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

twitter
2 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

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

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

Editors

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
#6,855,694
of 12,346,470 outputs
Outputs from Lecture notes in computer science
#3,450
of 7,255 outputs
Outputs of similar age
#112,852
of 262,401 outputs
Outputs of similar age from Lecture notes in computer science
#47
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.