Transactions On Large-scale Data- And Knowledge-centered Systems Xxvi: Special Issue On Data Warehousing And Knowledge Discovery (lecture Notes In Computer Science)
by Ladjel Bellatreche /
2016 / English / PDF
10.1 MB Download
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 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. Current decentralized systems still
focus on data and knowledge as their main resource. Feasibility of
these systems relies basically on P2P (peer-to-peer) techniques and
the support of agent systems with scaling and decentralized
control. Synergy between grids, P2P systems, and agent technologies
is the key to data- and knowledge-centered systems in large-scale
environments.
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 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. Current decentralized systems still
focus on data and knowledge as their main resource. Feasibility of
these systems relies basically on P2P (peer-to-peer) techniques and
the support of agent systems with scaling and decentralized
control. Synergy between grids, P2P systems, and agent technologies
is the key to data- and knowledge-centered systems in large-scale
environments.
This volume, the 26th issue of Transactions on Large-Scale Data-
and Knowledge-Centered Systems, focuses on Data Warehousing and
Knowledge Discovery from Big Data, and contains extended and
revised versions of four papers selected as the best papers from
the 16th International Conference on Data Warehousing and
Knowledge Discovery (DaWaK 2014), held in Munich, Germany, during
September 1-5, 2014. The papers focus on data cube computation,
the construction and analysis of a data warehouse in the context
of cancer epidemiology, pattern mining algorithms, and frequent
item-set border approximation.
This volume, the 26th issue of Transactions on Large-Scale Data-
and Knowledge-Centered Systems, focuses on Data Warehousing and
Knowledge Discovery from Big Data, and contains extended and
revised versions of four papers selected as the best papers from
the 16th International Conference on Data Warehousing and
Knowledge Discovery (DaWaK 2014), held in Munich, Germany, during
September 1-5, 2014. The papers focus on data cube computation,
the construction and analysis of a data warehouse in the context
of cancer epidemiology, pattern mining algorithms, and frequent
item-set border approximation.
