Ebook: Data Warehousing and Knowledge Discovery: 15th International Conference, DaWaK 2013, Prague, Czech Republic, August 26-29, 2013. Proceedings

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.

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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.

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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.
Content:
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 -