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Data Warehousing and Knowledge Discovery

Overview of attention for book
Cover of 'Data Warehousing and Knowledge Discovery'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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
  33. Altmetric Badge
    Chapter 32 Mining Approximate Frequent Closed Flows over Packet Streams
  34. Altmetric Badge
    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
  37. Altmetric Badge
    Chapter 36 Moderated VFDT in Stream Mining Using Adaptive Tie Threshold and Incremental Pruning
  38. Altmetric Badge
    Chapter 37 Finding Critical Thresholds for Defining Bursts
Attention for Chapter 34: Concurrent Semi-supervised Learning of Data Streams
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Chapter title
Concurrent Semi-supervised Learning of Data Streams
Chapter number 34
Book title
Data Warehousing and Knowledge Discovery
Published in
Lecture notes in computer science, August 2011
DOI 10.1007/978-3-642-23544-3_34
Book ISBNs
978-3-64-223543-6, 978-3-64-223544-3
Authors

Hai-Long Nguyen, Wee-Keong Ng, Yew-Kwong Woon, Duc H. Tran, Nguyen, Hai-Long, Ng, Wee-Keong, Woon, Yew-Kwong, Tran, Duc H.

Mendeley readers

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 %
United Kingdom 1 14%
Malaysia 1 14%
Brazil 1 14%
Unknown 4 57%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 1 14%
Other 1 14%
Lecturer 1 14%
Student > Ph. D. Student 1 14%
Student > Master 1 14%
Other 1 14%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 6 86%
Unknown 1 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 February 2014.
All research outputs
#20,217,843
of 22,741,406 outputs
Outputs from Lecture notes in computer science
#6,982
of 8,126 outputs
Outputs of similar age
#114,099
of 124,347 outputs
Outputs of similar age from Lecture notes in computer science
#52
of 64 outputs
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So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.