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Advances in Intelligent Data Analysis V

Overview of attention for book
Cover of 'Advances in Intelligent Data Analysis V'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Pruning for Monotone Classification Trees
  3. Altmetric Badge
    Chapter 2 Regularized Learning with Flexible Constraints
  4. Altmetric Badge
    Chapter 3 Learning to Answer Emails
  5. Altmetric Badge
    Chapter 4 A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
  6. Altmetric Badge
    Chapter 5 Using Domain Specific Knowledge for Automated Modeling
  7. Altmetric Badge
    Chapter 6 Resolving Rule Conflicts with Double Induction
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    Chapter 7 A Novel Partial-Memory Learning Algorithm Based on Grey Relational Structure
  9. Altmetric Badge
    Chapter 8 Constructing Hierarchical Rule Systems
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    Chapter 9 Text Categorization Using Hybrid Multiple Model Schemes
  11. Altmetric Badge
    Chapter 10 Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
  12. Altmetric Badge
    Chapter 11 Topology and Intelligent Data Analysis
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    Chapter 12 Coherent Conditional Probability as a Measure of Information of the Relevant Conditioning Events
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    Chapter 13 Very Predictive Ngrams for Space-Limited Probabilistic Models
  15. Altmetric Badge
    Chapter 14 Interval Estimation Naïve Bayes
  16. Altmetric Badge
    Chapter 15 Mining Networks and Central Entities in Digital Libraries. A Graph Theoretic Approach Applied to Co-author Networks
  17. Altmetric Badge
    Chapter 16 Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs
  18. Altmetric Badge
    Chapter 17 An Effective Associative Memory for Pattern Recognition
  19. Altmetric Badge
    Chapter 18 Similarity Based Classification
  20. Altmetric Badge
    Chapter 19 Numerical Attributes in Decision Trees: A Hierarchical Approach
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    Chapter 20 Similarity-Based Neural Networks for Applications in Computational Molecular Biology
  22. Altmetric Badge
    Chapter 21 Combining Pairwise Classifiers with Stacking
  23. Altmetric Badge
    Chapter 22 APRIORI-SD: Adapting Association Rule Learning to Subgroup Discovery
  24. Altmetric Badge
    Chapter 23 Solving Classification Problems Using Infix Form Genetic Programming
  25. Altmetric Badge
    Chapter 24 What Is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzifier
  26. Altmetric Badge
    Chapter 25 A Mixture Model Approach for Binned Data Clustering
  27. Altmetric Badge
    Chapter 26 Fuzzy Clustering Based Segmentation of Time-Series
  28. Altmetric Badge
    Chapter 27 An Iterated Local Search Approach for Minimum Sum-of-Squares Clustering
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    Chapter 28 Data Clustering in Tolerance Space
  30. Altmetric Badge
    Chapter 29 Refined Shared Nearest Neighbors Graph for Combining Multiple Data Clusterings
  31. Altmetric Badge
    Chapter 30 Clustering Mobile Trajectories for Resource Allocation in Mobile Environments
  32. Altmetric Badge
    Chapter 31 Fuzzy Clustering of Short Time-Series and Unevenly Distributed Sampling Points
  33. Altmetric Badge
    Chapter 32 Combining and Comparing Cluster Methods in a Receptor Database
  34. Altmetric Badge
    Chapter 33 Selective Sampling with a Hierarchical Latent Variable Model
  35. Altmetric Badge
    Chapter 34 Obtaining Quality Microarray Data via Image Reconstruction
  36. Altmetric Badge
    Chapter 35 Large Scale Mining of Molecular Fragments with Wildcards
  37. Altmetric Badge
    Chapter 36 Genome-Wide Prokaryotic Promoter Recognition Based on Sequence Alignment Kernel
  38. Altmetric Badge
    Chapter 37 Towards Automated Electrocardiac Map Interpretation: An Intelligent Contouring Tool Based on Spatial Aggregation
  39. Altmetric Badge
    Chapter 38 Study of Canada/US Dollar Exchange Rate Movements Using Recurrent Neural Network Model of FX-Market
  40. Altmetric Badge
    Chapter 39 Gaussian Mixture Density Estimation Applied to Microarray Data
  41. Altmetric Badge
    Chapter 40 Classification of Protein Localisation Patterns via Supervised Neural Network Learning
  42. Altmetric Badge
    Chapter 41 Applying Intelligent Data Analysis to Coupling Relationships in Object-Oriented Software
  43. Altmetric Badge
    Chapter 42 The Smaller the Better: Comparison of Two Approaches for Sales Rate Prediction
  44. Altmetric Badge
    Chapter 43 A Multiagent-Based Constructive Approach for Feedforward Neural Networks
  45. Altmetric Badge
    Chapter 44 Evolutionary System Identification via Descriptive Takagi Sugeno Fuzzy Systems
  46. Altmetric Badge
    Chapter 45 Minimum Message Length Criterion for Second-Order Polynomial Model Selection Applied to Tropical Cyclone Intensity Forecasting
  47. Altmetric Badge
    Chapter 46 On the Use of the GTM Algorithm for Mode Detection
  48. Altmetric Badge
    Chapter 47 Regularization Methods for Additive Models
  49. Altmetric Badge
    Chapter 48 Automated Detection of Influenza Epidemics with Hidden Markov Models
  50. Altmetric Badge
    Chapter 49 Guided Incremental Construction of Belief Networks
  51. Altmetric Badge
    Chapter 50 Distributed Regression for Heterogeneous Data Sets
  52. Altmetric Badge
    Chapter 51 A Logical Formalisation of the Fellegi-Holt Method of Data Cleaning
  53. Altmetric Badge
    Chapter 52 Compression Technique Preserving Correlations of a Multivariate Temporal Sequence
  54. Altmetric Badge
    Chapter 53 Condensed Representations in Presence of Missing Values
  55. Altmetric Badge
    Chapter 54 Measures of Rule Quality for Feature Selection in Text Categorization
  56. Altmetric Badge
    Chapter 55 Genetic Approach to Constructive Induction Based on Non-algebraic Feature Representation
  57. Altmetric Badge
    Chapter 56 Active Feature Selection Based on a Very Limited Number of Entities
Overall attention for this book and its chapters
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Mentioned by

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1 X user

Citations

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4 Dimensions

Readers on

mendeley
44 Mendeley
Summary X Dimensions citations
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Title
Advances in Intelligent Data Analysis V
Published by
ADS, January 2003
DOI 10.1007/978-3-540-45231-7
ISBNs
978-3-54-040813-0, 978-3-54-045231-7
Authors

Cohen, Paul R., Sutton, Charles A.

Editors

Michael R. Berthold, Hans-Joachim Lenz, Elizabeth Bradley, Rudolf Kruse, Christian Borgelt

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 5%
Researcher 1 2%
Student > Master 1 2%
Unknown 40 91%
Readers by discipline Count As %
Engineering 2 5%
Computer Science 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Unknown 40 91%
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 23 June 2017.
All research outputs
#18,449,393
of 22,858,915 outputs
Outputs from ADS
#31,524
of 37,386 outputs
Outputs of similar age
#124,398
of 129,321 outputs
Outputs of similar age from ADS
#626
of 661 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,386 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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We're also able to compare this research output to 661 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.

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