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Advances in Knowledge Discovery and Data Mining

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Advances in Knowledge Discovery and Data Mining
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    Chapter 2 Product and User Dependent Social Network Models for Recommender Systems
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    Chapter 3 Learning Representative Nodes in Social Networks
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    Chapter 4 Tracing Influential Nodes in a Social Network with Competing Information
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    Chapter 5 ViStruclizer: A Structural Visualizer for Multi-dimensional Social Networks
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    Chapter 6 Influential Nodes in a One-Wave Diffusion Model for Location-Based Social Networks
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    Chapter 7 Modeling Social Information Learning among Taxi Drivers
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    Chapter 8 Mining User Interests from Information Sharing Behaviors in Social Media
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    Chapter 9 Anonymization for Multiple Released Social Network Graphs
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    Chapter 10 A New, Fast and Accurate Algorithm for Hierarchical Clustering on Euclidean Distances
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    Chapter 11 Clustering Patient Medical Records via Sparse Subspace Representation
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    Chapter 12 A Unified Metric for Categorical and Numerical Attributes in Data Clustering
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    Chapter 13 An Extension of the Infinite Relational Model Incorporating Interaction between Objects
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    Chapter 14 Density-Based Clustering Based on Hierarchical Density Estimates
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    Chapter 15 Stock Trend Prediction by Classifying Aggregative Web Topic-Opinion
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    Chapter 16 The Role of Hubs in Cross-Lingual Supervised Document Retrieval
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    Chapter 17 Text Document Topical Recursive Clustering and Automatic Labeling of a Hierarchy of Document Clusters
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    Chapter 18 Query-Document Relevance Topic Models
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    Chapter 19 Advances in Knowledge Discovery and Data Mining
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    Chapter 20 Effective Top-Down Active Learning for Hierarchical Text Classification
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    Chapter 21 Forgetting Word Segmentation in Chinese Text Classification with L1-Regularized Logistic Regression
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    Chapter 22 Crest: Cluster-based Representation Enrichment for Short Text Classification
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    Chapter 23 Cross Language Prediction of Vandalism on Wikipedia Using Article Views and Revisions
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    Chapter 24 An Optimized Cost-Sensitive SVM for Imbalanced Data Learning
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    Chapter 25 A Positive-biased Nearest Neighbour Algorithm for Imbalanced Classification
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    Chapter 26 Class Based Weighted K-Nearest Neighbor over Imbalance Dataset
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    Chapter 27 ProWSyn: Proximity Weighted Synthetic Oversampling Technique for Imbalanced Data Set Learning
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    Chapter 28 Differential Privacy Preserving Spectral Graph Analysis
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    Chapter 29 Sorted Nearest Neighborhood Clustering for Efficient Private Blocking
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    Chapter 30 On Linear Refinement of Differential Privacy-Preserving Query Answering
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    Chapter 31 A Coupled Clustering Approach for Items Recommendation
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    Chapter 32 Location Recommendation Based on Periodicity of Human Activities and Location Categories
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    Chapter 33 Advances in Knowledge Discovery and Data Mining
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    Chapter 34 Semantic Title Evaluation and Recommendation Based on Topic Models
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    Chapter 35 Video Quality Prediction over Wireless 4G
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    Chapter 36 A Self-immunizing Manifold Ranking for Image Retrieval
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    Chapter 37 Low-Rank Matrix Recovery with Discriminant Regularization
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    Chapter 38 Multi-Manifold Ranking: Using Multiple Features for Better Image Retrieval
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    Chapter 39 One Pass Concept Change Detection for Data Streams
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    Chapter 40 Incremental Mining of Significant URLs in Real-Time and Large-Scale Social Streams
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    Chapter 41 A Concept-Drifting Detection Algorithm for Categorical Evolving Data
  43. Altmetric Badge
    Chapter 42 Framework for Storing and Processing Relational Entities in Stream Mining
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    Chapter 43 Advances in Knowledge Discovery and Data Mining
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    Chapter 44 Matrix Factorization With Aggregated Observations
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    Chapter 45 An Approach to Identifying False Traces in Process Event Logs
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    Chapter 46 Split-Merge Augmented Gibbs Sampling for Hierarchical Dirichlet Processes
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    Chapter 47 Adaptive Temporal Entity Resolution on Dynamic Databases
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    Chapter 48 Fuzzy Multi-Sphere Support Vector Data Description
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    Chapter 49 Erratum: A Coupled Clustering Approach for Items Recommendation
Attention for Chapter 14: Density-Based Clustering Based on Hierarchical Density Estimates
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog
twitter
1 tweeter
wikipedia
1 Wikipedia page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
488 Mendeley
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Chapter title
Density-Based Clustering Based on Hierarchical Density Estimates
Chapter number 14
Book title
Advances in Knowledge Discovery and Data Mining
Published in
Lecture notes in computer science, April 2013
DOI 10.1007/978-3-642-37456-2_14
Book ISBNs
978-3-64-237455-5, 978-3-64-237456-2
Authors

Ricardo J. G. B. Campello, Davoud Moulavi, Joerg Sander

Editors

Jian Pei, Vincent S. Tseng, Longbing Cao, Hiroshi Motoda, Guandong Xu

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 488 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Turkey 1 <1%
Sweden 1 <1%
Belgium 1 <1%
Unknown 483 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 152 31%
Student > Master 96 20%
Researcher 64 13%
Student > Bachelor 42 9%
Student > Doctoral Student 24 5%
Other 44 9%
Unknown 66 14%
Readers by discipline Count As %
Computer Science 172 35%
Engineering 63 13%
Agricultural and Biological Sciences 25 5%
Physics and Astronomy 23 5%
Biochemistry, Genetics and Molecular Biology 17 3%
Other 109 22%
Unknown 79 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 15 February 2021.
All research outputs
#2,171,069
of 17,733,079 outputs
Outputs from Lecture notes in computer science
#540
of 7,733 outputs
Outputs of similar age
#38,133
of 299,258 outputs
Outputs of similar age from Lecture notes in computer science
#46
of 317 outputs
Altmetric has tracked 17,733,079 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,733 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 93% 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 299,258 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 317 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.