Event Sequence arises naturally in many applications. Episode mining can discovery the knowledge hidden in the event sequence. Currently, the most influential algorithm for episode mining is WINEPI. However, it is likely to suffer from the tendency of generating too many of candidate episodes. In this paper, a novel algorithm named DRE for mining frequent episodes is presented. It studied the conditions for the events which can be pruned from the database, so the size of database is reduced gradually. The performance of algorithm DRE was evaluated and compared with WINEPI algorithm. The results demonstrate that the DRE has better performance.
Stock Cloud began as data mining experiment with a very simple goal — "Could we extract Business Partnerships by tracking press releases?" To accomplish this we selected a press release distribution agency, MarketWire, and began tracking releases. Usi
Stock Cloud began as data mining experiment with a very simple goal — "Could we extract Business Partnerships by tracking press releases?" To accomplish this we selected a press release distribution agency, MarketWire, and began tracking releases. Usi
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"La population a hérité de 50 millions de tonnes de résidus radioactifs stockés à Arlit et Areva continue de pomper gratuitement 20 millions de mètres cubes d'eau par an pendant que la population meurent de soif", a dénoncé M. Mamane. Selon lui, "les rues et les habitations d'Arlit sont construits à l'aide de résidus radioactif et la nappe phréatique usée et contaminée s'assèche par la faute d'Areva". "Le pire c'est que Areva continue de nier tout cela", a-t-il déploré.
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