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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 Cost Sensitive Classification in Data Mining
  3. Altmetric Badge
    Chapter 2 Web Users Access Paths Clustering Based on Possibilistic and Fuzzy Sets Theory
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    Chapter 3 Discriminative Markov Logic Network Structure Learning Based on Propositionalization and χ 2 -Test
  5. Altmetric Badge
    Chapter 4 Advanced Data Mining and Applications
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    Chapter 5 Best Clustering Configuration Metrics: Towards Multiagent Based Clustering
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    Chapter 6 On Probabilistic Models for Uncertain Sequential Pattern Mining
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    Chapter 7 Cube Based Summaries of Large Association Rule Sets
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    Chapter 8 A Perceptron-Like Linear Supervised Algorithm for Text Classification
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    Chapter 9 Research on Time Series Forecasting Model Based on Moore Automata
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    Chapter 10 A Clustering Algorithm FCM-ACO for Supplier Base Management
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    Chapter 11 Nearest Neighbour Distance Matrix Classification
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    Chapter 12 Classification Inductive Rule Learning with Negated Features
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    Chapter 13 Fast Retrieval of Time Series Using a Multi-resolution Filter with Multiple Reduced Spaces
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    Chapter 14 DHPTID-HYBRID Algorithm: A Hybrid Algorithm for Association Rule Mining
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    Chapter 15 An Improved Rough Clustering Using Discernibility Based Initial Seed Computation
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    Chapter 16 Fixing the Threshold for Effective Detection of Near Duplicate Web Documents in Web Crawling
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    Chapter 17 Topic-Constrained Hierarchical Clustering for Document Datasets
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    Chapter 18 Discretization of Time Series Dataset Using Relative Frequency and K-Nearest Neighbor Approach
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    Chapter 19 MSDBSCAN: Multi-density Scale-Independent Clustering Algorithm Based on DBSCAN
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    Chapter 20 An Efficient Algorithm for Mining Erasable Itemsets
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    Chapter 21 Discord Region Based Analysis to Improve Data Utility of Privately Published Time Series
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    Chapter 22 Deep Web Sources Classifier Based on DSOM-EACO Clustering Model
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    Chapter 23 Kernel Based K-Medoids for Clustering Data with Uncertainty
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    Chapter 24 Frequent Pattern Mining Using Modified CP-Tree for Knowledge Discovery
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    Chapter 25 Spatial Neighborhood Clustering Based on Data Field
  27. Altmetric Badge
    Chapter 26 Surrounding Influenced K-Nearest Neighbors: A New Distance Based Classifier
  28. Altmetric Badge
    Chapter 27 A Centroid k -Nearest Neighbor Method
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    Chapter 28 Mining Spatial Association Rules with Multi-relational Approach
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    Chapter 29 An Unsupervised Classification Method of Remote Sensing Images Based on Ant Colony Optimization Algorithm
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    Chapter 30 A Novel Clustering Algorithm Based on Gravity and Cluster Merging
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    Chapter 31 Evolution Analysis of a Mobile Social Network
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    Chapter 32 Distance Distribution and Average Shortest Path Length Estimation in Real-World Networks
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    Chapter 33 Self-adaptive Change Detection in Streaming Data with Non-stationary Distribution
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    Chapter 34 Anchor Points Seeking of Large Urban Crowd Based on the Mobile Billing Data
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    Chapter 35 Frequent Pattern Trend Analysis in Social Networks
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    Chapter 36 Efficient Privacy-Preserving Data Mining in Malicious Model
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    Chapter 37 Analyze the Wild Birds’ Migration Tracks by MPI-Based Parallel Clustering Algorithm
  39. Altmetric Badge
    Chapter 38 Advanced Data Mining and Applications
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    Chapter 39 Finding Frequent Subgraphs in Longitudinal Social Network Data Using a Weighted Graph Mining Approach
  41. Altmetric Badge
    Chapter 40 Weigted-FP-Tree Based XML Query Pattern Mining
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    Chapter 41 Privacy-Preserving Data Mining in Presence of Covert Adversaries
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    Chapter 42 Multiple Level Views on the Adherent Cohesive Subgraphs in Massive Temporal Call Graphs
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    Chapter 43 Combating Link Spam by Noisy Link Analysis
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    Chapter 44 High Dimensional Image Categorization
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    Chapter 45 Efficiently Mining Co-Location Rules on Interval Data
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    Chapter 46 Multiple Attribute Frequent Mining-Based for Dengue Outbreak
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    Chapter 47 A Top-Down Approach for Hierarchical Cluster Exploration by Visualization
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    Chapter 48 Distributed Frequent Items Detection on Uncertain Data
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    Chapter 49 Mining Uncertain Sentences with Multiple Instance Learning
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    Chapter 50 WeightLOFCC: A Heuristic Weight-Setting Strategy of LOF Applied to Outlier Detection in Time Series Data
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    Chapter 51 TGP: Mining Top-K Frequent Closed Graph Pattern without Minimum Support
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    Chapter 52 Research on Similarity Matching for Multiple Granularities Time-Series Data
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    Chapter 53 A Novel Algorithm for Hierarchical Community Structure Detection in Complex Networks
  55. Altmetric Badge
    Chapter 54 Investigating Sequential Patterns of DNS Usage and Its Applications
  56. Altmetric Badge
    Chapter 55 Key Issues and Theoretical Framework on Moving Objects Data Mining
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    Chapter 56 An Improved KNN Based Outlier Detection Algorithm for Large Datasets
  58. Altmetric Badge
    Chapter 57 Some Developments of Determinacy Analysis
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    Chapter 58 A New Computational Framework for Gene Expression Clustering
  60. Altmetric Badge
    Chapter 59 Forecasting Short-Term Trends of Stock Markets Based on Fuzzy Frequent Pattern Tree
  61. Altmetric Badge
    Chapter 60 Inspired Rule-Based User Identification
Overall attention for this book and its chapters
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
9 Mendeley
Summary Wikipedia 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
Advanced Data Mining and Applications
Published by
ADS, November 2010
DOI 10.1007/978-3-642-17316-5
ISBNs
978-3-64-217315-8, 978-3-64-217316-5
Editors

Cao, Longbing, Feng, Yong, Zhong, Jiang

View on publisher site Google Preview
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 33%
Professor 1 11%
Student > Bachelor 1 11%
Student > Ph. D. Student 1 11%
Student > Postgraduate 1 11%
Other 0 0%
Unknown 2 22%
Readers by discipline Count As %
Computer Science 3 33%
Engineering 2 22%
Linguistics 1 11%
Mathematics 1 11%
Unknown 2 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 June 2019.
All research outputs
#7,544,407
of 23,016,919 outputs
Outputs from ADS
#9,313
of 37,443 outputs
Outputs of similar age
#36,286
of 101,027 outputs
Outputs of similar age from ADS
#108
of 340 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,443 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 29th percentile – i.e., 29% 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 101,027 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 340 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.

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