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Discovery Science

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Cover of 'Discovery Science'

Table of Contents

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    Book Overview
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    Chapter 1 Predictive Graph Mining
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    Chapter 2 An Efficient Algorithm for Enumerating Closed Patterns in Transaction Databases
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    Chapter 3 Finding Optimal Pairs of Cooperative and Competing Patterns with Bounded Distance
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    Chapter 4 Mining Noisy Data Streams via a Discriminative Model
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    Chapter 5 CorClass: Correlated Association Rule Mining for Classification
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    Chapter 6 Maximum a Posteriori Tree Augmented Naive Bayes Classifiers
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    Chapter 7 Improving Prediction of Distance-Based Outliers
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    Chapter 8 Detecting Outliers via Logical Theories and Its Data Complexity
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    Chapter 9 Fast Hierarchical Clustering Algorithm Using Locality-Sensitive Hashing
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    Chapter 10 Measuring the Similarity for Heterogenous Data: An Ordered Probability-Based Approach
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    Chapter 11 Constructive Inductive Learning Based on Meta-attributes
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    Chapter 12 Resemblance Coefficient and a Quantum Genetic Algorithm for Feature Selection
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    Chapter 13 Extracting Positive Attributions from Scientific Papers
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    Chapter 14 Enhancing SVM with Visualization
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    Chapter 15 An Associative Information Retrieval Based on the Dependency of Term Co-occurrence
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    Chapter 16 On the Convergence of Incremental Knowledge Base Construction
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    Chapter 17 Privacy Problems with Anonymized Transaction Databases
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    Chapter 18 A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data
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    Chapter 19 Using the Computer to Study the Dynamics of the Handwriting Processes
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    Chapter 20 Product Recommendation in e-Commerce Using Direct and Indirect Confidence for Historical User Sessions
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    Chapter 21 Optimal Discovery of Subword Associations in Strings
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    Chapter 22 Tiling Databases
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    Chapter 23 A Clustering of Interestingness Measures
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    Chapter 24 Extracting Minimal and Closed Monotone DNF Formulas
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    Chapter 25 Characterizations of Multivalued Dependencies and Related Expressions
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    Chapter 26 Outlier Handling in the Neighbourhood-Based Learning of a Continuous Class
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    Chapter 27 A New Clustering Algorithm Based On Cluster Validity Indices
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    Chapter 28 An Efficient Rules Induction Algorithm for Rough Set Classification
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    Chapter 29 Analysing the Trade-Off Between Comprehensibility and Accuracy in Mimetic Models
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    Chapter 30 Generating AVTs Using GA for Learning Decision Tree Classifiers with Missing Data
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    Chapter 31 Using WWW-Distribution of Words in Detecting Peculiar Web Pages
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    Chapter 32 DHT Facilitated Web Service Discovery Incorporating Semantic Annotation
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    Chapter 33 Discovering Relationships Among Catalogs
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    Chapter 34 Reasoning-Based Knowledge Extraction for Text Classification
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    Chapter 35 A Useful System Prototype for Intrusion Detection – Architecture and Experiments
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    Chapter 36 Discovery of Hidden Similarity on Collaborative Filtering to Overcome Sparsity Problem
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    Chapter 37 Seamlessly Supporting Combined Knowledge Discovery and Query Answering: A Case Study
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    Chapter 38 A Structuralist Approach Towards Computational Scientific Discovery
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    Chapter 39 Extracting Modal Implications and Equivalences from Cognitive Minds
Attention for Chapter 5: CorClass: Correlated Association Rule Mining for Classification
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Chapter title
CorClass: Correlated Association Rule Mining for Classification
Chapter number 5
Book title
Discovery Science
Published by
Springer, Berlin, Heidelberg, October 2004
DOI 10.1007/978-3-540-30214-8_5
Book ISBNs
978-3-54-023357-2, 978-3-54-030214-8
Authors

Albrecht Zimmermann, Luc De Raedt

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Belgium 1 5%
Unknown 18 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 30%
Professor > Associate Professor 5 25%
Student > Master 3 15%
Professor 2 10%
Researcher 1 5%
Other 1 5%
Unknown 2 10%
Readers by discipline Count As %
Computer Science 12 60%
Engineering 2 10%
Medicine and Dentistry 1 5%
Business, Management and Accounting 1 5%
Unknown 4 20%