Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery

This book constitutes the refereed proceedings of the 10th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2008, held in Turin, Italy, in September 2008.

Author: Il-Yeol Song

Publisher: Springer Science & Business Media

ISBN: 9783540858355

Category: Business & Economics

Page: 434

View: 971

This book constitutes the refereed proceedings of the 10th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2008, held in Turin, Italy, in September 2008. The 40 revised full papers presented were carefully reviewed and selected from 143 submissions. The papers are organized in topical sections on conceptual design and modeling, olap and cube processing, distributed data warehouse, data privacy in data warehouse, data warehouse and data mining, clustering, mining data streams, classification, text mining and taxonomy, machine learning techniques, and data mining applications.
Categories: Business & Economics

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery

This book constitutes the refereed proceedings of the 13th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2011 held in Toulouse, France in August/September 2011.

Author: Alfredo Cuzzocrea

Publisher: Springer Science & Business Media

ISBN: 9783642235436

Category: Computers

Page: 498

View: 283

This book constitutes the refereed proceedings of the 13th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2011 held in Toulouse, France in August/September 2011. The 37 revised full papers presented were carefully reviewed and selected from 119 submissions. The papers are organized in topical sections on physical and conceptual data warehouse models, data warehousing design methodologies and tools, data warehouse performance and optimization, pattern mining, matrix-based mining techniques and stream, sensor and time-series mining.
Categories: Computers

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery

Data warehousing and knowledge discovery are increasingly becoming mission-critical technologies for most organizations, both commercial and public, as it becomes increasingly important to derive important knowledge from both internal ...

Author: Torben Bach Pedersen

Publisher: Springer Science & Business Media

ISBN: 9783642037290

Category: Computers

Page: 480

View: 357

This book constitutes the refereed proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2009 held in Linz, Austria in August/September 2009. The 36 revised full papers presented were carefully reviewed and selected from 124 submissions. The papers are organized in topical sections on data warehouse modeling, data streams, physical design, pattern mining, data cubes, data mining applications, analytics, data mining, clustering, spatio-temporal mining, rule mining, and OLAP recommendation.
Categories: Computers

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery

Data warehousing and knowledge discovery has been widely accepted as a key technology for enterprises and organizations to improve their abilities in data analysis, decision support, and the automatic extraction of knowledge from data.

Author: Mukesh K. Mohania

Publisher: Springer

ISBN: 9783642151057

Category: Computers

Page: 338

View: 185

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.
Categories: Computers

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery

Data warehousing and knowledge discovery is an extremely active research area where a number of methodologies and paradigms converge, with coverage on both theoretical issues and practical solutions. From a broad viewpoint, ...

Author: Alfredo Cuzzocrea

Publisher: Springer

ISBN: 9783642235443

Category: Computers

Page: 498

View: 424

This book constitutes the refereed proceedings of the 13th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2011 held in Toulouse, France in August/September 2011. The 37 revised full papers presented were carefully reviewed and selected from 119 submissions. The papers are organized in topical sections on physical and conceptual data warehouse models, data warehousing design methodologies and tools, data warehouse performance and optimization, pattern mining, matrix-based mining techniques and stream, sensor and time-series mining.
Categories: Computers

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery

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.

Author: Ladjel Bellatreche

Publisher: Springer

ISBN: 3642401309

Category: Computers

Page: 374

View: 653

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.
Categories: Computers

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery

Data warehousing and knowledge discovery technologies have been growing over time and they are now a practical need in every major small and large company. The maturity of these technologies encourages these companies to integrate ...

Author: Ladjel Bellatreche

Publisher: Springer

ISBN: 9783319101606

Category: Computers

Page: 490

View: 525

This book constitutes the refereed proceedings of the 16th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2014 held in Munich, Germany, September 2014, in conjunction with DEXA 2014. The 34 revised full papers and 8 short papers presented were carefully reviewed and selected from 109 submissions. The papers are organized in topical sections on modeling and ETL; ontology-based data warehouses; advanced data warehouses and OLAP; uncertainty; preferences and recommendation; query performance and HPC; cube & OLAP; optimization; classification; social networks and recommendation systems; knowledge data discovery; industrial applications; mining and processing data stream; mining and similarity.
Categories: Computers

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery

The two sides of the coin for decision making are principally formed by Data Warehousing and Knowledge Discovery. Knowledge discovery in data warehouses focuses upon the extraction of interesting and previously unknown knowledge [3].

Author: A Min Tjoa

Publisher: Springer Science & Business Media

ISBN: 9783540285588

Category: Business & Economics

Page: 538

View: 194

This book constitutes the refereed proceedings of the 7th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2005, held in Copenhagen, Denmark, in August 2005. The 51 revised full papers presented were carefully reviewed and selected from 196 submissions. The papers are organized in topical sections on data warehouses, evaluation and tools, schema transformations, materialized views, aggregates, data warehouse queries and database processing issues, data mining algorithms and techniques, association rules, text processing and classification, security and privacy issues, patterns, and cluster and classification.
Categories: Business & Economics

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery

Fundamentals of spatial data warehousing for geographic knowledge discovery. H. J. Miller and J. Han (Editors) Geographic Data Mining and Knowledge Discovery. (2001) 12. Rivest, S., Bédard, Y. and Marchand, P.: Towards better support ...

Author: Yahiko Kambayashi

Publisher: Springer

ISBN: 9783540300762

Category: Computers

Page: 412

View: 846

Within thelastfewyears, datawarehousingandknowledgediscoverytechnology has established itself as a key technology for enterprises that wish to improve the quality of the results obtained from data analysis, decision support, and the automatic extraction of knowledge from data. The 6th InternationalConference on Data Warehousing and KnowledgeD- covery (DaWaK 2004) continued a series of successful conferences dedicated to this topic. Its main objective was to bring together researchers and practiti- ers to discuss research issues and experience in developing and deploying data warehousing and knowledge discovery systems, applications, and solutions. The conference focused on the logical and physical design of data wareho- ing and knowledge discovery systems. The scope of the papers covers the most recent and relevant topics in the areas of data cubes and queries, multidim- sionaldatamodels, XMLdatamining, datasemanticsandclustering, association rules, data mining techniques, data analysis and discovery, query optimization, datacleansing, datawarehousedesignandmaintenance, andapplications. These proceedings contain the technical papers selected for presentation at the conf- ence. We received more than 100 papers, including 12 industrial papers, from over 33 countries, and the program committee?nally selected 40 papers. The conf- ence program included an invited talk by Kazuo Iwano, IBM Tokyo Research Lab, Japan. We would like to thank the DEXA 2004 Workshop General Chairs (Prof.
Categories: Computers

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery

Preface Within the last few years Data Warehousing and Knowledge Discovery technology has established itself as a key technology for enterprises that wish to improve the quality of the results obtained from data analysis, ...

Author: Y. Kambayashi

Publisher: Springer Science & Business Media

ISBN: 9783540408079

Category: Computers

Page: 432

View: 828

This book constitutes the refereed proceedings of the 5th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2003, held in Prague, Czech Republic in September 2003. The 41 revised full papers presented were carefully reviewed and selected from more than 130 submissions. The papers are organized in topical sections on data cubes and queries, multidimensional data models, Web warehousing, change detection, Web mining and association rules, association rules and decision trees, clustering, association rule mining, data analysis and discovery, ontologies and improving data quality, queries and data patterns, improving database query engines, and sampling and vector classification.
Categories: Computers