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Data Warehousing and Knowledge Discovery

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Cover of 'Data Warehousing and Knowledge Discovery'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 An Approach on ETL Attached Data Quality Management
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    Chapter 2 Quality Measures for ETL Processes
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    Chapter 3 A Logical Model for Multiversion Data Warehouses
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    Chapter 4 OntoWarehousing – Multidimensional Design Supported by a Foundational Ontology: A Temporal Perspective
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    Chapter 5 Modeling and Querying Data Warehouses on the Semantic Web Using QB4OLAP
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    Chapter 6 Extending Drill-Down through Semantic Reasoning on Indicator Formulas
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    Chapter 7 An OLAP-Based Approach to Modeling and Querying Granular Temporal Trends
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    Chapter 8 Real-Time Data Warehousing: A Rewrite/Merge Approach
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    Chapter 9 Towards next generation BI systems : the analytical metadata challenge
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    Chapter 10 Mining Fuzzy Contextual Preferences
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    Chapter 11 BLIMP: A Compact Tree Structure for Uncertain Frequent Pattern Mining
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    Chapter 12 Discovering Statistically Significant Co-location Rules in Datasets with Extended Spatial Objects
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    Chapter 13 Discovering Community Preference Influence Network by Social Network Opinion Posts Mining
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    Chapter 14 Computing Hierarchical Skyline Queries “On-the-Fly” in a Data Warehouse
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    Chapter 15 Impact of Content Novelty on the Accuracy of a Group Recommender System
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    Chapter 16 Optimizing Queue-Based Semi-Stream Joins with Indexed Master Data
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    Chapter 17 Parallel Co-clustering with Augmented Matrices Algorithm with Map-Reduce
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    Chapter 18 Processing OLAP Queries over an Encrypted Data Warehouse Stored in the Cloud
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    Chapter 19 Reducing Multidimensional Data
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    Chapter 20 Towards an OLAP Environment for Column-Oriented Data Warehouses
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    Chapter 21 Interval OLAP: Analyzing Interval Data
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    Chapter 22 Improving the Processing of DW Star-Queries under Concurrent Query Workloads
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    Chapter 23 Building Smart Cubes for Reliable and Faster Access to Data
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    Chapter 24 Optimizing Reaction and Processing Times in Automotive Industry’s Quality Management
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    Chapter 25 Using Closed n-set Patterns for Spatio-Temporal Classification
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    Chapter 26 Short Text Classification Using Semantic Random Forest
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    Chapter 27 Data Warehousing and Knowledge Discovery
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    Chapter 28 Mining Interesting “Following” Patterns from Social Networks
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    Chapter 29 A Novel Approach Using Context-Based Measure for Matching Large Scale Ontologies
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    Chapter 30 ActMiner: Discovering Location-Specific Activities from Community-Authored Reviews
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    Chapter 31 A Scalable Algorithm for Banded Pattern Mining in Multi-dimensional Zero-One Data
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    Chapter 32 Approximation of Frequent Itemset Border by Computing Approximate Minimal Hypergraph Transversals
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    Chapter 33 Clustering Based on Sequential Multi-Objective Games
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    Chapter 34 Opening up Data Analysis for Medical Health Services: Cancer Survival Analysis with CARESS
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    Chapter 35 “Real-time” Instance Selection for Biomedical Data Classification
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    Chapter 36 Mining Churning Factors in Indian Telecommunication Sector Using Social Media Analytics
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    Chapter 37 Drift Detector for Memory-Constrained Environments
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    Chapter 38 Mean Shift Clustering Algorithm for Data with Missing Values
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    Chapter 39 Mining Recurrent Concepts in Data Streams Using the Discrete Fourier Transform
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    Chapter 40 Semi-Supervised Learning to Support the Exploration of Association Rules
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    Chapter 41 Parameter-Free Extended Edit Distance
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    Chapter 42 VGEN: Fast Vertical Mining of Sequential Generator Patterns
Attention for Chapter 28: Mining Interesting “Following” Patterns from Social Networks
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Chapter title
Mining Interesting “Following” Patterns from Social Networks
Chapter number 28
Book title
Data Warehousing and Knowledge Discovery
Published by
Springer, Cham, September 2014
DOI 10.1007/978-3-319-10160-6_28
Book ISBNs
978-3-31-910159-0, 978-3-31-910160-6
Authors

Fan Jiang, Carson Kai-Sang Leung

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Professor 2 29%
Student > Ph. D. Student 1 14%
Student > Doctoral Student 1 14%
Student > Master 1 14%
Unknown 2 29%
Readers by discipline Count As %
Computer Science 3 43%
Business, Management and Accounting 1 14%
Unknown 3 43%