Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery

Author: Il-Yeol Song

Publisher: Springer Science & Business Media

ISBN: 9783540858355

Category: Business & Economics

Page: 434

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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.

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery

Author: Yahiko Kambayashi

Publisher: Springer

ISBN: 9783540448013

Category: Computers

Page: 366

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Data Warehousing and Knowledge Discovery technology is emerging as a key technology for enterprises that wish to improve their data analysis, decision support activities, and the automatic extraction of knowledge from data. The objective of the Third International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2001) was to bring together researchers and practitioners 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 warehousing and knowledge discovery systems. The scope of the papers covered the most recent and relevant topics in the areas of association rules, mining temporal patterns, data mining techniques, collaborative filtering, Web mining, visualization, matchmaking, evelopment and maintenance of data warehouses, OLAP, and distributed data warehouses. These proceedings contain the technical papers selected for presentation at the conference. We received more than 90 papers from over 20 countries, and the program committee finally selected 34 papers. The conference program included one invited talk: “Knowledge Management in Heterogeneous Data Warehouse Environments” by Professor Larry Kerschberg, George Mason University, USA.

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery

Author: Alfredo Cuzzocrea

Publisher: Springer Science & Business Media

ISBN: 9783642235436

Category: Computers

Page: 498

View: 887

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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.

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery

Author: Torben Bach Pedersen

Publisher: Springer Science & Business Media

ISBN: 9783642037290

Category: Computers

Page: 480

View: 591

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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.

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery

Author: Yahiko Kambayashi

Publisher: Springer Science & Business Media

ISBN: 9783540229377

Category: Computers

Page: 412

View: 518

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This book constitutes the refereed proceedings of the 6th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2004, held in Zaragoza, Spain, in September 2004. The 40 revised full papers presented were carefully reviewed and selected from over 100 submissions. The papers are organized in topical sections on data warehouse design; knowledge discovery framework and XML data mining, data cubes and queries; multidimensional schema and data aggregation; inductive databases and temporal rules; industrial applications; data clustering; data visualization and exploration; data classification, extraction, and interpretation; data semantics, association rule mining; event sequence mining; and pattern mining.

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery

Author: Torben Bach Pedersen

Publisher: Springer Science & Business Media

ISBN: 9783642151040

Category: Computers

Page: 338

View: 909

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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.

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery

Author: Mukesh K. Mohania

Publisher: Springer

ISBN: 9783642151057

Category: Computers

Page: 338

View: 812

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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.

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery

Author: Alfredo Cuzzocrea

Publisher: Springer

ISBN: 9783642235443

Category: Computers

Page: 498

View: 280

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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.

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery

Author: Ladjel Bellatreche

Publisher: Springer

ISBN: 9783319101606

Category: Computers

Page: 490

View: 601

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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.

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery

Author: A Min Tjoa

Publisher: Springer Science & Business Media

ISBN: 9783540285588

Category: Business & Economics

Page: 538

View: 326

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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.

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery

Author: Yahiko Kambayashi

Publisher: Springer

ISBN: 9783540300762

Category: Computers

Page: 412

View: 204

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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.

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery

Author: France) Dawak 200 (2002 Aix-en-provence

Publisher: Springer Science & Business Media

ISBN: 9783540441236

Category: Business & Economics

Page: 351

View: 275

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This book constitutes the refereed proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2002, held in Aix-en-Provence, France, in September 2002. The 32 revised full papers presented were carefully reviewed and selected from more than 100 submissions. The papers are organized in topical sections on association rules, clustering, web mining and security, data mining techniques, data cleansing, applications, data warehouse design, OLAP, and data warehouse maintenance.