploiting Temporal Authors Interests via Temporal-Author-Topic Modeling
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    Chapter 43 Mining User Position Log for Construction of Personalized Activity Map
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    Chapter 44 A Multi-Strategy Approach to KNN and LARM on Small and Incrementally Induced Prediction Knowledge
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    Chapter 45 Predicting Click Rates by Consistent Bipartite Spectral Graph Model
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    Chapter 46 Automating Gene Expression Annotation for Mouse Embryo
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    Chapter 47 Structure Correlation in Mobile Call Networks
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    Chapter 48 Initialization of the Neighborhood EM Algorithm for Spatial Clustering
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    Chapter 49 Classification Techniques for Talent Forecasting in Human Resource Management
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    Chapter 50 A Combination Classification Algorithm Based on Outlier Detection and C4.5
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    Chapter 51 A Local Density Approach for Unsupervised Feature Discretization
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    Chapter 52 A Hybrid Method of Multidimensional Scaling and Clustering for Determining Genetic Influence on Phenotypes
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    Chapter 53 Mining Frequent Patterns from Network Data Flow
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    Chapter 54 Several SVM Ensemble Methods Integrated with Under-Sampling for Imbalanced Data Learning
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    Chapter 55 Crawling and Extracting Process Data from the Web
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    Chapter 56 Asymmetric Feature Selection for BGP Abnormal Events Detection
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    Chapter 57 Analysis and Experimentation of Grid-Based Data Mining with Dynamic Load Balancing
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    Chapter 58 Incremental Document Clustering Based on Graph Model
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    Chapter 59 Evaluating the Impact of Missing Data Imputation
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    Chapter 60 Discovery of Significant Classification Rules from Incrementally Inducted Decision Tree Ensemble for Diagnosis of Disease
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    Chapter 61 Application of the Cross-Entropy Method to Dual Lagrange Support Vector Machine
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    Chapter 62 A Predictive Analysis on Medical Data Based on Outlier Detection Method Using Non-Reduct Computation
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    Chapter 63 VisNetMiner: An Integration Tool for Visualization and Analysis of Networks
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    Chapter 64 Anomaly Detection Using Time Index Differences of Identical Symbols with and without Training Data
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    Chapter 65 An Outlier Detection Algorithm Based on Arbitrary Shape Clustering
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    Chapter 66 A Theory of Kernel Extreme Energy Difference for Feature Extraction of EEG Signals
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    Chapter 67 Semantic Based Text Classification of Patent Documents to a User-Defined Taxonomy
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    Chapter 68 Mining Compressed Repetitive Gapped Sequential Patterns Efficiently
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    Chapter 69 Mining Candlesticks Patterns on Stock Series: A Fuzzy Logic Approach
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    Chapter 70 JCCM: Joint Cluster Communities on Attribute and Relationship Data in Social Networks
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    Chapter 71 Similarity Evaluation of XML Documents Based on Weighted Element Tree Model
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    Chapter 72 Quantitative Comparison of Similarity Measure and Entropy for Fuzzy Sets
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    Chapter 73 Investigation of Damage Identification of 16Mn Steel Based on Artificial Neural Networks and Data Fusion Techniques in Tensile Test
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    Chapter 74 OFFD: Optimal Flexible Frequency Discretization for Naïve Bayes Classification
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    Chapter 75 Handling Class Imbalance Problems via Weighted BP Algorithm
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    Chapter 76 Orthogonal Centroid Locally Linear Embedding for Classification
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    Chapter 77 CCBitmaps: A Space-Time Efficient Index Structure for OLAP
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    Chapter 78 Rewriting XPath Expressions Depending on Path Summary
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    Chapter 79 Combining Statistical Machine Learning Models to Extract Keywords from Chinese Documents
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    Chapter 80 Privacy-Preserving Distributed k-Nearest Neighbor Mining on Horizontally Partitioned Multi-Party Data
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    Chapter 81 Alleviating Cold-Start Problem by Using Implicit Feedback
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    Chapter 82 Learning from Video Game: A Study of Video Game Play on Problem-Solving
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    Chapter 83 Image Classification Approach Based on Manifold Learning in Web Image Mining
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    Chapter 84 Social Influence and Role Analysis Based on Community Structure in Social Network
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    Chapter 85 Feature Selection Method Combined Optimized Document Frequency with Improved RBF Network
Attention for Chapter 20: A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining
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Chapter title
A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining
Chapter number 20
Book title
Advanced Data Mining and Applications
Published by
Springer, Berlin, Heidelberg, August 2009
DOI 10.1007/978-3-642-03348-3_20
Book ISBNs
978-3-64-203347-6, 978-3-64-203348-3
Authors

Rachsuda Jiamthapthaksin, Christoph F. Eick, Ricardo Vilalta, Jiamthapthaksin, Rachsuda, Eick, Christoph F., Vilalta, Ricardo

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
India 1 3%
Unknown 31 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 33%
Student > Doctoral Student 4 12%
Student > Master 4 12%
Researcher 3 9%
Student > Postgraduate 2 6%
Other 3 9%
Unknown 6 18%
Readers by discipline Count As %
Computer Science 16 48%
Engineering 3 9%
Mathematics 2 6%
Medicine and Dentistry 1 3%
Unknown 11 33%

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