Browsing 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences by Subject "Wide selection"
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Conference Object
AKAMAS: Mining association rules using a new algorithm for the assessment of the risk of coronary heart events
(2009)Many algorithms have been developed for rule mining in large transaction databases. Discovery of some important association rules is a main database mining problem. The objective of this study was to develop a new data ...
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Conference Object
Fine-grain parallelism using multi-core, cell/BE, and GPU systems: Accelerating the phylogenetic likelihood function
(2009)We are currently faced with the situation where applications have increasing computational demands and there is a wide selection of parallel processor systems. In this paper we focus on exploiting fine-grain parallelism ...