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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 An Analytics-Aware Conceptual Model for Evolving Graphs
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    Chapter 2 Declarative Expression and Optimization of Data-Intensive Flows
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    Chapter 3 Tabular Web Data: Schema Discovery and Integration
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    Chapter 4 Uncoupled MapReduce: A Balanced and Efficient Data Transfer Model
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    Chapter 5 Efficient Evaluation of Ad-Hoc Range Aggregates
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    Chapter 6 SPIN: Concurrent Workload Scaling over Data Warehouses
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    Chapter 7 Lily: A Geo-Enhanced Library for Location Intelligence
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    Chapter 8 Discovering Co-location Patterns in Datasets with Extended Spatial Objects
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    Chapter 9 SOLAP4epidemiologist : A Spatial Data Warehousing Application in Epidemiology Domain
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    Chapter 10 Document Difficulty Framework for Semi-automatic Text Classification
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    Chapter 11 Knowledge-Free Table Summarization
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    Chapter 12 Predicting Your Next OLAP Query Based on Recent Analytical Sessions
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    Chapter 13 Where Will You Go? Mobile Data Mining for Next Place Prediction
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    Chapter 14 An Extended Local Hierarchical Classifier for Prediction of Protein and Gene Functions
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    Chapter 15 Supervised Dimensionality Reduction via Nonlinear Target Estimation
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    Chapter 16 Concurrent Execution of Data Mining Queries for Spatial Collocation Pattern Discovery
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    Chapter 17 Depth-First Traversal over a Mirrored Space for Non-redundant Discriminative Itemsets
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    Chapter 18 Stream Mining of Frequent Patterns from Delayed Batches of Uncertain Data
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    Chapter 19 Fast Causal Network Inference over Event Streams
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    Chapter 20 SSCJ: A Semi-Stream Cache Join Using a Front-Stage Cache Module
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    Chapter 21 Metrics to Support the Evaluation of Association Rule Clustering
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    Chapter 22 An Automatic Email Management Approach Using Data Mining Techniques
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    Chapter 23 A Data Mining-Based Wind Power Forecasting Method: Results for Wind Power Plants in Turkey
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    Chapter 24 Disease Occurrence Prediction Based on Spatio-temporal Characterization – A Mesoscale Study for Knowledge and Pattern Discovery
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    Chapter 25 Population Estimation Mining Using Satellite Imagery
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    Chapter 26 GMAC: A Seed-Insensitive Approach to Local Community Detection
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    Chapter 27 Finding Maximal Overlapping Communities
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    Chapter 28 Minimal Vertex Unique Labelled Subgraph Mining
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    Chapter 29 A Hybrid Graph-Based Method for Concept Rule Discovery
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    Chapter 30 Applications of Concurrent Access Patterns in Web Usage Mining
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    Chapter 31 Cell-at-a-Time Approach to Lazy Evaluation of Dimensional Aggregations
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    Chapter 32 MAF: A Method for Detecting Temporal Associations from Multiple Event Sequences
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Data Warehousing and Knowledge Discovery
Published by
Springer Berlin Heidelberg, August 2013
DOI 10.1007/978-3-642-40131-2
978-3-64-240130-5, 978-3-64-240131-2

Bellatreche, Ladjel, Mohania, Mukesh K.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Unknown 2 67%
Readers by discipline Count As %
Computer Science 1 33%
Unknown 2 67%