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

ISBN: 978-3-642-40318-7 (Print) 978-3-642-40319-4 (Online)

Table of contents (47 chapters)

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  1. Front Matter

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  2. Data Mining Applications in Industry and Government

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      Pages 1-13

      Using Scan-Statistical Correlations for Network Change Analysis

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      Pages 14-25

      Predicting High Impact Academic Papers Using Citation Network Features

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      Pages 26-35

      An OLAP Server for Sensor Networks Using Augmented Statistics Trees

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      Pages 36-46

      Indirect Information Linkage for OSINT through Authorship Analysis of Aliases

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      Pages 47-58

      Dynamic Similarity-Aware Inverted Indexing for Real-Time Entity Resolution

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      Pages 59-70

      Identifying Dominant Economic Sectors and Stock Markets: A Social Network Mining Approach

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      Pages 71-82

      Ensemble Learning Model for Petroleum Reservoir Characterization: A Case of Feed-Forward Back-Propagation Neural Networks

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      Pages 83-94

      Visual Data Mining Methods for Kernel Smoothed Estimates of Cox Processes

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      Pages 95-108

      Real-Time Television ROI Tracking Using Mirrored Experimental Designs

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      Pages 109-120

      On the Evaluation of the Homogeneous Ensembles with CV-Passports

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      Pages 121-132

      Parallel Sentiment Polarity Classification Method with Substring Feature Reduction

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      Pages 133-142

      Identifying Authoritative and Reliable Contents in Community Question Answering with Domain Knowledge

  3. Data Analytics for Targeted Healthcare

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      Pages 143-154

      On the Application of Multi-class Classification in Physical Therapy Recommendation

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      Pages 155-167

      EEG-MINE: Mining and Understanding Epilepsy Data

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      Pages 168-178

      A Constraint and Rule in an Enhancement of Binary Particle Swarm Optimization to Select Informative Genes for Cancer Classification

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      Pages 179-190

      Parameter Estimation Using Improved Differential Evolution (IDE) and Bacterial Foraging Algorithm to Model Tyrosine Production in Mus Musculus (Mouse)

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      Pages 191-200

      Threonine Biosynthesis Pathway Simulation Using IBMDE with Parameter Estimation

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      Pages 201-213

      A Depression Detection Model Based on Sentiment Analysis in Micro-blog Social Network

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      Pages 214-222

      Modelling Gene Networks by a Dynamic Bayesian Network-Based Model with Time Lag Estimation

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      Pages 223-233

      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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