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Titlebook: Data Mining for Business Applications; Longbing Cao,Philip S. Yu,Huaifeng Zhang Book 2009 Springer-Verlag US 2009 Business Decision Making

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樓主: adulation
21#
發(fā)表于 2025-3-25 04:56:47 | 只看該作者
22#
發(fā)表于 2025-3-25 08:20:43 | 只看該作者
https://doi.org/10.1007/978-1-349-03354-6ather than dig useful knowledge from the huge amount of discorded patterns or rules. The proposed ontology mining model is evaluated by applying to an information gathering system, and the results are promising.
23#
發(fā)表于 2025-3-25 11:56:20 | 只看該作者
24#
發(fā)表于 2025-3-25 16:02:20 | 只看該作者
25#
發(fā)表于 2025-3-25 21:01:23 | 只看該作者
Ontology Mining for Personalized Searchather than dig useful knowledge from the huge amount of discorded patterns or rules. The proposed ontology mining model is evaluated by applying to an information gathering system, and the results are promising.
26#
發(fā)表于 2025-3-26 01:52:54 | 只看該作者
27#
發(fā)表于 2025-3-26 06:15:46 | 只看該作者
On Mining Maximal Pattern-Based Clustersgressively refining search and prune unpromising branches smartly. MaPle+ integrates several interesting heuristics further. Our extensive performance study on both synthetic data sets and real data sets shows that maximal pattern-based clustering is effective — it reduces the number of clusters sub
28#
發(fā)表于 2025-3-26 10:31:29 | 只看該作者
29#
發(fā)表于 2025-3-26 12:59:49 | 只看該作者
30#
發(fā)表于 2025-3-26 19:46:50 | 只看該作者
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