Classical chess engines exhaustively explore moving possibilities from a chessboard configuration to choose what the next best move to play is. In this article we present a new me...
Traditional methods of association rule mining consider the appearance of an item in a transaction, whether or not it is purchased, as a binary variable. However, customers may pu...
In this paper a number of alternative strategies for distributed/parallel association rule mining are investigated. The methods examined make use of a data structure, the T-tree, ...
d abstract Marc Andries, Leiden University Luca Cabibbo, University of Romey Jan Paredaens, University of Antwerpz Jan Van den Bussche, INRIAx In the context of object databases...
Marc Andries, Luca Cabibbo, Jan Paredaens, Jan Van...
Similarity-based grouping of data entries in one or more data sources is a task underlying many different data management tasks, such as, structuring search results, removal of red...