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Knowledge discovery in databases : PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007 : proceedings

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Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Learning, Information Extraction and the Web
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    Chapter 2 Putting Things in Order: On the Fundamental Role of Ranking in Classification and Probability Estimation
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    Chapter 3 Mining Queries
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    Chapter 4 Adventures in Personalized Information Access
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    Chapter 5 Experiment Databases: Towards an Improved Experimental Methodology in Machine Learning
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    Chapter 6 Using the Web to Reduce Data Sparseness in Pattern-Based Information Extraction
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    Chapter 7 A Graphical Model for Content Based Image Suggestion and Feature Selection
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    Chapter 8 Efficient AUC Optimization for Classification
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    Chapter 9 Finding Transport Proteins in a General Protein Database
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    Chapter 10 Classification of Web Documents Using a Graph-Based Model and Structural Patterns
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    Chapter 11 Context-Specific Independence Mixture Modelling for Protein Families
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    Chapter 12 An Algorithm to Find Overlapping Community Structure in Networks
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    Chapter 13 Privacy Preserving Market Basket Data Analysis
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    Chapter 14 Feature Extraction from Sensor Data Streams for Real-Time Human Behaviour Recognition
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    Chapter 15 Generating Social Network Features for Link-Based Classification
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    Chapter 16 An Empirical Comparison of Exact Nearest Neighbour Algorithms
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    Chapter 17 Site-Independent Template-Block Detection
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    Chapter 18 Statistical Model for Rough Set Approach to Multicriteria Classification
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    Chapter 19 Classification of Anti-learnable Biological and Synthetic Data
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    Chapter 20 Improved Algorithms for Univariate Discretization of Continuous Features
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    Chapter 21 Efficient Weight Learning for Markov Logic Networks
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    Chapter 22 Classification in Very High Dimensional Problems with Handfuls of Examples
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    Chapter 23 Domain Adaptation of Conditional Probability Models Via Feature Subsetting
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    Chapter 24 Learning to Detect Adverse Traffic Events from Noisily Labeled Data
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    Chapter 25 IKNN: Informative K-Nearest Neighbor Pattern Classification
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    Chapter 26 Finding Outlying Items in Sets of Partial Rankings
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    Chapter 27 Speeding Up Feature Subset Selection Through Mutual Information Relevance Filtering
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    Chapter 28 A Comparison of Two Approaches to Classify with Guaranteed Performance
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    Chapter 29 Towards Data Mining Without Information on Knowledge Structure
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    Chapter 30 Relaxation Labeling for Selecting and Exploiting Efficiently Non-local Dependencies in Sequence Labeling
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    Chapter 31 Bridged Refinement for Transfer Learning
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    Chapter 32 A Prediction-Based Visual Approach for Cluster Exploration and Cluster Validation by HOV3
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    Chapter 33 Flexible Grid-Based Clustering
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    Chapter 34 Polyp Detection in Endoscopic Video Using SVMs
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    Chapter 35 A Density-Biased Sampling Technique to Improve Cluster Representativeness
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    Chapter 36 Expectation Propagation for Rating Players in Sports Competitions
  38. Altmetric Badge
    Chapter 37 Efficient Closed Pattern Mining in Strongly Accessible Set Systems (Extended Abstract)
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    Chapter 38 Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach
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    Chapter 39 Realistic Synthetic Data for Testing Association Rule Mining Algorithms for Market Basket Databases
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    Chapter 40 Learning Multi-dimensional Functions: Gas Turbine Engine Modeling
  42. Altmetric Badge
    Chapter 41 Constructing High Dimensional Feature Space for Time Series Classification
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    Chapter 42 A Dynamic Clustering Algorithm for Mobile Objects
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    Chapter 43 A Method for Multi-relational Classification Using Single and Multi-feature Aggregation Functions
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    Chapter 44 MINI: Mining Informative Non-redundant Itemsets
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    Chapter 45 Stream-Based Electricity Load Forecast
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    Chapter 46 Automatic Hidden Web Database Classification
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    Chapter 47 Pruning Relations for Substructure Discovery of Multi-relational Databases
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    Chapter 48 The Most Reliable Subgraph Problem
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    Chapter 49 Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains
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    Chapter 50 Searching for Better Randomized Response Schemes for Privacy-Preserving Data Mining
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    Chapter 51 Pre-processing Large Spatial Data Sets with Bayesian Methods
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    Chapter 52 Tag Recommendations in Folksonomies
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    Chapter 53 Providing Naïve Bayesian Classifier-Based Private Recommendations on Partitioned Data
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    Chapter 54 Multi-party, Privacy-Preserving Distributed Data Mining Using a Game Theoretic Framework
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    Chapter 55 Multilevel Conditional Fuzzy C-Means Clustering of XML Documents
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    Chapter 56 Uncovering Fraud in Direct Marketing Data with a Fraud Auditing Case Builder
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    Chapter 57 Real Time GPU-Based Fuzzy ART Skin Recognition
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    Chapter 58 A Cooperative Game Theoretic Approach to Prototype Selection
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    Chapter 59 Dynamic Bayesian Networks for Real-Time Classification of Seismic Signals
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    Chapter 60 Robust Visual Mining of Data with Error Information
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    Chapter 61 An Effective Approach to Enhance Centroid Classifier for Text Categorization
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    Chapter 62 Automatic Categorization of Human-Coded and Evolved CoreWar Warriors
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    Chapter 63 Utility-Based Regression
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    Chapter 64 Multi-label Lazy Associative Classification
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    Chapter 65 Visual Exploration of Genomic Data
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    Chapter 66 Association Mining in Large Databases: A Re-examination of Its Measures
  68. Altmetric Badge
    Chapter 67 Semantic Text Classification of Emergent Disease Reports
Overall attention for this book and its chapters
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Title
Knowledge discovery in databases : PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007 : proceedings
Published by
Springer, January 2007
DOI 10.1007/978-3-540-74976-9
ISBNs
978-3-54-074975-2, 978-3-54-074976-9
Authors

Kok, Joost N

Editors

Kok, Joost N., Koronacki, Jacek, Lopez de Mantaras, Ramon, Matwin, Stan, Mladenič, Dunja, Skowron, Andrzej

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 87 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 3%
Student > Bachelor 1 1%
Unknown 83 95%
Readers by discipline Count As %
Computer Science 3 3%
Sports and Recreations 1 1%
Unknown 83 95%