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Advances in Intelligent Data Analysis VIII

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Intelligent Data Analysis in the 21st Century
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    Chapter 2 Analyzing the Localization of Retail Stores with Complex Systems Tools
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    Chapter 3 Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams
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    Chapter 4 Exploiting Data Missingness in Bayesian Network Modeling
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    Chapter 5 DEMScale: Large Scale MDS Accounting for a Ridge Operator and Demographic Variables
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    Chapter 6 How to Control Clustering Results? Flexible Clustering Aggregation
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    Chapter 7 Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation
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    Chapter 8 Context-Based Distance Learning for Categorical Data Clustering
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    Chapter 9 Semi-supervised Text Classification Using RBF Networks
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    Chapter 10 Improving k -NN for Human Cancer Classification Using the Gene Expression Profiles
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    Chapter 11 Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis
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    Chapter 12 Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases
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    Chapter 13 Leveraging Call Center Logs for Customer Behavior Prediction
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    Chapter 14 Condensed Representation of Sequential Patterns According to Frequency-Based Measures
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    Chapter 15 ART-Based Neural Networks for Multi-label Classification
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    Chapter 16 Two-Way Grouping by One-Way Topic Models
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    Chapter 17 Selecting and Weighting Data for Building Consensus Gene Regulatory Networks
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    Chapter 18 Incremental Bayesian Network Learning for Scalable Feature Selection
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    Chapter 19 Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring
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    Chapter 20 Zero-Inflated Boosted Ensembles for Rare Event Counts
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    Chapter 21 Mining the Temporal Dimension of the Information Propagation
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    Chapter 22 Adaptive Learning from Evolving Data Streams
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    Chapter 23 An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset
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    Chapter 24 Which Distance for the Identification and the Differentiation of Cell-Cycle Expressed Genes?
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    Chapter 25 Ontology-Driven KDD Process Composition
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    Chapter 26 Mining Frequent Gradual Itemsets from Large Databases
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    Chapter 27 Selecting Computer Architectures by Means of Control-Flow-Graph Mining
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    Chapter 28 Visualization-Driven Structural and Statistical Analysis of Turbulent Flows
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    Chapter 29 Distributed Algorithm for Computing Formal Concepts Using Map-Reduce Framework
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    Chapter 30 Multi-Optimisation Consensus Clustering
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    Chapter 31 Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences
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    Chapter 32 Measure of Similarity and Compactness in Competitive Space
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    Chapter 33 Bayesian Solutions to the Label Switching Problem
  35. Altmetric Badge
    Chapter 34 Efficient Vertical Mining of Frequent Closures and Generators
  36. Altmetric Badge
    Chapter 35 Isotonic Classification Trees
Overall attention for this book and its chapters
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Mentioned by

wikipedia
1 Wikipedia page

Citations

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5 Dimensions

Readers on

mendeley
27 Mendeley
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Title
Advances in Intelligent Data Analysis VIII
Published by
ADS, August 2009
DOI 10.1007/978-3-642-03915-7
ISBNs
978-3-64-203914-0, 978-3-64-203915-7
Editors

Adams, Niall M., Robardet, Céline, Siebes, Arno, Boulicaut, Jean-François

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 4%
Slovenia 1 4%
Brazil 1 4%
Unknown 24 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 30%
Student > Master 6 22%
Researcher 3 11%
Student > Doctoral Student 1 4%
Professor > Associate Professor 1 4%
Other 1 4%
Unknown 7 26%
Readers by discipline Count As %
Computer Science 10 37%
Engineering 7 26%
Agricultural and Biological Sciences 1 4%
Business, Management and Accounting 1 4%
Decision Sciences 1 4%
Other 1 4%
Unknown 6 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 August 2010.
All research outputs
#7,531,132
of 22,979,862 outputs
Outputs from ADS
#9,302
of 37,421 outputs
Outputs of similar age
#37,315
of 109,863 outputs
Outputs of similar age from ADS
#118
of 389 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,421 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 29th percentile – i.e., 29% 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 109,863 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 389 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.