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Advanced Data Mining and Applications

Overview of attention for book
Advanced Data Mining and Applications
Springer Berlin Heidelberg

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
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    Chapter 47 A Similarity-Based Grouping Method for Molecular Docking in Distributed System
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    Chapter 48 A Bag-of-Tones Model with MFCC Features for Musical Genre Classification
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    Chapter 49 The GEPSO-Classification Algorithm
Overall attention for this book and its chapters
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Mentioned by

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1 X user

Readers on

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427 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

Timeline

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 427 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%
Portugal 1 <1%
Indonesia 1 <1%
Sweden 1 <1%
Sudan 1 <1%
Other 8 2%
Unknown 402 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 107 25%
Student > Master 73 17%
Researcher 50 12%
Student > Doctoral Student 30 7%
Student > Bachelor 28 7%
Other 56 13%
Unknown 83 19%
Readers by discipline Count As %
Computer Science 195 46%
Engineering 51 12%
Business, Management and Accounting 14 3%
Social Sciences 12 3%
Mathematics 8 2%
Other 46 11%
Unknown 101 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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
#15,863,447
of 23,567,572 outputs
Outputs from Lecture notes in computer science
#4,665
of 8,153 outputs
Outputs of similar age
#185,631
of 284,632 outputs
Outputs of similar age from Lecture notes in computer science
#191
of 318 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 284,632 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 318 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.