Ebook: 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
- Tags: Data Mining and Knowledge Discovery, Artificial Intelligence (incl. Robotics), Health Informatics, Information Storage and Retrieval, Information Systems Applications (incl. Internet)
- Series: Lecture Notes in Computer Science 7867
- Year: 2013
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
This book constitutes the refereed proceedings at PAKDD Workshops 2013, affiliated with the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) held in Gold Coast, Australia in April 2013.
The 47 revised full papers presented were carefully reviewed and selected from 92 submissions. The workshops affiliated with PAKDD 2013 include: Data Mining Applications in Industry and Government (DMApps), Data Analytics for Targeted Healthcare (DANTH), Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE), Biologically Inspired Techniques for Data Mining (BDM), Constraint Discovery and Application (CDA), Cloud Service Discovery (CloudSD).
This book constitutes the refereed proceedings at PAKDD Workshops 2013, affiliated with the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) held in Gold Coast, Australia in April 2013.
The 47 revised full papers presented were carefully reviewed and selected from 92 submissions. The workshops affiliated with PAKDD 2013 include: Data Mining Applications in Industry and Government (DMApps), Data Analytics for Targeted Healthcare (DANTH), Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE), Biologically Inspired Techniques for Data Mining (BDM), Constraint Discovery and Application (CDA), Cloud Service Discovery (CloudSD).
This book constitutes the refereed proceedings at PAKDD Workshops 2013, affiliated with the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) held in Gold Coast, Australia in April 2013.
The 47 revised full papers presented were carefully reviewed and selected from 92 submissions. The workshops affiliated with PAKDD 2013 include: Data Mining Applications in Industry and Government (DMApps), Data Analytics for Targeted Healthcare (DANTH), Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE), Biologically Inspired Techniques for Data Mining (BDM), Constraint Discovery and Application (CDA), Cloud Service Discovery (CloudSD).
Content:
Front Matter....Pages -
Using Scan-Statistical Correlations for Network Change Analysis....Pages 1-13
Predicting High Impact Academic Papers Using Citation Network Features....Pages 14-25
An OLAP Server for Sensor Networks Using Augmented Statistics Trees....Pages 26-35
Indirect Information Linkage for OSINT through Authorship Analysis of Aliases....Pages 36-46
Dynamic Similarity-Aware Inverted Indexing for Real-Time Entity Resolution....Pages 47-58
Identifying Dominant Economic Sectors and Stock Markets: A Social Network Mining Approach....Pages 59-70
Ensemble Learning Model for Petroleum Reservoir Characterization: A Case of Feed-Forward Back-Propagation Neural Networks....Pages 71-82
Visual Data Mining Methods for Kernel Smoothed Estimates of Cox Processes....Pages 83-94
Real-Time Television ROI Tracking Using Mirrored Experimental Designs....Pages 95-108
On the Evaluation of the Homogeneous Ensembles with CV-Passports....Pages 109-120
Parallel Sentiment Polarity Classification Method with Substring Feature Reduction....Pages 121-132
Identifying Authoritative and Reliable Contents in Community Question Answering with Domain Knowledge....Pages 133-142
On the Application of Multi-class Classification in Physical Therapy Recommendation....Pages 143-154
EEG-MINE: Mining and Understanding Epilepsy Data....Pages 155-167
A Constraint and Rule in an Enhancement of Binary Particle Swarm Optimization to Select Informative Genes for Cancer Classification....Pages 168-178
Parameter Estimation Using Improved Differential Evolution (IDE) and Bacterial Foraging Algorithm to Model Tyrosine Production in Mus Musculus (Mouse)....Pages 179-190
Threonine Biosynthesis Pathway Simulation Using IBMDE with Parameter Estimation....Pages 191-200
A Depression Detection Model Based on Sentiment Analysis in Micro-blog Social Network....Pages 201-213
Modelling Gene Networks by a Dynamic Bayesian Network-Based Model with Time Lag Estimation....Pages 214-222
Mining Clinical Process in Order Histories Using Sequential Pattern Mining Approach....Pages 223-233
Multiclass Prediction for Cancer Microarray Data Using Various Variables Range Selection Based on Random Forest....Pages 234-246
A Hybrid of SVM and SCAD with Group-Specific Tuning Parameters in Identification of Informative Genes and Biological Pathways....Pages 247-257
Structured Feature Extraction Using Association Rules....Pages 258-269
Evaluation of Error-Sensitive Attributes....Pages 270-282
Mining Correlated Patterns with Multiple Minimum All-Confidence Thresholds....Pages 283-294
A Novel Proposal for Outlier Detection in High Dimensional Space....Pages 295-306
CPPG: Efficient Mining of Coverage Patterns Using Projected Pattern Growth Technique....Pages 307-318
A Two-Stage Dual Space Reduction Framework for Multi-label Classification....Pages 319-329
Effective Evaluation Measures for Subspace Clustering of Data Streams....Pages 330-341
Objectively Evaluating Interestingness Measures for Frequent Itemset Mining....Pages 342-353
A New Feature Selection and Feature Contrasting Approach Based on Quality Metric: Application to Efficient Classification of Complex Textual Data....Pages 354-366
Evaluation of Position-Constrained Association-Rule-Based Classification for Tree-Structured Data....Pages 367-378
Enhancing Textual Data Quality in Data Mining: Case Study and Experiences....Pages 379-391
Cost-Based Quality Measures in Subgroup Discovery....Pages 392-403
Applying Migrating Birds Optimization to Credit Card Fraud Detection....Pages 404-415
Clustering in Conjunction with Quantum Genetic Algorithm for Relevant Genes Selection for Cancer Microarray Data....Pages 416-427
On the Optimality of Subsets of Features Selected by Heuristic and Hyper-heuristic Approaches....Pages 428-439
A PSO-Based Cost-Sensitive Neural Network for Imbalanced Data Classification....Pages 440-451
Binary Classification Using Genetic Programming: Evolving Discriminant Functions with Dynamic Thresholds....Pages 452-463
Incremental Constrained Clustering: A Decision Theoretic Approach....Pages 464-474
Querying Compressed XML Data....Pages 475-486
Mining Approximate Keys Based on Reasoning from XML Data....Pages 487-498
A Semantic-Based Dual Caching System for Nomadic Web Service....Pages 499-510
FTCRank: Ranking Components for Building Highly Reliable Cloud Applications....Pages 511-521
Research on SaaS Resource Management Method Oriented to Periodic User Behavior....Pages 522-532
Weight Based Live Migration of Virtual Machines....Pages 533-542
Back Matter....Pages 543-554
....Pages -
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