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Titlebook: Advanced Data Mining and Applications; Second International Xue Li,Osmar R. Za?ane,Zhanhuai Li Conference proceedings 2006 Springer-Verlag

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樓主: 廚房默契
51#
發(fā)表于 2025-3-30 09:43:56 | 只看該作者
52#
發(fā)表于 2025-3-30 13:29:36 | 只看該作者
Incremental Maintenance of Association Rules Based on Multiple Previously Mined Resultsand the industry are being asked to demonstrate that measures are being taken to prevent an occurrence such as the inadvertent introduction of Aventis Crop Science’s StarLink brand corn into the human food chain.
53#
發(fā)表于 2025-3-30 17:44:16 | 只看該作者
Music Style Classification with a Novel Bayesian Modeler Eisen- und Stahlindustrie, wo es “nicht bei allen Verbrauchsfaktoren starre Proportionalit?ten zwischen Erzeugungsmengen und Verbrauchsmengen gibt”., so z. B. beim Faktor Werkstoff, der sich durch flexible Einsatzverh?ltnisse auszeichnet.
54#
發(fā)表于 2025-3-30 21:48:24 | 只看該作者
SA-IFIM: Incrementally Mining Frequent Itemsets in Update Distorted Databasesing material. The production and enrichment of secondary metabolites to fulfil the rising commercial demands are also achieved by focusing on biotic and abiotic elicitors in callus and cell suspension cultures of . species have also been highlighted in the present compilation.
55#
發(fā)表于 2025-3-31 04:27:53 | 只看該作者
56#
發(fā)表于 2025-3-31 07:11:30 | 只看該作者
57#
發(fā)表于 2025-3-31 13:05:54 | 只看該作者
A Fast Algorithm for Maintenance of Association Rules in Incremental Databasesactivities across the sedimentary units, depicting changes in land use and management over time for refuse disposal. The occurrence of decreasing concentration of organic waste towards the top of the sediment profile in tandem with phosphate concentration was considered to be an indicator of the gradual abandonment of the midden.
58#
發(fā)表于 2025-3-31 15:55:36 | 只看該作者
59#
發(fā)表于 2025-3-31 20:17:31 | 只看該作者
60#
發(fā)表于 2025-3-31 23:01:26 | 只看該作者
Diamagnetic Current at Surface, . and representing it with bit vector, the transaction database is transformed into machine oriented model to perform fast support computation. The performance studies show the efficiency of our algorithm.
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