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Titlebook: Database Systems for Advanced Applications; DASFAA 2018 Internat Chengfei Liu,Lei Zou,Jianxin Li Conference proceedings 2018 Springer Inter

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31#
發(fā)表于 2025-3-26 23:49:04 | 只看該作者
ALO-DM: A Smart Approach Based on Ant Lion Optimizer with Differential Mutation Operator in Big Datafferential mutation operator and greedy strategy enhance the diversity of the population. In addition, combining it with data mining algorithms can be useful and practical in big data analytics problems. The simulation results not only show that the ALO-DM is able to obtain accurate solution, but also demonstrate that it is feasible and effective.
32#
發(fā)表于 2025-3-27 03:36:17 | 只看該作者
Conference proceedings 2018ing workshops: the 5th International Workshop on Big Data Management and Service, BDMS 2018; the Third International Workshop on Big Data Quality Management, BDQM 2018; the Second International Workshop on Graph Data Management and Analysis, GDMA 2018; and the 5th International Workshop on Semantic Computing and Personalization, SeCoP 2018..
33#
發(fā)表于 2025-3-27 08:29:47 | 只看該作者
34#
發(fā)表于 2025-3-27 12:16:33 | 只看該作者
35#
發(fā)表于 2025-3-27 15:02:50 | 只看該作者
36#
發(fā)表于 2025-3-27 21:44:48 | 只看該作者
37#
發(fā)表于 2025-3-28 00:25:20 | 只看該作者
Constructing Separable Objective Functionsrate their risk estimation into the process of probability computation. Our experiments on real data shows that the proposed approach can achieve considerable improvements in performance over 2 state-of-the-art alternatives, and the proposed risk reduction technique can effectively improve validity time reasoning’s precision.
38#
發(fā)表于 2025-3-28 05:29:42 | 只看該作者
Roles, Responsibilities and Boundary Ridinge propose a first variance-based approach for cleaning time series. In order to support the stream computation, we consider the data in a window as a whole and adopt the idea of sliding window to solve the problem in stream computation.
39#
發(fā)表于 2025-3-28 09:01:17 | 只看該作者
40#
發(fā)表于 2025-3-28 13:58:36 | 只看該作者
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