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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 ONE: A Predictable and Scalable DW Model
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    Chapter 2 The Planning OLAP Model - A Multidimensional Model with Planning Support
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    Chapter 3 Extending the Dimensional Templates Approach to Integrate Complex Multidimensional Design Concepts
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    Chapter 4 OLAP Formulations for Supporting Complex Spatial Objects in Data Warehouses
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    Chapter 5 Multidimensional Database Design from Document-Centric XML Documents
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    Chapter 6 Modern Software Engineering Methodologies Meet Data Warehouse Design: 4WD
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    Chapter 7 GEM : Requirement-Driven Generation of ETL and Multidimensional Conceptual Designs
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    Chapter 8 ETLMR: A Highly Scalable Dimensional ETL Framework Based on MapReduce
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    Chapter 9 Complementing Data in the ETL Process
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    Chapter 10 TTL: A Transformation, Transference and Loading Approach for Active Monitoring
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    Chapter 11 Support for User Involvement in Data Cleaning
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    Chapter 12 Efficient Processing of Drill-across Queries over Geographic Data Warehouses
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    Chapter 13 The NOX OLAP Query Model: From Algebra to Execution
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    Chapter 14 VarDB: High-Performance Warehouse Processing with Massive Ordering and Binary Search
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    Chapter 15 Vertical Fragmentation of XML Data Warehouses Using Frequent Path Sets
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    Chapter 16 Implementing Vertical Splitting for Large Scale Multidimensional Datasets and Its Evaluations
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    Chapter 17 Describing Analytical Sessions Using a Multidimensional Algebra
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    Chapter 18 Tagged MapReduce: Efficiently Computing Multi-analytics Using MapReduce
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    Chapter 19 Frequent Pattern Mining from Time-Fading Streams of Uncertain Data
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    Chapter 20 SPO-Tree: Efficient Single Pass Ordered Incremental Pattern Mining
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    Chapter 21 RP-Tree: Rare Pattern Tree Mining
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    Chapter 22 Co-clustering with Augmented Data Matrix
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    Chapter 23 Using Confusion Matrices and Confusion Graphs to Design Ensemble Classification Models from Large Datasets
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    Chapter 24 Pairwise Similarity Calculation of Information Networks
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    Chapter 25 Feature Selection with Mutual Information for Uncertain Data
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    Chapter 26 Time Aware Index for Link Prediction in Social Networks
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    Chapter 27 An Efficient Cacheable Secure Scalar Product Protocol for Privacy-Preserving Data Mining
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    Chapter 28 Learning Actions in Complex Software Systems
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    Chapter 29 An Envelope-Based Approach to Rotation-Invariant Boundary Image Matching
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    Chapter 30 Finding Fraud in Health Insurance Data with Two-Layer Outlier Detection Approach
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    Chapter 31 Enhancing Activity Recognition in Smart Homes Using Feature Induction
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    Chapter 32 Mining Approximate Frequent Closed Flows over Packet Streams
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    Chapter 33 Knowledge Acquisition from Sensor Data in an Equine Environment
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    Chapter 34 Concurrent Semi-supervised Learning of Data Streams
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    Chapter 35 A Bounded Version of Online Boosting on Open-Ended Data Streams
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    Chapter 36 Moderated VFDT in Stream Mining Using Adaptive Tie Threshold and Incremental Pruning
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    Chapter 37 Finding Critical Thresholds for Defining Bursts
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Title
Data Warehousing and Knowledge Discovery
Published by
Springer Science & Business Media, August 2011
DOI 10.1007/978-3-642-23544-3
ISBNs
978-3-64-223543-6, 978-3-64-223544-3
Editors

Cuzzocrea, Alfredo, Dayal, Umeshwar

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 5%
Student > Master 1 2%
Unknown 38 93%
Readers by discipline Count As %
Computer Science 4 10%
Unknown 37 90%