↓ Skip to main content

Advanced Data Mining and Applications

Overview of attention for book
Cover of 'Advanced Data Mining and Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Mining E-Commerce Feedback Comments for Dimension Rating Profiles
  3. Altmetric Badge
    Chapter 2 Generating Domain-Specific Sentiment Lexicons for Opinion Mining
  4. Altmetric Badge
    Chapter 3 Effective Comment Sentence Recognition for Feature-Based Opinion Mining
  5. Altmetric Badge
    Chapter 4 Exploiting Co-occurrence Opinion Words for Semi-supervised Sentiment Classification
  6. Altmetric Badge
    Chapter 5 HN-Sim: A Structural Similarity Measure over Object-Behavior Networks
  7. Altmetric Badge
    Chapter 6 Community Based User Behavior Analysis on Daily Mobile Internet Usage
  8. Altmetric Badge
    Chapter 7 Tracking Drift Types in Changing Data Streams
  9. Altmetric Badge
    Chapter 8 Continuously Extracting High-Quality Representative Set from Massive Data Streams
  10. Altmetric Badge
    Chapter 9 Change Itemset Mining in Data Streams
  11. Altmetric Badge
    Chapter 10 TKS: Efficient Mining of Top-K Sequential Patterns
  12. Altmetric Badge
    Chapter 11 When Optimization Is Just an Illusion
  13. Altmetric Badge
    Chapter 12 Accurate and Fast Dynamic Time Warping
  14. Altmetric Badge
    Chapter 13 Online Detecting Spreading Events with the Spatio-temporal Relationship in Water Distribution Networks
  15. Altmetric Badge
    Chapter 14 MLSP: Mining Hierarchically-Closed Multi-Level Sequential Patterns
  16. Altmetric Badge
    Chapter 15 Mining Maximal Sequential Patterns without Candidate Maintenance
  17. Altmetric Badge
    Chapter 16 Improved Slope One Collaborative Filtering Predictor Using Fuzzy Clustering
  18. Altmetric Badge
    Chapter 17 Towards Building Virtual Vocabularies in the Semantic Web
  19. Altmetric Badge
    Chapter 18 Web Mining Accelerated with In-Memory and Column Store Technology
  20. Altmetric Badge
    Chapter 19 Constructing a Novel Pos-neg Manifold for Global-Based Image Classification
  21. Altmetric Badge
    Chapter 20 3-D MRI Brain Scan Feature Classification Using an Oct-Tree Representation
  22. Altmetric Badge
    Chapter 21 Biometric Template Protection Based on Biometric Certificate and Fuzzy Fingerprint Vault
  23. Altmetric Badge
    Chapter 22 A Comparative Study of Three Image Representations for Population Estimation Mining Using Remote Sensing Imagery
  24. Altmetric Badge
    Chapter 23 Mixed-Norm Regression for Visual Classification
  25. Altmetric Badge
    Chapter 24 Research on Map Matching Based on Hidden Markov Model
  26. Altmetric Badge
    Chapter 25 A Rule-Based Named-Entity Recognition for Malay Articles
  27. Altmetric Badge
    Chapter 26 Small Is Powerful! Towards a Refinedly Enriched Ontology by Careful Pruning and Trimming
  28. Altmetric Badge
    Chapter 27 Refine the Corpora Based on Document Manifold
  29. Altmetric Badge
    Chapter 28 Online Friends Recommendation Based on Geographic Trajectories and Social Relations
  30. Altmetric Badge
    Chapter 29 The Spontaneous Behavior in Extreme Events: A Clustering-Based Quantitative Analysis
  31. Altmetric Badge
    Chapter 30 Restoring: A Greedy Heuristic Approach Based on Neighborhood for Correlation Clustering
  32. Altmetric Badge
    Chapter 31 A Local Greedy Search Method for Detecting Community Structure in Weighted Social Networks
  33. Altmetric Badge
    Chapter 32 Tree-Based Mining for Discovering Patterns of Reposting Behavior in Microblog
  34. Altmetric Badge
    Chapter 33 An Improved Parallel Hybrid Seed Expansion (PHSE) Method for Detecting Highly Overlapping Communities in Social Networks
  35. Altmetric Badge
    Chapter 34 A Simple Integration of Social Relationship and Text Data for Identifying Potential Customers in Microblogging
  36. Altmetric Badge
    Chapter 35 An Energy Model for Network Community Structure Detection
  37. Altmetric Badge
    Chapter 36 A Label Propagation-Based Algorithm for Community Discovery in Online Social Networks
  38. Altmetric Badge
    Chapter 37 Mining Twitter Data for Potential Drug Effects
  39. Altmetric Badge
    Chapter 38 Social-Correlation Based Mutual Reinforcement for Short Text Classification and User Interest Tagging
  40. Altmetric Badge
    Chapter 39 Graph Based Feature Augmentation for Short and Sparse Text Classification
  41. Altmetric Badge
    Chapter 40 Exploring Deep Belief Nets to Detect and Categorize Chinese Entities
  42. Altmetric Badge
    Chapter 41 Extracting Novel Features for E-Commerce Page Quality Classification
  43. Altmetric Badge
    Chapter 42 Hierarchical Classification for Solving Multi-class Problems: A New Approach Using Naive Bayesian Classification
  44. Altmetric Badge
    Chapter 43 Predicting Features in Complex 3D Surfaces Using a Point Series Representation: A Case Study in Sheet Metal Forming
  45. Altmetric Badge
    Chapter 44 Automatic Labeling of Forums Using Bloom’s Taxonomy
  46. Altmetric Badge
    Chapter 45 Classifying Papers from Different Computer Science Conferences
  47. Altmetric Badge
    Chapter 46 Vertex Unique Labelled Subgraph Mining for Vertex Label Classification
  48. Altmetric Badge
    Chapter 47 A Similarity-Based Grouping Method for Molecular Docking in Distributed System
  49. Altmetric Badge
    Chapter 48 A Bag-of-Tones Model with MFCC Features for Musical Genre Classification
  50. Altmetric Badge
    Chapter 49 The GEPSO-Classification Algorithm
Overall attention for this book and its chapters
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

2 tweeters


1 Dimensions

Readers on

328 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.
Advanced Data Mining and Applications
Published by
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-53914-5
978-3-64-253913-8, 978-3-64-253914-5

Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar Zaiane, Min Yao, Wei Wang


Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar Zaiane, Min Yao, Wei Wang

Twitter Demographics

The data shown below were collected from the profiles of 2 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 328 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Brazil 3 <1%
Germany 2 <1%
Italy 2 <1%
France 2 <1%
Czechia 1 <1%
Sudan 1 <1%
Sweden 1 <1%
Indonesia 1 <1%
Other 8 2%
Unknown 303 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 97 30%
Student > Master 66 20%
Researcher 47 14%
Student > Doctoral Student 28 9%
Student > Bachelor 23 7%
Other 44 13%
Unknown 23 7%
Readers by discipline Count As %
Computer Science 178 54%
Engineering 46 14%
Business, Management and Accounting 12 4%
Social Sciences 10 3%
Agricultural and Biological Sciences 8 2%
Other 37 11%
Unknown 37 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 March 2016.
All research outputs
of 12,346,470 outputs
Outputs from Lecture notes in computer science
of 7,255 outputs
Outputs of similar age
of 262,401 outputs
Outputs of similar age from Lecture notes in computer science
of 99 outputs
Altmetric has tracked 12,346,470 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,255 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 50% 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 262,401 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 55% of its contemporaries.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.