Data Warehousing And Knowledge Discovery: 15th International Conference, Dawak 2013, Prague, Czech Republic, August 26-29, 2013, Proceedings (lecture Notes In Computer Science)

This book constitutes the refereed proceedings of the 15th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2013 held in Prague, Czech Republic, in August 2013. The 24 revised full papers and 8 short papers presented were carefully reviewed and selected from 89 submissions. The papers are organized in topical sections on modeling and ETL, query optimization and parallelism, spatial data warehouses and applications, text mining and OLAP, recommendation and prediction, data mining optimization and machine learning techniques, mining and processing data streams, clustering and data mining applications, social network and graph mining, and event sequence and Web mining. Front Matter....Pages - An Analytics-Aware Conceptual Model for Evolving Graphs....Pages 1-12 Declarative Expression and Optimization of Data-Intensive Flows....Pages 13-25 Tabular Web Data: Schema Discovery and Integration....Pages 26-33 Uncoupled MapReduce: A Balanced and Efficient Data Transfer Model....Pages 34-45 Efficient Evaluation of Ad-Hoc Range Aggregates....Pages 46-59 SPIN: Concurrent Workload Scaling over Data Warehouses....Pages 60-71 Lily: A Geo-Enhanced Library for Location Intelligence....Pages 72-83 Discovering Co-location Patterns in Datasets with Extended Spatial Objects....Pages 84-96 SOLAP4epidemiologist : A Spatial Data Warehousing Application in Epidemiology Domain....Pages 97-109 Document Difficulty Framework for Semi-automatic Text Classification....Pages 110-121 Knowledge-Free Table Summarization....Pages 122-133 Predicting Your Next OLAP Query Based on Recent Analytical Sessions....Pages 134-145 Where Will You Go? Mobile Data Mining for Next Place Prediction....Pages 146-158 An Extended Local Hierarchical Classifier for Prediction of Protein and Gene Functions....Pages 159-171 Supervised Dimensionality Reduction via Nonlinear Target Estimation....Pages 172-183 Concurrent Execution of Data Mining Queries for Spatial Collocation Pattern Discovery....Pages 184-195 Depth-First Traversal over a Mirrored Space for Non-redundant Discriminative Itemsets....Pages 196-208 Stream Mining of Frequent Patterns from Delayed Batches of Uncertain Data....Pages 209-221 Fast Causal Network Inference over Event Streams....Pages 222-235 SSCJ: A Semi-Stream Cache Join Using a Front-Stage Cache Module....Pages 236-247 Metrics to Support the Evaluation of Association Rule Clustering....Pages 248-259 An Automatic Email Management Approach Using Data Mining Techniques....Pages 260-267 A Data Mining-Based Wind Power Forecasting Method: Results for Wind Power Plants in Turkey....Pages 268-276 Disease Occurrence Prediction Based on Spatio-temporal Characterization – A Mesoscale Study for Knowledge and Pattern Discovery....Pages 277-284 Population Estimation Mining Using Satellite Imagery....Pages 285-296 GMAC: A Seed-Insensitive Approach to Local Community Detection....Pages 297-308 Finding Maximal Overlapping Communities....Pages 309-316 Minimal Vertex Unique Labelled Subgraph Mining....Pages 317-326 A Hybrid Graph-Based Method for Concept Rule Discovery....Pages 327-338 Applications of Concurrent Access Patterns in Web Usage Mining....Pages 339-348 Cell-at-a-Time Approach to Lazy Evaluation of Dimensional Aggregations....Pages 349-358 MAF: A Method for Detecting Temporal Associations from Multiple Event Sequences....Pages 359-371 Back Matter....Pages -