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Titlebook: Advanced Data Mining and Applications; 5th International Co Ronghuai Huang,Qiang Yang,Xue Li Conference proceedings 2009 Springer-Verlag Be

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樓主: Iridescent
21#
發(fā)表于 2025-3-25 05:56:23 | 只看該作者
Conference proceedings 2009ctor of Research, Google China, gave a talk titled "Confucius and ‘Its‘ Intelligent Disciples". Being right in the forefront of data mining applications to the world‘s largest knowledge and data base, the Web, Dr. Chang - scribed how Google‘s Knowledge Search product help to improve the scalability
22#
發(fā)表于 2025-3-25 08:37:20 | 只看該作者
https://doi.org/10.1007/978-3-658-20742-7 complaining that too few market manipulators were being caught. In this talk, I will discuss issues related to this topic, present case studies and lessons learned in identifying abnormal trading behavior in capital markets. I will discuss the use of data mining techniques in this area such as acti
23#
發(fā)表于 2025-3-25 15:16:22 | 只看該作者
24#
發(fā)表于 2025-3-25 19:14:29 | 只看該作者
25#
發(fā)表于 2025-3-25 20:57:36 | 只看該作者
26#
發(fā)表于 2025-3-26 03:21:50 | 只看該作者
https://doi.org/10.1007/978-3-662-41296-1e very loose error bounds..This explains why classification systems generally rely on experimental validation for their claims on prediction accuracy. In this talk we will revisit this problem and explore the idea of developing a new generalization error model based on the assumption that only predi
27#
發(fā)表于 2025-3-26 05:39:13 | 只看該作者
28#
發(fā)表于 2025-3-26 09:53:56 | 只看該作者
https://doi.org/10.1007/978-3-658-20742-7 cluster two objects together providing that their similarity is above a threshold. However, how to set this threshold ? This paper gives some insights regarding this issue by extending some clustering functions designed for categorical data to the more general case of real continuous data. In order
29#
發(fā)表于 2025-3-26 14:49:46 | 只看該作者
30#
發(fā)表于 2025-3-26 20:40:05 | 只看該作者
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