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Advances in Data Mining. Applications and Theoretical Aspects

Overview of attention for book
Cover of 'Advances in Data Mining. Applications and Theoretical Aspects'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Moving Targets
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    Chapter 2 Bioinformatics Contributions to Data Mining
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    Chapter 3 Bootstrap Feature Selection for Ensemble Classifiers
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    Chapter 4 Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths
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    Chapter 5 Finding Irregularly Shaped Clusters Based on Entropy
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    Chapter 6 Fuzzy Conceptual Clustering
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    Chapter 7 Mining Concept Similarities for Heterogeneous Ontologies
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    Chapter 8 Re-mining Positive and Negative Association Mining Results
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    Chapter 9 Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining
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    Chapter 10 Describing Data with the Support Vector Shell in Distributed Environments
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    Chapter 11 Robust Clustering Using Discriminant Analysis
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    Chapter 12 New Approach in Data Stream Association Rule Mining Based on Graph Structure
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    Chapter 13 Fast Training of Neural Networks for Image Compression
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    Chapter 14 Processing Handwritten Words by Intelligent Use of OCR Results
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    Chapter 15 Saliency-Based Candidate Inspection Region Extraction in Tape Automated Bonding
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    Chapter 16 Image Classification Using Histograms and Time Series Analysis: A Study of Age-Related Macular Degeneration Screening in Retinal Image Data
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    Chapter 17 Entropic Quadtrees and Mining Mars Craters
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    Chapter 18 Hybrid DIAAF/RS: Statistical Textual Feature Selection for Language-Independent Text Classification
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    Chapter 19 Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders
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    Chapter 20 Comparison of Redundancy and Relevance Measures for Feature Selection in Tissue Classification of CT Images
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    Chapter 21 Quantile Regression Model for Impact Toughness Estimation
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    Chapter 22 Mining for Paths in Flow Graphs
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    Chapter 23 Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis
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    Chapter 24 Managing Product Life Cycle with MultiAgent Data Mining System
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    Chapter 25 Advances in Data Mining. Applications and Theoretical Aspects
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    Chapter 26 Determination of the Fault Quality Variables of a Multivariate Process Using Independent Component Analysis and Support Vector Machine
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    Chapter 27 Dynamic Pattern Extraction of Parameters in Laser Welding Process
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    Chapter 28 Trajectory Clustering for Vibration Detection in Aircraft Engines
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    Chapter 29 Episode Rule-Based Prognosis Applied to Complex Vacuum Pumping Systems Using Vibratory Data
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    Chapter 30 Predicting Disk Failures with HMM- and HSMM-Based Approaches
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    Chapter 31 Aircraft Engine Health Monitoring Using Self-Organizing Maps
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    Chapter 32 Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy
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    Chapter 33 Selection of High Risk Patients with Ranked Models Based on the CPL Criterion Functions
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    Chapter 34 Medical Datasets Analysis: A Constructive Induction Approach
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    Chapter 35 Regression Models for Spatial Data: An Example from Precision Agriculture
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    Chapter 36 Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database
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    Chapter 37 Spam Email Filtering Using Network-Level Properties
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    Chapter 38 Domain-Specific Identification of Topics and Trends in the Blogosphere
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    Chapter 39 Combining Business Process and Data Discovery Techniques for Analyzing and Improving Integrated Care Pathways
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    Chapter 40 Interest-Determining Web Browser
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    Chapter 41 Web-Site Boundary Detection
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    Chapter 42 An Application of Element Oriented Analysis Based Credit Scoring
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    Chapter 43 A Semi-supervised Approach for Reject Inference in Credit Scoring Using SVMs
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    Chapter 44 Data Mining with Neural Networks and Support Vector Machines Using the R/rminer Tool
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    Chapter 45 The Orange Customer Analysis Platform
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    Chapter 46 Semi-supervised Learning for False Alarm Reduction
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    Chapter 47 Learning from Humanoid Cartoon Designs
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    Chapter 48 Mining Relationship Associations from Knowledge about Failures Using Ontology and Inference
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    Chapter 49 Event Prediction in Network Monitoring Systems: Performing Sequential Pattern Mining in Osmius Monitoring Tool
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    Chapter 50 Selection of Effective Network Parameters in Attacks for Intrusion Detection
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
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

5 tweeters
1 Facebook page
1 Wikipedia page


11 Dimensions

Readers on

377 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.
Advances in Data Mining. Applications and Theoretical Aspects
Published by
Lecture notes in computer science, January 2010
DOI 10.1007/978-3-642-14400-4
978-3-64-214400-4, 978-3-64-214399-1

Petra Perner

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 377 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 1%
Brazil 3 <1%
Canada 2 <1%
Iran, Islamic Republic of 2 <1%
Portugal 1 <1%
Latvia 1 <1%
Italy 1 <1%
Sweden 1 <1%
France 1 <1%
Other 4 1%
Unknown 356 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 95 25%
Student > Ph. D. Student 85 23%
Student > Bachelor 48 13%
Researcher 33 9%
Student > Postgraduate 25 7%
Other 48 13%
Unknown 43 11%
Readers by discipline Count As %
Computer Science 163 43%
Engineering 64 17%
Business, Management and Accounting 38 10%
Social Sciences 11 3%
Economics, Econometrics and Finance 8 2%
Other 36 10%
Unknown 57 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 28 May 2021.
All research outputs
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Outputs from Lecture notes in computer science
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Outputs of similar age
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Outputs of similar age from Lecture notes in computer science
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Altmetric has tracked 17,882,239 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,737 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 79% 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 274,976 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 72% of its contemporaries.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.