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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
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    Chapter 1 Decision Making with Uncertainty and Data Mining
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    Chapter 2 Complex Networks and Networked Data Mining
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    Chapter 3 In-Depth Data Mining and Its Application in Stock Market
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    Chapter 4 Relevance of Counting in Data Mining Tasks
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    Chapter 5 Term Graph Model for Text Classification
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    Chapter 6 A Latent Usage Approach for Clustering Web Transaction and Building User Profile
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    Chapter 7 Mining Quantitative Association Rules on Overlapped Intervals
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    Chapter 8 An Approach to Mining Local Causal Relationships from Databases
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    Chapter 9 Mining Least Relational Patterns from Multi Relational Tables
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    Chapter 10 Finding All Frequent Patterns Starting from the Closure
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    Chapter 11 Multiagent Association Rules Mining in Cooperative Learning Systems
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    Chapter 12 VisAR : A New Technique for Visualizing Mined Association Rules
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    Chapter 13 An Efficient Algorithm for Mining Both Closed and Maximal Frequent Free Subtrees Using Canonical Forms
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    Chapter 14 E-CIDIM: Ensemble of CIDIM Classifiers
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    Chapter 15 Partially Supervised Classification – Based on Weighted Unlabeled Samples Support Vector Machine
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    Chapter 16 Mining Correlated Rules for Associative Classification
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    Chapter 17 A Comprehensively Sized Decision Tree Generation Method for Interactive Data Mining of Very Large Databases
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    Chapter 18 Using Latent Class Models for Neighbors Selection in Collaborative Filtering
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    Chapter 19 A Polynomial Smooth Support Vector Machine for Classification
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    Chapter 20 Reducts in Incomplete Decision Tables
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    Chapter 21 Learning k -Nearest Neighbor Naive Bayes for Ranking
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    Chapter 22 One Dependence Augmented Naive Bayes
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    Chapter 23 A Genetic k -Modes Algorithm for Clustering Categorical Data
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    Chapter 24 A Fast Fuzzy Clustering Algorithm for Large-Scale Datasets
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    Chapter 25 Clustering with Noising Method
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    Chapter 26 Extracting the Representative Failure Executions via Clustering Analysis Based on Markov Profile Model
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    Chapter 27 Improvement on the Approximation Bound for Fuzzy-Neural Networks Clustering Method with Gaussian Membership Function
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    Chapter 28 Optimal Fuzzy Modeling Based on Minimum Cluster Volume
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    Chapter 29 An Efficient Clustering Approach for Large Document Collections
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    Chapter 30 Clustering Categorical Data Using Coverage Density
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    Chapter 31 A New Support Vector Machine for Data Mining
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    Chapter 32 The Infinite Polynomial Kernel for Support Vector Machine
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    Chapter 33 Routing Attribute Data Mining Based on Rough Set Theory
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    Chapter 34 A Novel Data Mining Method Based on Ant Colony Algorithm
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    Chapter 35 Context-Sensitive Regression Analysis for Distributed Data
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    Chapter 36 Customer Churn Prediction Using Improved One-Class Support Vector Machine
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    Chapter 37 The Application of Adaptive Partitioned Random Search in Feature Selection Problem
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    Chapter 38 Heuristic Scheduling of Concurrent Data Mining Queries
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    Chapter 39 Using Gap-Insensitive String Kernel to Detect Masquerading
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    Chapter 40 A New Method for Linear Ill-Posed Problems: Iteration Method by Rectifying Eigenvalue
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    Chapter 41 A Non-VSM kNN Algorithm for Text Classification
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    Chapter 42 A Study on Text Clustering Algorithms Based on Frequent Term Sets
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    Chapter 43 An Improvement of Text Association Classification Using Rules Weights
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    Chapter 44 Word Segmentation and POS Tagging for Chinese Keyphrase Extraction
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    Chapter 45 Learning User Profiles from Text in e-Commerce
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    Chapter 46 Data Mining Based on Objects in Video Flow with Dynamic Background
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    Chapter 47 An Approach to Compressed Image Retrieval Based on JPEG2000 Framework
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    Chapter 48 Target Segmentation and Feature Extraction for Undersea Image Based on Function Transformation
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    Chapter 49 ART in Image Reconstruction with Narrow Fan-Beam Based on Data Mining
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    Chapter 50 Digits Speech Recognition Based on Geometrical Learning
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    Chapter 51 A Novel Information Hiding Technique for Remote Sensing Image
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    Chapter 52 Content-Based News Video Mining
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    Chapter 53 Automatic Image Registration via Clustering and Convex Hull Vertices Matching
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    Chapter 54 Fingerprint Image Segmentation Based on Gaussian-Hermite Moments
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    Chapter 55 HVSM: A New Sequential Pattern Mining Algorithm Using Bitmap Representation
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    Chapter 56 HGA-COFFEE : Aligning Multiple Sequences by Hybrid Genetic Algorithm
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    Chapter 57 Independent Component Analysis for Clustering Multivariate Time Series Data
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    Chapter 58 Applying Fuzzy Neural Network to Intrusion Detection Based on Sequences of System Calls
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    Chapter 59 Design and Implementation of Web Mining System Based on Multi-agent
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    Chapter 60 A Novel Framework for Web Page Classification Using Two-Stage Neural Network
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    Chapter 61 Fuzzy Evaluation of Hotel Websites
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    Chapter 62 Querying Web Images by Topic and Example Specification Methods
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    Chapter 63 The Research on Fuzzy Data Mining Applied on Browser Records
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    Chapter 64 Discovering Conceptual Page Hierarchy of a Web Site from User Traversal History
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    Chapter 65 Bayesian Neural Networks for Prediction of Protein Secondary Structure
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    Chapter 66 PromPredictor: A Hybrid Machine Learning System for Recognition and Location of Transcription Start Sites in Human Genome
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    Chapter 67 Robust Ensemble Learning for Cancer Diagnosis Based on Microarray Data Classification
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    Chapter 68 A Comprehensive Benchmark of the Artificial Immune Recognition System (AIRS)
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    Chapter 69 An Analysis of Missing Data Treatment Methods and Their Application to Health Care Dataset
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    Chapter 70 Parallel Genetic Algorithm and Parallel Simulated Annealing Algorithm for the Closest String Problem
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    Chapter 71 Mining Interesting Association Rules in Medical Images
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    Chapter 72 Hybrid Feature Ranking for Proteins Classification
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    Chapter 73 Predicting Subcellular Localization of Proteins Using Support Vector Machine with N-Terminal Amino Composition
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    Chapter 74 The Dynamic Character Curve Adjusting Model of Electric Load Based on Data Mining Theory
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    Chapter 75 Using Boosting Learning Method for Intrusion Detection
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    Chapter 76 RoleOf Relationship and Its Meta Model for Design Pattern Instantiation
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    Chapter 77 Automatic Inspection of Industrial Sheetmetal Parts with Single Non-metric CCD Camera
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    Chapter 78 An Advanced Implementation of a Distributed Control Scheme Based on LonWorks System over IP Networks
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    Chapter 79 Structural Damage Detection by Integrating Independent Component Analysis and Support Vector Machine
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    Chapter 80 An LZ78 Based String Kernel
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    Chapter 81 Classifying Class and Finding Community in UML Metamodel Network
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    Chapter 82 An Adaptive Network Intrusion Detection Method Based on PCA and Support Vector Machines
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    Chapter 83 Improved Grid Information Service Using the Idea of File-Parted Replication
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    Chapter 84 Dynamic Shape Modeling of Consumers’ Daily Load Based on Data Mining
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    Chapter 85 A Study on the Mechanism of Virtual SAN-Based Spatial Data Storage with Double-Thoroughfare in Grid
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    Chapter 86 A BP Neural Network Predictor Model for Desulfurizing Molten Iron
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    Chapter 87 A Flexible Report Architecture Based on Association Rules Mining
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    Chapter 88 Privacy Preserving Naive Bayes Classification
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    Chapter 89 A Further Study on Inverse Frequent Set Mining
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    Chapter 90 Mathematical Analysis of Classifying Convex Clusters Based on Support Functionals
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    Chapter 91 Linear Belts Mining from Spatial Database with Mathematical Morphological Operators
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    Chapter 92 Spatial Information Multi-grid for Data Mining
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    Chapter 93 A Uniform Framework of 3D Spatial Data Model and Data Mining from the Model
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    Chapter 94 Mining Standard Land Price with Tension Spline Function
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    Chapter 95 Mining Recent Frequent Itemsets in Data Streams by Radioactively Attenuating Strategy
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    Chapter 96 User Subjectivity in Change Modeling of Streaming Itemsets
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    Chapter 97 A Grid-Based Clustering Algorithm for High-Dimensional Data Streams
Overall attention for this book and its chapters
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Title
Advanced Data Mining and Applications
Published by
Springer Science & Business Media, July 2005
DOI 10.1007/b11111
ISBNs
978-3-54-027894-8, 978-3-54-031877-4
Editors

Li, Xue, Wang, Shuliang, Dong, Zhao Yang

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 4%
Japan 1 4%
United States 1 4%
Unknown 22 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 76%
Researcher 13 52%
Student > Master 11 44%
Student > Doctoral Student 9 36%
Student > Bachelor 7 28%
Other 11 44%
Readers by discipline Count As %
Computer Science 36 144%
Engineering 8 32%
Unspecified 6 24%
Social Sciences 5 20%
Agricultural and Biological Sciences 4 16%
Other 11 44%

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