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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 Effective Monotone Knowledge Integration in Kernel Support Vector Machines
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    Chapter 2 Textual Cues for Online Depression in Community and Personal Settings
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    Chapter 3 Confidence-Weighted Bipartite Ranking
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    Chapter 4 Mining Distinguishing Customer Focus Sets for Online Shopping Decision Support
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    Chapter 5 Community Detection in Networks with Less Significant Community Structure
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    Chapter 6 Prediction-Based, Prioritized Market-Share Insight Extraction
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    Chapter 7 Interrelationships of Service Orchestrations
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    Chapter 8 Outlier Detection on Mixed-Type Data: An Energy-Based Approach
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    Chapter 9 Low-Rank Feature Reduction and Sample Selection for Multi-output Regression
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    Chapter 10 Biologically Inspired Pattern Recognition for E-nose Sensors
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    Chapter 11 Addressing Class Imbalance and Cost Sensitivity in Software Defect Prediction by Combining Domain Costs and Balancing Costs
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    Chapter 12 Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints
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    Chapter 13 Improving Cytogenetic Search with GPUs Using Different String Matching Schemes
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    Chapter 14 CEIoT: A Framework for Interlinking Smart Things in the Internet of Things
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    Chapter 15 Adopting Hybrid Descriptors to Recognise Leaf Images for Automatic Plant Specie Identification
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    Chapter 16 Efficient Mining of Pan-Correlation Patterns from Time Course Data
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    Chapter 17 Recognizing Daily Living Activity Using Embedded Sensors in Smartphones: A Data-Driven Approach
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    Chapter 18 Dynamic Reverse Furthest Neighbor Querying Algorithm of Moving Objects
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    Chapter 19 Relative Neighborhood Graphs Uncover the Dynamics of Social Media Engagement
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    Chapter 20 An Ensemble Approach for Better Truth Discovery
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    Chapter 21 Single Classifier Selection for Ensemble Learning
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    Chapter 22 Community Detection in Dynamic Attributed Graphs
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    Chapter 23 Secure Computation of Skyline Query in MapReduce
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    Chapter 24 Recommending Features of Mobile Applications for Developer
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    Chapter 25 Adaptive Multi-objective Swarm Crossover Optimization for Imbalanced Data Classification
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    Chapter 26 Causality-Guided Feature Selection
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    Chapter 27 Temporal Interaction Biased Community Detection in Social Networks
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    Chapter 28 Extracting Key Challenges in Achieving Sobriety Through Shared Subspace Learning
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    Chapter 29 Unified Weighted Label Propagation Algorithm Using Connection Factor
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    Chapter 30 MetricRec: Metric Learning for Cold-Start Recommendations
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    Chapter 31 Time Series Forecasting on Engineering Systems Using Recurrent Neural Networks
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    Chapter 32 EDAHT: An Expertise Degree Analysis Model for Mass Comments in the E-Commerce System
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    Chapter 33 A Scalable Document-Based Architecture for Text Analysis
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    Chapter 34 DAPPFC: Density-Based Affinity Propagation for Parameter Free Clustering
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    Chapter 35 Effective Traffic Flow Forecasting Using Taxi and Weather Data
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    Chapter 36 Understanding Behavioral Differences Between Short and Long-Term Drinking Abstainers from Social Media
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    Chapter 37 Discovering Trip Hot Routes Using Large Scale Taxi Trajectory Data
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    Chapter 38 Discovering Spatially Contiguous Clusters in Multivariate Geostatistical Data Through Spectral Clustering
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    Chapter 39 On Improving Random Forest for Hard-to-Classify Records
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    Chapter 40 Scholarly Output Graph: A Graphical Article-Level Metric Indicating the Impact of a Scholar’s Publications
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    Chapter 41 Distributed Lazy Association Classification Algorithm Based on Spark
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    Chapter 42 Event Evolution Model Based on Random Walk Model with Hot Topic Extraction
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    Chapter 43 Knowledge-Guided Maximal Clique Enumeration
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    Chapter 44 Got a Complaint?- Keep Calm and Tweet It!
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    Chapter 45 Query Classification by Leveraging Explicit Concept Information
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    Chapter 46 Stabilizing Linear Prediction Models Using Autoencoder
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    Chapter 47 Mining Source Code Topics Through Topic Model and Words Embedding
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    Chapter 48 IPC Multi-label Classification Based on the Field Functionality of Patent Documents
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    Chapter 49 Unsupervised Component-Wise EM Learning for Finite Mixtures of Skew t-distributions
  51. Altmetric Badge
    Chapter 50 Supervised Feature Selection by Robust Sparse Reduced-Rank Regression
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    Chapter 51 PUEPro: A Computational Pipeline for Prediction of Urine Excretory Proteins
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    Chapter 52 Partitioning Clustering Based on Support Vector Ranking
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    Chapter 53 Global Recursive Based Node Importance Evaluation
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    Chapter 54 Extreme User and Political Rumor Detection on Twitter
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    Chapter 55 Deriving Public Sector Workforce Insights: A Case Study Using Australian Public Sector Employment Profiles
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    Chapter 56 Real-Time Stream Mining Electric Power Consumption Data Using Hoeffding Tree with Shadow Features
  58. Altmetric Badge
    Chapter 57 Real-Time Investigation of Flight Delays Based on the Internet of Things Data
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    Chapter 58 IRS-HD: An Intelligent Personalized Recommender System for Heart Disease Patients in a Tele-Health Environment
  60. Altmetric Badge
    Chapter 59 Sentiment Analysis for Depression Detection on Social Networks
  61. Altmetric Badge
    Chapter 60 Traffic Flow Visualization Using Taxi GPS Data
  62. Altmetric Badge
    Chapter 61 Erratum to: Sentiment Analysis for Depression Detection on Social Networks
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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
twitter
16 X users
facebook
2 Facebook pages

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
10 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.
Title
Advanced Data Mining and Applications
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-49586-6
ISBNs
978-3-31-949585-9, 978-3-31-949586-6
Editors

Jinyan Li, Xue Li, Shuliang Wang, Jianxin Li, Quan Z. Sheng

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 20%
Lecturer 1 10%
Student > Bachelor 1 10%
Student > Master 1 10%
Researcher 1 10%
Other 1 10%
Unknown 3 30%
Readers by discipline Count As %
Computer Science 5 50%
Engineering 1 10%
Unknown 4 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 16 September 2021.
All research outputs
#2,100,096
of 25,501,527 outputs
Outputs from Lecture notes in computer science
#338
of 8,164 outputs
Outputs of similar age
#34,750
of 400,404 outputs
Outputs of similar age from Lecture notes in computer science
#75
of 582 outputs
Altmetric has tracked 25,501,527 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,164 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 95% 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 400,404 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 582 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.