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Data Warehousing and Knowledge Discovery

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Cover of 'Data Warehousing and Knowledge Discovery'

Table of Contents

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    Book Overview
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    Chapter 1 A Comparison between Query Languages for the Extraction of Association Rules
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    Chapter 2 Learning from Dissociations *
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    Chapter 3 Mining Association Rules from XML Data
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    Chapter 4 Estimating Joint Probabilities from Marginal Ones *
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    Chapter 5 Self-Tuning Clustering: An Adaptive Clustering Method for Transaction Data
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    Chapter 6 CoFD : An Algorithm for Non-distance Based Clustering in High Dimensional Spaces *
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    Chapter 7 An Efficient K -Medoids-Based Algorithm Using Previous Medoid Index, Triangular Inequality Elimination Criteria, and Partial Distance Search
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    Chapter 8 A Hybrid Approach to Web Usage Mining
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    Chapter 9 Building and Exploiting Ad Hoc Concept Hierarchies for Web Log Analysis
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    Chapter 10 Authorization Based on Evidence and Trust *
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    Chapter 11 An Algorithm for Building User-Role Profiles in a Trust Environment 1
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    Chapter 12 Neural-Based Approaches for Improving the Accuracy of Decision Trees
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    Chapter 13 Approximate k -Closest-Pairs with Space Filling Curves
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    Chapter 14 Optimal Dimension Order: A Generic Technique for the Similarity Join
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    Chapter 15 Fast Discovery of Sequential Patterns by Memory Indexing
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    Chapter 16 Dynamic Similarity for Fields with NULL Values
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    Chapter 17 Outlier Detection Using Replicator Neural Networks
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    Chapter 18 The Closed Keys Base of Frequent Itemsets
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    Chapter 19 New Representation and Algorithm for Drawing RNA Structure with Pseudoknots *
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    Chapter 20 Boosting Naive Bayes for Claim Fraud Diagnosis
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    Chapter 21 Optimization of Association Word Knowledge Base through Genetic Algorithm
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    Chapter 22 Mining Temporal Patterns from Health Care Data *
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    Chapter 23 Adding a Performance-Oriented Perspective to Data Warehouse Design
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    Chapter 24 Cost Modeling and Estimation for OLAP-XML Federations
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    Chapter 25 Constraint-Free Join Processing on Hyperlinked Web Data
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    Chapter 26 Focusing on Data Distribution in the WebD 2 W System
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    Chapter 27 A Decathlon in Multidimensional Modeling: Open Issues and Some Solutions
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    Chapter 28 Modeling and Imputation of Large Incomplete Multidimensional Datasets
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    Chapter 29 PartJoin:An Efficient Storage and Query Execution for Data Warehouses
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    Chapter 30 A Transactional Approach to Parallel Data Warehouse Maintenance
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    Chapter 31 Striving towards Near Real-Time Data Integration for Data Warehouses
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    Chapter 32 Time-Interval Sampling for Improved Estimations in Data Warehouses
Attention for Chapter 17: Outlier Detection Using Replicator Neural Networks
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Chapter title
Outlier Detection Using Replicator Neural Networks
Chapter number 17
Book title
Data Warehousing and Knowledge Discovery
Published by
Springer Berlin Heidelberg, July 2015
DOI 10.1007/3-540-46145-0_17
Book ISBNs
978-3-54-044123-6, 978-3-54-046145-6
Authors

Simon Hawkins, Hongxing He, Graham Williams, Rohan Baxter, Hawkins, Simon, He, Hongxing, Williams, Graham, Baxter, Rohan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 463 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 <1%
Canada 3 <1%
United States 3 <1%
Ireland 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Switzerland 1 <1%
Mexico 1 <1%
India 1 <1%
Other 0 0%
Unknown 448 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 108 23%
Student > Master 107 23%
Researcher 62 13%
Student > Bachelor 36 8%
Other 17 4%
Other 40 9%
Unknown 93 20%
Readers by discipline Count As %
Computer Science 217 47%
Engineering 79 17%
Mathematics 13 3%
Business, Management and Accounting 10 2%
Physics and Astronomy 8 2%
Other 31 7%
Unknown 105 23%