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.
