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Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Current decentralized systems still focus on data and knowledge as their main resource.
An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Since the 1990s, the Internet has become the main driving force behind application development in all domains. 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.Īuthor by: Abdelkader Hameurlain Languange: en Publisher by: Springer Format Available: PDF, ePub, Mobi Total Read: 93 Total Download: 728 File Size: 52,6 Mb Description: The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery and knowledge processing, which are core and hot topics in computer science.
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The 24 revised full papers and 8 short papers presented were carefully reviewed and selected from 89 submissions. Author by: Ladjel Bellatreche Languange: en Publisher by: Springer Format Available: PDF, ePub, Mobi Total Read: 14 Total Download: 922 File Size: 43,6 Mb Description: 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 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. The 40 revised full papers presented were carefully reviewed and selected from 143 submissions. Author by: Il-Yeol Song Languange: en Publisher by: Springer Science & Business Media Format Available: PDF, ePub, Mobi Total Read: 56 Total Download: 750 File Size: 49,5 Mb Description: 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. It is a resource of possible solutions and technologies that can be applied when designing, implementing, and deploying a data warehouse, and assists in the dissemination of knowledge in this field. New research and technological achievements in the area of data warehousing are implemented in commercial database management systems, and organizations are developing data warehouse systems into their information system infrastructures.
They provide sophisticated technologies from data integration, data collection and retrieval, query optimization, and data analysis to advanced user interfaces. Author by: Robert Wrembel Languange: en Publisher by: IGI Global Format Available: PDF, ePub, Mobi Total Read: 18 Total Download: 813 File Size: 46,9 Mb Description: Data warehouses and online analytical processing (OLAP) are emerging key technologies for enterprise decision support systems. Written in 'cookbook' format, this book covers all stages of implementation from project planning and requirements analysis, through architecture and design, to administrative issues such as user access, security, and back-up/recovery.
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Author by: Sam Anahory Languange: en Publisher by: Addison-Wesley Professional Format Available: PDF, ePub, Mobi Total Read: 94 Total Download: 663 File Size: 47,9 Mb Description: This is a practical, hands-on guide which explains tried-and-true techniques for developing data warehouses using relational databases and open system technology.
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