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Knowledge Discovery in Databases: PKDD 2004

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Cover of 'Knowledge Discovery in Databases: PKDD 2004'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Random Matrices in Data Analysis
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    Chapter 2 Data Privacy
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    Chapter 3 Breaking Through the Syntax Barrier: Searching with Entities and Relations
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    Chapter 4 Real-World Learning with Markov Logic Networks
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    Chapter 5 Strength in Diversity: The Advance of Data Analysis
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    Chapter 6 Mining Positive and Negative Association Rules: An Approach for Confined Rules
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    Chapter 7 An Experiment on Knowledge Discovery in Chemical Databases
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    Chapter 8 Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering
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    Chapter 9 Combining Multiple Clustering Systems
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    Chapter 10 Reducing Data Stream Sliding Windows by Cyclic Tree-Like Histograms
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    Chapter 11 A Framework for Data Mining Pattern Management
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    Chapter 12 Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach
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    Chapter 13 AutoPart: Parameter-Free Graph Partitioning and Outlier Detection
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    Chapter 14 Properties and Benefits of Calibrated Classifiers
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    Chapter 15 A Tree-Based Approach to Clustering XML Documents by Structure
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    Chapter 16 Discovery of Regulatory Connections in Microarray Data
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    Chapter 17 Learning from Little: Comparison of Classifiers Given Little Training
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    Chapter 18 Geometric and Combinatorial Tiles in 0–1 Data
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    Chapter 19 Document Classification Through Interactive Supervision of Document and Term Labels
  21. Altmetric Badge
    Chapter 20 Classifying Protein Fingerprints
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    Chapter 21 Finding Interesting Pass Patterns from Soccer Game Records
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    Chapter 22 Discovering Unexpected Information for Technology Watch
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    Chapter 23 Scalable Density-Based Distributed Clustering
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    Chapter 24 Summarization of Dynamic Content in Web Collections
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    Chapter 25 Mining Thick Skylines over Large Databases
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    Chapter 26 Ensemble Feature Ranking
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    Chapter 27 Privately Computing a Distributed k -nn Classifier
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    Chapter 28 Incremental Nonlinear PCA for Classification
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    Chapter 29 A Spectroscopy of Texts for Effective Clustering
  31. Altmetric Badge
    Chapter 30 Constraint-Based Mining of Episode Rules and Optimal Window Sizes
  32. Altmetric Badge
    Chapter 31 Analysing Customer Churn in Insurance Data – A Case Study
  33. Altmetric Badge
    Chapter 32 Nomograms for Visualization of Naive Bayesian Classifier
  34. Altmetric Badge
    Chapter 33 Using a Hash-Based Method for Apriori-Based Graph Mining
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    Chapter 34 Evaluation of Rule Interestingness Measures with a Clinical Dataset on Hepatitis
  36. Altmetric Badge
    Chapter 35 Classification in Geographical Information Systems
  37. Altmetric Badge
    Chapter 36 Digging into Acceptor Splice Site Prediction: An Iterative Feature Selection Approach
  38. Altmetric Badge
    Chapter 37 Itemset Classified Clustering
  39. Altmetric Badge
    Chapter 38 Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering
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    Chapter 39 Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining
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    Chapter 40 A Quantification of Cluster Novelty with an Application to Martian Topography
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    Chapter 41 Density-Based Spatial Clustering in the Presence of Obstacles and Facilitators
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    Chapter 42 Text Mining for Finding Functional Community of Related Genes Using TCM Knowledge
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    Chapter 43 Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources
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    Chapter 44 A New Scheme on Privacy Preserving Association Rule Mining
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    Chapter 45 A Unified and Flexible Framework for Comparing Simple and Complex Patterns
  47. Altmetric Badge
    Chapter 46 Constructing (Almost) Phylogenetic Trees from Developmental Sequences Data
  48. Altmetric Badge
    Chapter 47 Learning from Multi-source Data
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    Chapter 48 The Anatomy of SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets
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    Chapter 49 COCOA: Compressed Continuity Analysis for Temporal Databases
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    Chapter 50 Discovering Interpretable Muscle Activation Patterns with the Temporal Data Mining Method
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    Chapter 51 A Tolerance Rough Set Approach to Clustering Web Search Results
  53. Altmetric Badge
    Chapter 52 Improving the Performance of the RISE Algorithm
  54. Altmetric Badge
    Chapter 53 Mining History of Changes to Web Access Patterns
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    Chapter 54 Visual Mining of Spatial Time Series Data
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    Chapter 55 Detecting Driving Awareness
  57. Altmetric Badge
    Chapter 56 An Effective Recommender System for Highly Dynamic and Large Web Sites
  58. Altmetric Badge
    Chapter 57 SemanticTalk: Software for Visualizing Brainstorming Sessions and Thematic Concept Trails on Document Collections
  59. Altmetric Badge
    Chapter 58 Orange: From Experimental Machine Learning to Interactive Data Mining
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    Chapter 59 Terrorist Detection System
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    Chapter 60 Experimenting SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets
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    Chapter 61 HIClass: Hyper-interactive Text Classification by Interactive Supervision of Document and Term Labels
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    Chapter 62 Balios – The Engine for Bayesian Logic Programs
  64. Altmetric Badge
    Chapter 63 SEWeP: A Web Mining System Supporting Semantic Personalization
  65. Altmetric Badge
    Chapter 64 SPIN! Data Mining System Based on Component Architecture
Overall attention for this book and its chapters
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Title
Knowledge Discovery in Databases: PKDD 2004
Published by
Springer Berlin Heidelberg, September 2004
DOI 10.1007/b100704
ISBNs
978-3-54-023108-0, 978-3-54-030116-5
Editors

Jean-François Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Australia 1 3%
Malaysia 1 3%
Italy 1 3%
Poland 1 3%
Cuba 1 3%
Canada 1 3%
Unknown 29 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 28%
Professor > Associate Professor 8 22%
Researcher 6 17%
Professor 3 8%
Student > Master 3 8%
Other 6 17%
Readers by discipline Count As %
Computer Science 28 78%
Engineering 4 11%
Mathematics 1 3%
Environmental Science 1 3%
Agricultural and Biological Sciences 1 3%
Other 1 3%