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Machine Learning and Knowledge Extraction
  • Language: en
  • Pages: 335

Machine Learning and Knowledge Extraction

This volume LNCS-IFIP constitutes the refereed proceedings of the 7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023 in Benevento, Italy, during August 28 – September 1, 2023. The 18 full papers presented together were carefully reviewed and selected from 30 submissions. The conference focuses on integrative machine learning approach, considering the importance of data science and visualization for the algorithmic pipeline with a strong emphasis on privacy, data protection, safety and security.

Data Warehousing and Knowledge Discovery
  • Language: en
  • Pages: 448

Data Warehousing and Knowledge Discovery

The Second International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2000) was held in Greenwich, UK 4–6 September. DaWaK 2000 was a forum where researchers from data warehousing and knowledge discovery disciplines could exchange ideas on improving next generation decision support and data mining systems. 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 data warehousing, multidimensional databases, OLAP, knowledge discovery and mining complex databases. These proceedings contain the technical papers selected for presentation at ...

Data Warehouses and OLAP: Concepts, Architectures and Solutions
  • Language: en
  • Pages: 360

Data Warehouses and OLAP: Concepts, Architectures and Solutions

  • Type: Book
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  • Published: 2006-10-31
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  • Publisher: IGI Global

"This book provides an insight into important research and technological problems, solutions, and development trends in the field of data warehousing and OLAP. It also serves as an up-to-date bibliography of published works for anyone interested in cutting-edge DW and OLAP issues"--Provided by publisher.

Database Security XII
  • Language: en
  • Pages: 324

Database Security XII

New technology is always evolving and companies must have appropriate security for their business to be able to keep up-to-date with the changes. With the rapid growth in internet and www facilities, database security will always be a key topic in business and in the public sector and has implications for the whole of society. Database Security Volume XII covers issues related to security and privacy of information in a wide range of applications, including: Electronic Commerce Informational Assurances Workflow Privacy Policy Modeling Mediation Information Warfare Defense Multilevel Security Role-based Access Controls Mobile Databases Inference Data Warehouses and Data Mining. This book contains papers and panel discussions from the Twelfth Annual Working Conference on Database Security, organized by the International Federation for Information Processing (IFIP) and held July 15-17, 1998 in Chalkidiki, Greece. Database Security Volume XII will prove invaluable reading for faculty and advanced students as well as for industrial researchers and practitioners working in the area of database security research and development.

Data Warehousing and Knowledge Discovery
  • Language: en
  • Pages: 413

Data Warehousing and Knowledge Discovery

This book constitutes the refereed proceedings of the First International Conference on Data Warehousing and Knowledge Discovery, DaWaK'99, held in Florence, Italy in August/September 1999. The 31 revised full papers and nine short papers presented were carefully reviewed and selected from 88 submissions. The book is divided in topical sections on data warehouse design; online analytical processing; view synthesis, selection, and optimization; multidimensional databases; knowledge discovery; association rules; inexing and object similarities; generalized association rules and data and web mining; time series data bases; data mining applications and data analysis.

Machine Learning and Knowledge Extraction
  • Language: en
  • Pages: 552

Machine Learning and Knowledge Extraction

This book constitutes the refereed proceedings of the 4th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2020, held in Dublin, Ireland, in August 2020. The 30 revised full papers presented were carefully reviewed and selected from 140 submissions. The cross-domain integration and appraisal of different fields provides an atmosphere to foster different perspectives and opinions; it will offer a platform for novel ideas and a fresh look on the methodologies to put these ideas into business for the benefit of humanity. Due to the Corona pandemic CD-MAKE 2020 was held as a virtual event.

Data Warehousing and Knowledge Discovery
  • Language: en
  • Pages: 592

Data Warehousing and Knowledge Discovery

This book constitutes the refereed proceedings of the 8th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2006, held in conjunction with DEXA 2006. The book presents 53 revised full papers, organized in topical sections on ETL processing, materialized view, multidimensional design, OLAP and multidimensional model, cubes processing, data warehouse applications, mining techniques, frequent itemsets, mining data streams, ontology-based mining, clustering, advanced mining techniques, association rules, miscellaneous applications, and classification.

Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIV
  • Language: en
  • Pages: 195

Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIV

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. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) 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. This, the 44th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six fully revised and extended papers selected from the 35th conference on Data Management – Principles, Technologies and Applications, BDA 2019. The topics covered include big data, graph data streams, workflow execution in the cloud, privacy in crowdsourcing, secure distributed computing, machine learning, and data mining for recommendation systems.

Transactions on Large-Scale Data- and Knowledge-Centered Systems LII
  • Language: en
  • Pages: 157

Transactions on Large-Scale Data- and Knowledge-Centered Systems LII

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. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) 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. This, the 52nd issue of Transactions on Large-Scale Data and Knowledge-Centered Systems, contains 6 fully revised selected regular papers.

Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIII
  • Language: en
  • Pages: 139

Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIII

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. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) 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. This, the 43rd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include classification tasks, machine learning algorithms, top-k queries, business process redesign and a knowledge capitalization framework.