Transactions on Large-Scale Data- and Knowledge-Centered by Abdelkader Hameurlain,Josef Küng,Roland Wagner,Alfredo PDF

The LNCS magazine Transactions on Large-Scale facts- and Knowledge-Centered platforms specializes in facts administration, wisdom discovery, and data processing, that are center and sizzling themes in machine technological know-how. because the Nineties, the net has develop into the most motive force in the back of program improvement in all domain names. a rise within the call for for source sharing throughout assorted websites attached via networks has resulted in an evolution of information- and knowledge-management structures from centralized structures to decentralized structures permitting large-scale dispensed functions supplying excessive scalability. present decentralized platforms nonetheless concentrate on info and data as their major source. Feasibility of those platforms is predicated primarily on P2P (peer-to-peer) concepts and the aid of agent platforms with scaling and decentralized keep watch over. Synergy among grids, P2P platforms, and agent applied sciences is the major to info- and knowledge-centered platforms in large-scale environments.

This quantity, the twenty first factor of Transactions on Large-Scale info- and Knowledge-Centered structures, specializes in facts Warehousing and data Discovery from mammoth information, and comprises prolonged and revised types of 8 papers chosen because the top papers from the 14th overseas convention on information Warehousing and data Discovery (DaWaK 2012), held in Vienna, Austria, in the course of September 3-6, 2012. those papers disguise a number of complicated giant info issues, starting from info dice computation utilizing MapReduce to a number of aggregations over multidimensional databases, from information warehousing platforms over complicated strength facts to OLAP-based prediction versions, from prolonged question engines for non-stop movement analytics to well known trend mining, and from infrequent trend mining to superior wisdom discovery from huge cross-document corpora.