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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 ETLDiff: A Semi-automatic Framework for Regression Test of ETL Software
  3. Altmetric Badge
    Chapter 2 Applying Transformations to Model Driven Data Warehouses
  4. Altmetric Badge
    Chapter 3 Bulk Loading a Linear Hash File
  5. Altmetric Badge
    Chapter 4 Dynamic View Selection for OLAP
  6. Altmetric Badge
    Chapter 5 Preview: Optimizing View Materialization Cost in Spatial Data Warehouses
  7. Altmetric Badge
    Chapter 6 Preprocessing for Fast Refreshing Materialized Views in DB2
  8. Altmetric Badge
    Chapter 7 A Multiversion-Based Multidimensional Model
  9. Altmetric Badge
    Chapter 8 Towards Multidimensional Requirement Design
  10. Altmetric Badge
    Chapter 9 Multidimensional Design by Examples
  11. Altmetric Badge
    Chapter 10 Extending Visual OLAP for Handling Irregular Dimensional Hierarchies
  12. Altmetric Badge
    Chapter 11 A Hierarchy-Driven Compression Technique for Advanced OLAP Visualization of Multidimensional Data Cubes
  13. Altmetric Badge
    Chapter 12 Analysing Multi-dimensional Data Across Autonomous Data Warehouses
  14. Altmetric Badge
    Chapter 13 What Time Is It in the Data Warehouse?
  15. Altmetric Badge
    Chapter 14 Computing Iceberg Quotient Cubes with Bounding
  16. Altmetric Badge
    Chapter 15 An Effective Algorithm to Extract Dense Sub-cubes from a Large Sparse Cube
  17. Altmetric Badge
    Chapter 16 On the Computation of Maximal-Correlated Cuboids Cells
  18. Altmetric Badge
    Chapter 17 Warehousing Dynamic XML Documents
  19. Altmetric Badge
    Chapter 18 Integrating Different Grain Levels in a Medical Data Warehouse Federation
  20. Altmetric Badge
    Chapter 19 A Versioning Management Model for Ontology-Based Data Warehouses
  21. Altmetric Badge
    Chapter 20 Data Warehouses in Grids with High QoS
  22. Altmetric Badge
    Chapter 21 Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods
  23. Altmetric Badge
    Chapter 22 Efficient Mining of Dissociation Rules
  24. Altmetric Badge
    Chapter 23 Optimized Rule Mining Through a Unified Framework for Interestingness Measures
  25. Altmetric Badge
    Chapter 24 An Information-Theoretic Framework for Process Structure and Data Mining
  26. Altmetric Badge
    Chapter 25 Mixed Decision Trees: An Evolutionary Approach
  27. Altmetric Badge
    Chapter 26 ITER: An Algorithm for Predictive Regression Rule Extraction
  28. Altmetric Badge
    Chapter 27 COBRA: Closed Sequential Pattern Mining Using Bi-phase Reduction Approach
  29. Altmetric Badge
    Chapter 28 A Greedy Approach to Concurrent Processing of Frequent Itemset Queries
  30. Altmetric Badge
    Chapter 29 Two New Techniques for Hiding Sensitive Itemsets and Their Empirical Evaluation
  31. Altmetric Badge
    Chapter 30 EStream: Online Mining of Frequent Sets with Precise Error Guarantee
  32. Altmetric Badge
    Chapter 31 Granularity Adaptive Density Estimation and on Demand Clustering of Concept-Drifting Data Streams
  33. Altmetric Badge
    Chapter 32 Classification of Hidden Network Streams
  34. Altmetric Badge
    Chapter 33 Adaptive Load Shedding for Mining Frequent Patterns from Data Streams
  35. Altmetric Badge
    Chapter 34 An Approximate Approach for Mining Recently Frequent Itemsets from Data Streams
  36. Altmetric Badge
    Chapter 35 Learning Classifiers from Distributed, Ontology-Extended Data Sources
  37. Altmetric Badge
    Chapter 36 A Coherent Biomedical Literature Clustering and Summarization Approach Through Ontology-Enriched Graphical Representations
  38. Altmetric Badge
    Chapter 37 Automatic Extraction for Creating a Lexical Repository of Abbreviations in the Biomedical Literature
  39. Altmetric Badge
    Chapter 38 Priority-Based k-Anonymity Accomplished by Weighted Generalisation Structures
  40. Altmetric Badge
    Chapter 39 Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures
  41. Altmetric Badge
    Chapter 40 Calculation of Density-Based Clustering Parameters Supported with Distributed Processing
  42. Altmetric Badge
    Chapter 41 Cluster-Based Sampling Approaches to Imbalanced Data Distributions
  43. Altmetric Badge
    Chapter 42 Efficient Mining of Large Maximal Bicliques
  44. Altmetric Badge
    Chapter 43 Automatic Image Annotation by Mining the Web
  45. Altmetric Badge
    Chapter 44 Privacy Preserving Spatio-Temporal Clustering on Horizontally Partitioned Data
  46. Altmetric Badge
    Chapter 45 Discovering Semantic Sibling Associations from Web Documents with XTREEM-SP
  47. Altmetric Badge
    Chapter 46 Difference Detection Between Two Contrast Sets
  48. Altmetric Badge
    Chapter 47 EGEA : A New Hybrid Approach Towards Extracting Reduced Generic Association Rule Set (Application to AML Blood Cancer Therapy)
  49. Altmetric Badge
    Chapter 48 AISS: An Index for Non-timestamped Set Subsequence Queries
  50. Altmetric Badge
    Chapter 49 A Method for Feature Selection on Microarray Data Using Support Vector Machine
  51. Altmetric Badge
    Chapter 50 Providing Persistence for Sensor Data Streams by Remote WAL
  52. Altmetric Badge
    Chapter 51 Support Vector Machine Approach for Fast Classification
  53. Altmetric Badge
    Chapter 52 Document Representations for Classification of Short Web-Page Descriptions
  54. Altmetric Badge
    Chapter 53 GARC: A New Associative Classification Approach
  55. Altmetric Badge
    Chapter 54 Conceptual Modeling for Classification Mining in Data Warehouses
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

patent
1 patent
facebook
1 Facebook page

Readers on

mendeley
20 Mendeley
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Title
Data Warehousing and Knowledge Discovery
Published by
Lecture notes in computer science, January 2006
DOI 10.1007/11823728
Pubmed ID
ISBNs
978-3-54-037736-8, 978-3-54-037737-5
Authors

Caragea D, Zhang J, Pathak J, Honavar V

Editors

A Min Tjoa, Juan Trujillo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 35%
Researcher 3 15%
Unspecified 2 10%
Professor > Associate Professor 2 10%
Other 2 10%
Other 3 15%
Unknown 1 5%
Readers by discipline Count As %
Computer Science 12 60%
Unspecified 2 10%
Business, Management and Accounting 2 10%
Agricultural and Biological Sciences 1 5%
Social Sciences 1 5%
Other 1 5%
Unknown 1 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 03 November 2012.
All research outputs
#7,240,909
of 22,880,691 outputs
Outputs from Lecture notes in computer science
#2,399
of 8,129 outputs
Outputs of similar age
#39,288
of 154,652 outputs
Outputs of similar age from Lecture notes in computer science
#45
of 146 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 69% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 154,652 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.