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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 Discovering Local Subgroups, with an Application to Fraud Detection
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    Chapter 2 PUF-Tree: A Compact Tree Structure for Frequent Pattern Mining of Uncertain Data
  4. Altmetric Badge
    Chapter 3 Frequent Pattern Mining in Attributed Trees
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    Chapter 4 Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs
  6. Altmetric Badge
    Chapter 5 ClaSP: An Efficient Algorithm for Mining Frequent Closed Sequences
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    Chapter 6 Efficient Mining of Contrast Patterns on Large Scale Imbalanced Real-Life Data
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    Chapter 7 Online Cross-Lingual PLSI for Evolutionary Theme Patterns Analysis
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    Chapter 8 F-Trail: Finding Patterns in Taxi Trajectories
  10. Altmetric Badge
    Chapter 9 Mining Appliance Usage Patterns in Smart Home Environment
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    Chapter 10 Computational Models of Stress in Reading Using Physiological and Physical Sensor Data
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    Chapter 11 Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine
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    Chapter 12 MassBayes: A New Generative Classifier with Multi-dimensional Likelihood Estimation
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    Chapter 13 Fast and Effective Single Pass Bayesian Learning
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    Chapter 14 Sparse Reductions for Fixed-Size Least Squares Support Vector Machines on Large Scale Data
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    Chapter 15 Discovery of Regional Co-location Patterns with k-Nearest Neighbor Graph
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    Chapter 16 Spectral Decomposition for Optimal Graph Index Prediction
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    Chapter 17 Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model
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    Chapter 18 Node Classification in Social Network via a Factor Graph Model
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    Chapter 19 Advances in Knowledge Discovery and Data Mining
  21. Altmetric Badge
    Chapter 20 Mining Interesting Itemsets in Graph Datasets
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    Chapter 21 Robust Synchronization-Based Graph Clustering
  23. Altmetric Badge
    Chapter 22 Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors
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    Chapter 23 Exploiting Temporal Information in a Two-Stage Classification Framework for Content-Based Depression Detection
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    Chapter 24 EEG-Based Person Verification Using Multi-Sphere SVDD and UBM
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    Chapter 25 Measuring Reproducibility of High-Throughput Deep-Sequencing Experiments Based on Self-adaptive Mixture Copula
  27. Altmetric Badge
    Chapter 26 Mining Representative Movement Patterns through Compression
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    Chapter 27 NARGES: Prediction Model for Informed Routing in a Communications Network
  29. Altmetric Badge
    Chapter 28 Mining Usage Traces of Mobile Apps for Dynamic Preference Prediction
  30. Altmetric Badge
    Chapter 29 Leveraging Hybrid Citation Context for Impact Summarization
  31. Altmetric Badge
    Chapter 30 Optimal Allocation of High Dimensional Assets through Canonical Vines
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    Chapter 31 Inducing Context Gazetteers from Encyclopedic Databases for Named Entity Recognition
  33. Altmetric Badge
    Chapter 32 An Optimization Method for Proportionally Diversifying Search Results
  34. Altmetric Badge
    Chapter 33 Joint Naïve Bayes and LDA for Unsupervised Sentiment Analysis
  35. Altmetric Badge
    Chapter 34 An Unsupervised Learning Model to Perform Side Channel Attack
  36. Altmetric Badge
    Chapter 35 Decisive Supervised Learning
  37. Altmetric Badge
    Chapter 36 Learning Overlap Optimization for Domain Decomposition Methods
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    Chapter 37 CLUEKR : CLUstering Based Efficient kNN Regression
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    Chapter 38 AREM: A Novel Associative Regression Model Based on EM Algorithm
  40. Altmetric Badge
    Chapter 39 One-Class Transfer Learning with Uncertain Data
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    Chapter 40 Time Series Forecasting Using Distribution Enhanced Linear Regression
  42. Altmetric Badge
    Chapter 41 Twin Bridge Transfer Learning for Sparse Collaborative Filtering
  43. Altmetric Badge
    Chapter 42 Dimensionality Reduction with Dimension Selection
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    Chapter 43 Multi-View Visual Classification via a Mixed-Norm Regularizer
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    Chapter 44 Mining Specific Features for Acquiring User Information Needs
  46. Altmetric Badge
    Chapter 45 Ensemble-Based Wrapper Methods for Feature Selection and Class Imbalance Learning
  47. Altmetric Badge
    Chapter 46 Advances in Knowledge Discovery and Data Mining
  48. Altmetric Badge
    Chapter 47 Multiplex Topic Models
  49. Altmetric Badge
    Chapter 48 Integrating Clustering and Ranking on Hybrid Heterogeneous Information Network
  50. Altmetric Badge
    Chapter 49 Learning from Multiple Observers with Unknown Expertise
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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
99 Mendeley
Summary News X Dimensions citations
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
Advances in Knowledge Discovery and Data Mining
Published by
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-37453-1
ISBNs
978-3-64-237452-4, 978-3-64-237453-1
Authors

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

Editors

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

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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
China 2 2%
United Kingdom 1 1%
Unknown 94 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 31%
Student > Master 27 27%
Researcher 11 11%
Student > Bachelor 9 9%
Student > Doctoral Student 6 6%
Other 16 16%
Readers by discipline Count As %
Computer Science 46 46%
Engineering 18 18%
Unspecified 8 8%
Business, Management and Accounting 5 5%
Mathematics 5 5%
Other 18 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 21 March 2019.
All research outputs
#2,965,754
of 22,971,207 outputs
Outputs from Lecture notes in computer science
#639
of 8,141 outputs
Outputs of similar age
#31,387
of 282,026 outputs
Outputs of similar age from Lecture notes in computer science
#29
of 315 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,141 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 91% 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 282,026 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 88% of its contemporaries.
We're also able to compare this research output to 315 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 90% of its contemporaries.

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