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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 New Challenges in Information Integration
  3. Altmetric Badge
    Chapter 2 What Is Spatio-Temporal Data Warehousing?
  4. Altmetric Badge
    Chapter 3 Towards a Modernization Process for Secure Data Warehouses
  5. Altmetric Badge
    Chapter 4 Visual Modelling of Data Warehousing Flows with UML Profiles
  6. Altmetric Badge
    Chapter 5 CAMS: OLAPing Multidimensional Data Streams Efficiently
  7. Altmetric Badge
    Chapter 6 Data Stream Prediction Using Incremental Hidden Markov Models
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    Chapter 7 History Guided Low-Cost Change Detection in Streams
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    Chapter 8 HOBI: Hierarchically Organized Bitmap Index for Indexing Dimensional Data
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    Chapter 9 A Joint Design Approach of Partitioning and Allocation in Parallel Data Warehouses
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    Chapter 10 Fast Loads and Fast Queries
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    Chapter 11 TidFP: Mining Frequent Patterns in Different Databases with Transaction ID
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    Chapter 12 Non-Derivable Item Set and Non-Derivable Literal Set Representations of Patterns Admitting Negation
  14. Altmetric Badge
    Chapter 13 Which Is Better for Frequent Pattern Mining: Approximate Counting or Sampling?
  15. Altmetric Badge
    Chapter 14 A Fast Feature-Based Method to Detect Unusual Patterns in Multidimensional Datasets
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    Chapter 15 Efficient Online Aggregates in Dense-Region-Based Data Cube Representations
  17. Altmetric Badge
    Chapter 16 BitCube: A Bottom-Up Cubing Engineering
  18. Altmetric Badge
    Chapter 17 Exact and Approximate Sizes of Convex Datacubes
  19. Altmetric Badge
    Chapter 18 Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures
  20. Altmetric Badge
    Chapter 19 Customer Churn Prediction for Broadband Internet Services
  21. Altmetric Badge
    Chapter 20 Mining High-Correlation Association Rules for Inferring Gene Regulation Networks
  22. Altmetric Badge
    Chapter 21 Extend UDF Technology for Integrated Analytics
  23. Altmetric Badge
    Chapter 22 High Performance Analytics with the R 3 -Cache
  24. Altmetric Badge
    Chapter 23 Open Source BI Platforms: A Functional and Architectural Comparison
  25. Altmetric Badge
    Chapter 24 Ontology-Based Exchange and Immediate Application of Business Calculation Definitions for Online Analytical Processing
  26. Altmetric Badge
    Chapter 25 Skyline View: Efficient Distributed Subspace Skyline Computation
  27. Altmetric Badge
    Chapter 26 HDB-Subdue: A Scalable Approach to Graph Mining
  28. Altmetric Badge
    Chapter 27 Mining Violations to Relax Relational Database Constraints
  29. Altmetric Badge
    Chapter 28 Arguing from Experience to Classifying Noisy Data
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    Chapter 29 Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data
  31. Altmetric Badge
    Chapter 30 The PDG-Mixture Model for Clustering
  32. Altmetric Badge
    Chapter 31 Clustering for Video Retrieval
  33. Altmetric Badge
    Chapter 32 Trends Analysis of Topics Based on Temporal Segmentation
  34. Altmetric Badge
    Chapter 33 Finding N-Most Prevalent Colocated Event Sets
  35. Altmetric Badge
    Chapter 34 Rule Learning with Probabilistic Smoothing
  36. Altmetric Badge
    Chapter 35 Missing Values: Proposition of a Typology and Characterization with an Association Rule-Based Model
  37. Altmetric Badge
    Chapter 36 Recommending Multidimensional Queries
  38. Altmetric Badge
    Chapter 37 Preference-Based Recommendations for OLAP Analysis
Overall attention for this book and its chapters
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Mentioned by

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2 X users
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Readers on

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4 Mendeley
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Title
Data Warehousing and Knowledge Discovery
Published by
ADS, August 2009
DOI 10.1007/978-3-642-03730-6
ISBNs
978-3-64-203729-0, 978-3-64-203730-6
Editors

Pedersen, Torben Bach, Mohania, Mukesh K., Tjoa, A Min

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 75%
Researcher 3 75%
Student > Master 2 50%
Student > Postgraduate 1 25%
Professor 1 25%
Other 2 50%
Readers by discipline Count As %
Computer Science 4 100%
Mathematics 2 50%
Medicine and Dentistry 2 50%
Business, Management and Accounting 1 25%
Environmental Science 1 25%
Other 2 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 December 2017.
All research outputs
#14,103,984
of 23,041,514 outputs
Outputs from ADS
#27,490
of 37,451 outputs
Outputs of similar age
#91,494
of 109,975 outputs
Outputs of similar age from ADS
#326
of 388 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,451 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 109,975 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 388 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.