Knowledge discovery in databases -- PKDD 2005 : 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005 : proceedings

Table of Contents

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   Book Overview
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   Chapter 1 Data Analysis in the Life Sciences — Sparking Ideas —
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   Chapter 2 Machine Learning for Natural Language Processing (and Vice Versa?)
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   Chapter 3 Statistical Relational Learning: An Inductive Logic Programming Perspective
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   Chapter 4 Recent Advances in Mining Time Series Data
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   Chapter 5 Focus the Mining Beacon: Lessons and Challenges from the World of E-Commerce
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   Chapter 6 Data Streams and Data Synopses for Massive Data Sets
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   Chapter 7 k -Anonymous Patterns
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   Chapter 8 Interestingness is Not a Dichotomy: Introducing Softness in Constrained Pattern Mining
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    Chapter 9 Generating Dynamic Higher-Order Markov Models in Web Usage Mining
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    Chapter 10 Tree 2 – Decision Trees for Tree Structured Data
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    Chapter 11 Agglomerative Hierarchical Clustering with Constraints: Theoretical and Empirical Results
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    Chapter 12 Cluster Aggregate Inequality and Multi-level Hierarchical Clustering
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    Chapter 13 Ensembles of Balanced Nested Dichotomies for Multi-class Problems
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    Chapter 14 Protein Sequence Pattern Mining with Constraints
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    Chapter 15 An Adaptive Nearest Neighbor Classification Algorithm for Data Streams
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    Chapter 16 Support Vector Random Fields for Spatial Classification
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    Chapter 17 Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication
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    Chapter 18 A Correspondence Between Maximal Complete Bipartite Subgraphs and Closed Patterns
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    Chapter 19 Improving Generalization by Data Categorization
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    Chapter 20 Mining Model Trees from Spatial Data
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    Chapter 21 Word Sense Disambiguation for Exploiting Hierarchical Thesauri in Text Classification
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    Chapter 22 Mining Paraphrases from Self-anchored Web Sentence Fragments
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    Chapter 23 M 2 SP: Mining Sequential Patterns Among Several Dimensions
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    Chapter 24 A Systematic Comparison of Feature-Rich Probabilistic Classifiers for NER Tasks
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    Chapter 25 Knowledge Discovery from User Preferences in Conversational Recommendation
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    Chapter 26 Unsupervised Discretization Using Tree-Based Density Estimation
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    Chapter 27 Weighted Average Pointwise Mutual Information for Feature Selection in Text Categorization
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    Chapter 28 Non-stationary Environment Compensation Using Sequential EM Algorithm for Robust Speech Recognition
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    Chapter 29 Hybrid Cost-Sensitive Decision Tree
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    Chapter 30 Characterization of Novel HIV Drug Resistance Mutations Using Clustering, Multidimensional Scaling and SVM-Based Feature Ranking
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    Chapter 31 Object Identification with Attribute-Mediated Dependences
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    Chapter 32 Weka4WS: A WSRF-Enabled Weka Toolkit for Distributed Data Mining on Grids
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    Chapter 33 Using Inductive Logic Programming for Predicting Protein-Protein Interactions from Multiple Genomic Data
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    Chapter 34 ISOLLE: Locally Linear Embedding with Geodesic Distance
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    Chapter 35 Active Sampling for Knowledge Discovery from Biomedical Data
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    Chapter 36 A Multi-metric Index for Euclidean and Periodic Matching
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    Chapter 37 Fast Burst Correlation of Financial Data
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    Chapter 38 A Propositional Approach to Textual Case Indexing
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    Chapter 39 Knowledge Discovery in Databases: PKDD 2005
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    Chapter 40 Efficient Classification from Multiple Heterogeneous Databases
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    Chapter 41 A Probabilistic Clustering-Projection Model for Discrete Data
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    Chapter 42 Collaborative Filtering on Data Streams
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    Chapter 43 The Relation of Closed Itemset Mining, Complete Pruning Strategies and Item Ordering in Apriori-Based FIM Algorithms
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    Chapter 44 Community Mining from Multi-relational Networks
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    Chapter 45 Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest
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    Chapter 46 A Kernel Based Method for Discovering Market Segments in Beef Meat
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    Chapter 47 Corpus-Based Neural Network Method for Explaining Unknown Words by WordNet Senses
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    Chapter 48 Segment and Combine Approach for Non-parametric Time-Series Classification
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    Chapter 49 Producing Accurate Interpretable Clusters from High-Dimensional Data
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    Chapter 50 Stress-Testing Hoeffding Trees
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    Chapter 51 Rank Measures for Ordering
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    Chapter 52 Dynamic Ensemble Re-Construction for Better Ranking
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    Chapter 53 Frequency-Based Separation of Climate Signals
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    Chapter 54 Efficient Processing of Ranked Queries with Sweeping Selection
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    Chapter 55 Feature Extraction from Mass Spectra for Classification of Pathological States
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    Chapter 56 Numbers in Multi-relational Data Mining
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    Chapter 57 Testing Theories in Particle Physics Using Maximum Likelihood and Adaptive Bin Allocation
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    Chapter 58 Improved Naive Bayes for Extremely Skewed Misclassification Costs
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    Chapter 59 Clustering and Prediction of Mobile User Routes from Cellular Data
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    Chapter 60 Elastic Partial Matching of Time Series
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    Chapter 61 An Entropy-Based Approach for Generating Multi-dimensional Sequential Patterns
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    Chapter 62 Visual Terrain Analysis of High-Dimensional Datasets
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    Chapter 63 An Auto-stopped Hierarchical Clustering Algorithm for Analyzing 3D Model Database
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    Chapter 64 A Comparison Between Block CEM and Two-Way CEM Algorithms to Cluster a Contingency Table
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    Chapter 65 An Imbalanced Data Rule Learner
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    Chapter 66 Improvements in the Data Partitioning Approach for Frequent Itemsets Mining
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    Chapter 67 On-Line Adaptive Filtering of Web Pages
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    Chapter 68 A Bi-clustering Framework for Categorical Data
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    Chapter 69 Privacy-Preserving Collaborative Filtering on Vertically Partitioned Data
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    Chapter 70 Indexed Bit Map (IBM) for Mining Frequent Sequences
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    Chapter 71 STochFS: A Framework for Combining Feature Selection Outcomes Through a Stochastic Process
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    Chapter 72 Speeding Up Logistic Model Tree Induction
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    Chapter 73 A Random Method for Quantifying Changing Distributions in Data Streams
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    Chapter 74 Deriving Class Association Rules Based on Levelwise Subspace Clustering
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    Chapter 75 An Incremental Algorithm for Mining Generators Representation
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    Chapter 76 Hybrid Technique for Artificial Neural Network Architecture and Weight Optimization