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Titlebook: Data Science; Third International Beiji Zou,Qilong Han,Zeguang Lu Conference proceedings 2017 Springer Nature Singapore Pte Ltd. 2017 Data

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41#
發(fā)表于 2025-3-28 16:36:39 | 只看該作者
Gonzales d’Alcantara,Bernard Amerlyncklity based on residual energy and location distribution of nodes. Then node associate with the cluster head with least communication cost and high residual energy. Simulation results show that ADEEC achieves longer stability period, network lifetime, and throughput than the other classical clustering algorithms.
42#
發(fā)表于 2025-3-28 20:38:17 | 只看該作者
43#
發(fā)表于 2025-3-29 02:26:22 | 只看該作者
Data Science978-981-10-6388-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
44#
發(fā)表于 2025-3-29 06:13:41 | 只看該作者
Beiji Zou,Qilong Han,Zeguang LuIncludes supplementary material:
45#
發(fā)表于 2025-3-29 09:27:20 | 只看該作者
46#
發(fā)表于 2025-3-29 13:08:25 | 只看該作者
47#
發(fā)表于 2025-3-29 16:10:49 | 只看該作者
978-981-10-6387-9Springer Nature Singapore Pte Ltd. 2017
48#
發(fā)表于 2025-3-29 23:31:21 | 只看該作者
49#
發(fā)表于 2025-3-30 03:16:59 | 只看該作者
,Aktuelle F?lle der Wirtschaftsspionage, strategies in social network. Most existing studies mainly focus on designing efficient algorithms or heuristics to find Top-K influential individuals for static network. However, when the network is evolving over time, the static algorithms have to be re-executed which will incur tremendous execut
50#
發(fā)表于 2025-3-30 04:49:03 | 只看該作者
https://doi.org/10.1007/978-1-4302-0733-7Naive Bayesian text classification and term frequency. Firstly, the keywords sets of App software’s user reviews are extracted. Then, the keywords sets are optimized. Finally, the relevance score of the user reviews are calculated, and whether the user reviews are relevant is judged. Through the exp
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