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Data Mining and Knowledge Discovery Handbook

Overview of attention for book
Cover of 'Data Mining and Knowledge Discovery Handbook'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Knowledge Discovery and Data Mining
  3. Altmetric Badge
    Chapter 2 Data Cleansing: A Prelude to Knowledge Discovery
  4. Altmetric Badge
    Chapter 3 Handling Missing Attribute Values
  5. Altmetric Badge
    Chapter 4 Geometric Methods for Feature Extraction and Dimensional Reduction - A Guided Tour
  6. Altmetric Badge
    Chapter 5 Dimension Reduction and Feature Selection
  7. Altmetric Badge
    Chapter 6 Discretization Methods
  8. Altmetric Badge
    Chapter 7 Outlier Detection
  9. Altmetric Badge
    Chapter 8 Supervised Learning
  10. Altmetric Badge
    Chapter 9 Classification Trees
  11. Altmetric Badge
    Chapter 10 Bayesian Networks
  12. Altmetric Badge
    Chapter 11 Data Mining within a Regression Framework
  13. Altmetric Badge
    Chapter 12 Support Vector Machines
  14. Altmetric Badge
    Chapter 13 Rule Induction
  15. Altmetric Badge
    Chapter 14 A survey of Clustering Algorithms
  16. Altmetric Badge
    Chapter 15 Association Rules
  17. Altmetric Badge
    Chapter 16 Frequent Set Mining
  18. Altmetric Badge
    Chapter 17 Constraint-based Data Mining
  19. Altmetric Badge
    Chapter 18 Link Analysis
  20. Altmetric Badge
    Chapter 19 A Review of Evolutionary Algorithms for Data Mining
  21. Altmetric Badge
    Chapter 20 A Review of Reinforcement Learning Methods
  22. Altmetric Badge
    Chapter 21 Neural Networks For Data Mining
  23. Altmetric Badge
    Chapter 22 Granular Computing and Rough Sets - An Incremental Development
  24. Altmetric Badge
    Chapter 23 Pattern Clustering Using a Swarm Intelligence Approach
  25. Altmetric Badge
    Chapter 24 Using Fuzzy Logic in Data Mining
  26. Altmetric Badge
    Chapter 25 Statistical Methods for Data Mining
  27. Altmetric Badge
    Chapter 26 Logics for Data Mining
  28. Altmetric Badge
    Chapter 27 Wavelet Methods in Data Mining
  29. Altmetric Badge
    Chapter 28 Fractal Mining - Self Similarity-based Clustering and its Applications
  30. Altmetric Badge
    Chapter 29 Visual Analysis of Sequences Using Fractal Geometry
  31. Altmetric Badge
    Chapter 30 Interestingness Measures - On Determining What Is Interesting
  32. Altmetric Badge
    Chapter 31 Quality Assessment Approaches in Data Mining
  33. Altmetric Badge
    Chapter 32 Data Mining Model Comparison
  34. Altmetric Badge
    Chapter 33 Data Mining Query Languages
  35. Altmetric Badge
    Chapter 34 Mining Multi-label Data
  36. Altmetric Badge
    Chapter 35 Privacy in Data Mining
  37. Altmetric Badge
    Chapter 36 Meta-Learning - Concepts and Techniques
  38. Altmetric Badge
    Chapter 37 Bias vs Variance Decomposition for Regression and Classification
  39. Altmetric Badge
    Chapter 38 Mining with Rare Cases
  40. Altmetric Badge
    Chapter 39 Data Stream Mining
  41. Altmetric Badge
    Chapter 40 Mining Concept-Drifting Data Streams
  42. Altmetric Badge
    Chapter 41 Mining High-Dimensional Data
  43. Altmetric Badge
    Chapter 42 Text Mining and Information Extraction
  44. Altmetric Badge
    Chapter 43 Spatial Data Mining
  45. Altmetric Badge
    Chapter 44 Data Mining and Knowledge Discovery Handbook
  46. Altmetric Badge
    Chapter 45 Data Mining for Imbalanced Datasets: An Overview
  47. Altmetric Badge
    Chapter 46 Relational Data Mining
  48. Altmetric Badge
    Chapter 47 Web Mining
  49. Altmetric Badge
    Chapter 48 A Review of Web Document Clustering Approaches
  50. Altmetric Badge
    Chapter 49 Causal Discovery
  51. Altmetric Badge
    Chapter 50 Ensemble Methods in Supervised Learning
  52. Altmetric Badge
    Chapter 51 Data Mining using Decomposition Methods
  53. Altmetric Badge
    Chapter 52 Information Fusion - Methods and Aggregation Operators
  54. Altmetric Badge
    Chapter 53 Parallel and Grid-Based Data Mining – Algorithms, Models and Systems for High-Performance KDD
  55. Altmetric Badge
    Chapter 54 Collaborative Data Mining
  56. Altmetric Badge
    Chapter 55 Organizational Data Mining
  57. Altmetric Badge
    Chapter 56 Mining Time Series Data
  58. Altmetric Badge
    Chapter 57 Multimedia Data Mining
  59. Altmetric Badge
    Chapter 58 Data Mining in Medicine
  60. Altmetric Badge
    Chapter 59 Learning Information Patterns in Biological Databases - Stochastic Data Mining
  61. Altmetric Badge
    Chapter 60 Data Mining for Financial Applications
  62. Altmetric Badge
    Chapter 61 Data Mining for Intrusion Detection
  63. Altmetric Badge
    Chapter 62 Data Mining for CRM
  64. Altmetric Badge
    Chapter 63 Data Mining for Target Marketing
  65. Altmetric Badge
    Chapter 64 NHECD - Nano Health and Environmental Commented Database
  66. Altmetric Badge
    Chapter 65 Commercial Data Mining Software
  67. Altmetric Badge
    Chapter 66 Weka-A Machine Learning Workbench for Data Mining
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
twitter
4 X users
patent
6 patents
wikipedia
10 Wikipedia pages

Citations

dimensions_citation
580 Dimensions

Readers on

mendeley
832 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Data Mining and Knowledge Discovery Handbook
Published by
ADS, September 2010
DOI 10.1007/978-0-387-09823-4
ISBNs
978-0-387-09823-4, 978-0-387-09822-7
Editors

Oded Maimon, Lior Rokach

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 832 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 <1%
United Kingdom 5 <1%
Brazil 3 <1%
Spain 3 <1%
Malaysia 2 <1%
Germany 2 <1%
China 2 <1%
Canada 2 <1%
Italy 1 <1%
Other 16 2%
Unknown 789 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 196 24%
Student > Ph. D. Student 170 20%
Student > Bachelor 76 9%
Researcher 75 9%
Student > Doctoral Student 37 4%
Other 114 14%
Unknown 164 20%
Readers by discipline Count As %
Computer Science 377 45%
Engineering 101 12%
Business, Management and Accounting 27 3%
Agricultural and Biological Sciences 17 2%
Social Sciences 15 2%
Other 102 12%
Unknown 193 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 27 November 2023.
All research outputs
#1,672,925
of 26,017,215 outputs
Outputs from ADS
#670
of 26,744 outputs
Outputs of similar age
#5,671
of 109,093 outputs
Outputs of similar age from ADS
#2
of 334 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 26,744 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 97% 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 109,093 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 334 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.