Data Warehousing and Knowledge Discovery: 12th International Conference, DaWaK 2010, Bilbao, Spain, August 30 - September 2, 2010, Proceedings (Lecture Notes in Computer Science, 6263)

Data warehousing and knowledge discovery has been widely accepted as a key te- nology for enterprises and organizations to improve their abilities in data analysis, decision support, and the automatic extraction of knowledge from data. With the exponentially growing amount of information to be included in the decision-making process, the data to be considered become more and more complex in both structure and semantics. New developments such as cloud computing add to the challenges with massive scaling, a new computing infrastructure, and new types of data. Consequently, the process of retrieval and knowledge discovery from this huge amount of heterogeneous complex data forms the litmus test for research in the area. In the last decade, the International Conference on Data Warehousing and Kno- edge Discovery (DaWaK) has become one of the most important international sci- tific events bringing together researchers, developers, and practitioners to discuss the latest research issues and experiences in developing and deploying data warehousing and knowledge discovery systems, applications, and solutions. th This year’s conference, the 12 International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2010), continued the tradition by discussing and disseminating innovative principles, methods, algorithms, and solutions to challe- ing problems faced in the development of data warehousing, knowledge discovery, the emerging area of "cloud intelligence," and applications within these areas. In order to better reflect novel trends and the diversity of topics, the conference was organized in four tracks: Cloud Intelligence, Data Warehousing, Knowledge Discovery, and Industry and Applications. Front Matter....Pages - Logic Programming for Data Warehouse Conceptual Schema Validation....Pages 1-12 A Model-Driven Heuristic Approach for Detecting Multidimensional Facts in Relational Data Sources....Pages 13-24 Physical Design and Implementation of Spatial Data Warehouses Supporting Continuous Fields....Pages 25-39 Benchmarking Spatial Data Warehouses....Pages 40-51 Discovering Community-Oriented Roles of Nodes in a Social Network....Pages 52-64 A Graph-Based Clustering Scheme for Identifying Related Tags in Folksonomies....Pages 65-76 Frequent Sub-graph Mining on Edge Weighted Graphs....Pages 77-88 $\mathcal{F}$ & $\mathcal{A}$ : A Methodology for Effectively and Efficiently Designing Parallel Relational Data Warehouses on Heterogenous Database Clusters....Pages 89-104 Yet Another Algorithms for Selecting Bitmap Join Indexes....Pages 105-116 Speeding Up Queries in Column Stores....Pages 117-129 Mining Non-redundant Information-Theoretic Dependencies between Itemsets....Pages 130-141 Discovery and Application of Functional Dependencies in Conjunctive Query Mining....Pages 142-156 Using Transitivity to Increase the Accuracy of Sample-Based Pearson Correlation Coefficients....Pages 157-171 The NOX Framework: Native Language Queries for Business Intelligence Applications....Pages 172-189 Experience in Extending Query Engine for Continuous Analytics....Pages 190-202 Development of a Business Intelligence Environment for e-Gov Using Open Source Technologies....Pages 203-214 A Fast Randomized Method for Local Density-Based Outlier Detection in High Dimensional Data....Pages 215-226 Specialty Mining....Pages 227-238 Region of Interest Based Image Categorization....Pages 239-250 Meta-learning for Post-processing of Association Rules....Pages 251-262 A Relational Approach for Discovering Frequent Patterns with Disjunctions....Pages 263-274 An Occurrence Based Approach to Mine Emerging Sequences....Pages 275-284 Mining Closed Itemsets in Data Stream Using Formal Concept Analysis....Pages 285-296 XML Data Fusion....Pages 297-308 An Efficient Duplicate Record Detection Using q-Grams Array Inverted Index....Pages 309-323 Modelling Complex Data by Learning Which Variable to Construct....Pages 324-335 Back Matter....Pages - 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. Annotation This book constitutes the refereed proceedings of the 12th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2010 held in Bilbao, Spain in August/September 2010. The 26 revised full papers presented were carefully reviewed and selected from 112 submissions. The papers cover a wide range of topics within cloud intelligence, data warehousing, knowledge discovery, and applications