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Trends and Applications in Knowledge Discovery and Data Mining : PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Gold Coast, QLD, Australia, April 14-17, 2013, Revised…

Overview of attention for book
Cover of 'Trends and Applications in Knowledge Discovery and Data Mining : PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Gold Coast, QLD, Australia, April 14-17, 2013, Revised Selected Papers'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Using Scan-Statistical Correlations for Network Change Analysis
  3. Altmetric Badge
    Chapter 2 Predicting High Impact Academic Papers Using Citation Network Features
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    Chapter 3 An OLAP Server for Sensor Networks Using Augmented Statistics Trees
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    Chapter 4 Trends and Applications in Knowledge Discovery and Data Mining
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    Chapter 5 Dynamic Similarity-Aware Inverted Indexing for Real-Time Entity Resolution
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    Chapter 6 Identifying Dominant Economic Sectors and Stock Markets: A Social Network Mining Approach
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    Chapter 7 Ensemble Learning Model for Petroleum Reservoir Characterization: A Case of Feed-Forward Back-Propagation Neural Networks
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    Chapter 8 Visual Data Mining Methods for Kernel Smoothed Estimates of Cox Processes
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    Chapter 9 Real-Time Television ROI Tracking Using Mirrored Experimental Designs
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    Chapter 10 On the Evaluation of the Homogeneous Ensembles with CV-Passports
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    Chapter 11 Parallel Sentiment Polarity Classification Method with Substring Feature Reduction
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    Chapter 12 Identifying Authoritative and Reliable Contents in Community Question Answering with Domain Knowledge
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    Chapter 13 On the Application of Multi-class Classification in Physical Therapy Recommendation
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    Chapter 14 EEG-MINE: Mining and Understanding Epilepsy Data
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    Chapter 15 A Constraint and Rule in an Enhancement of Binary Particle Swarm Optimization to Select Informative Genes for Cancer Classification
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    Chapter 16 Parameter Estimation Using Improved Differential Evolution (IDE) and Bacterial Foraging Algorithm to Model Tyrosine Production in Mus Musculus (Mouse)
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    Chapter 17 Threonine Biosynthesis Pathway Simulation Using IBMDE with Parameter Estimation
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    Chapter 18 A Depression Detection Model Based on Sentiment Analysis in Micro-blog Social Network
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    Chapter 19 Modelling Gene Networks by a Dynamic Bayesian Network-Based Model with Time Lag Estimation
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    Chapter 20 Identifying Gene Knockout Strategy Using Bees Hill Flux Balance Analysis (BHFBA) for Improving the Production of Succinic Acid and Glycerol in Saccharomyces cerevisiae
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    Chapter 21 Mining Clinical Process in Order Histories Using Sequential Pattern Mining Approach
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    Chapter 22 Multiclass Prediction for Cancer Microarray Data Using Various Variables Range Selection Based on Random Forest
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    Chapter 23 A Hybrid of SVM and SCAD with Group-Specific Tuning Parameters in Identification of Informative Genes and Biological Pathways
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    Chapter 24 Trends and Applications in Knowledge Discovery and Data Mining
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    Chapter 25 Trends and Applications in Knowledge Discovery and Data Mining
  27. Altmetric Badge
    Chapter 26 Mining Correlated Patterns with Multiple Minimum All-Confidence Thresholds
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    Chapter 27 A Novel Proposal for Outlier Detection in High Dimensional Space
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    Chapter 28 CPPG: Efficient Mining of Coverage Patterns Using Projected Pattern Growth Technique
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    Chapter 29 A Two-Stage Dual Space Reduction Framework for Multi-label Classification
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    Chapter 30 Effective Evaluation Measures for Subspace Clustering of Data Streams
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    Chapter 31 Objectively Evaluating Interestingness Measures for Frequent Itemset Mining
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    Chapter 32 A New Feature Selection and Feature Contrasting Approach Based on Quality Metric: Application to Efficient Classification of Complex Textual Data
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    Chapter 33 Evaluation of Position-Constrained Association-Rule-Based Classification for Tree-Structured Data
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    Chapter 34 Enhancing Textual Data Quality in Data Mining: Case Study and Experiences
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    Chapter 35 Cost-Based Quality Measures in Subgroup Discovery
  37. Altmetric Badge
    Chapter 36 Applying Migrating Birds Optimization to Credit Card Fraud Detection
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    Chapter 37 Clustering in Conjunction with Quantum Genetic Algorithm for Relevant Genes Selection for Cancer Microarray Data
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    Chapter 38 On the Optimality of Subsets of Features Selected by Heuristic and Hyper-heuristic Approaches
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    Chapter 39 A PSO-Based Cost-Sensitive Neural Network for Imbalanced Data Classification
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    Chapter 40 Binary Classification Using Genetic Programming: Evolving Discriminant Functions with Dynamic Thresholds
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    Chapter 41 Incremental Constrained Clustering: A Decision Theoretic Approach
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    Chapter 42 Querying Compressed XML Data
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    Chapter 43 Mining Approximate Keys Based on Reasoning from XML Data
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    Chapter 44 A Semantic-Based Dual Caching System for Nomadic Web Service
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    Chapter 45 FTCRank: Ranking Components for Building Highly Reliable Cloud Applications
  47. Altmetric Badge
    Chapter 46 Research on SaaS Resource Management Method Oriented to Periodic User Behavior
  48. Altmetric Badge
    Chapter 47 Weight Based Live Migration of Virtual Machines
Overall attention for this book and its chapters
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Title
Trends and Applications in Knowledge Discovery and Data Mining : PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Gold Coast, QLD, Australia, April 14-17, 2013, Revised Selected Papers
Published by
Springer Berlin Heidelberg, August 2013
DOI 10.1007/978-3-642-40319-4
ISBNs
978-3-64-240318-7, 978-3-64-240319-4
Editors

Li, Jiuyong, Tseng, Vincent S., Pei, Jian, Liu, Bo, Tan, Kay Chen, Wang, Can, Cao, Longbing

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 142 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 4%
Other 5 4%
Student > Doctoral Student 4 3%
Student > Ph. D. Student 3 2%
Researcher 1 <1%
Other 0 0%
Unknown 123 87%
Readers by discipline Count As %
Computer Science 9 6%
Engineering 3 2%
Social Sciences 2 1%
Business, Management and Accounting 1 <1%
Chemical Engineering 1 <1%
Other 3 2%
Unknown 123 87%

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