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Titlebook: ECML PKDD 2018 Workshops; MIDAS 2018 and PAP 2 Carlos Alzate,Anna Monreale,Tiziano Squartini Conference proceedings 2019 Springer Nature Sw

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樓主: Cession
41#
發(fā)表于 2025-3-28 15:19:07 | 只看該作者
George Martin,Charles Ogburn,Curtis Spragueempirically assessing privacy risk in the releasing of individual purchasing data. The experiments on real-world retail data show that although individual patterns describe a summary of the customer activity, they may be successful used for the customer re-identifiation.
42#
發(fā)表于 2025-3-28 21:40:48 | 只看該作者
43#
發(fā)表于 2025-3-28 23:27:18 | 只看該作者
44#
發(fā)表于 2025-3-29 03:20:47 | 只看該作者
The Transition to Incipient Modern Algebra,t computationally expensive public key operations, while it is still secure and avoids precision losses. We report the runtime results on some real-world datasets, and discuss different security aspects and finally give an outlook on further improvements.
45#
發(fā)表于 2025-3-29 07:58:05 | 只看該作者
46#
發(fā)表于 2025-3-29 12:14:17 | 只看該作者
47#
發(fā)表于 2025-3-29 17:39:23 | 只看該作者
48#
發(fā)表于 2025-3-29 19:55:52 | 只看該作者
49#
發(fā)表于 2025-3-29 23:56:18 | 只看該作者
50#
發(fā)表于 2025-3-30 04:52:29 | 只看該作者
Deep Factor Modelysis on the Japanese stock market and show that our deep factor model has better predictive capability than the traditional linear model or other machine learning methods. In addition, we illustrate which factor contributes to prediction.
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