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

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31#
發(fā)表于 2025-3-26 22:32:19 | 只看該作者
32#
發(fā)表于 2025-3-27 04:25:42 | 只看該作者
33#
發(fā)表于 2025-3-27 06:17:19 | 只看該作者
Research of Detection Algorithm for Time Series Abnormal Subsequence,aracteristic of some special time series. To speed up the process of abnormal subsequence detection, we used the clustering method to optimize the outer loop ordering and early abandon subsequence which is impossible to be abnormal. The experiment results validate that the algorithm is correct and has a high efficiency.
34#
發(fā)表于 2025-3-27 11:41:28 | 只看該作者
Research on Pattern Matching Method of Multivariate Hydrological Time Series,easure of similarity in sequences. Carrying out experiments on the hydrological data of Chu River, we conclude that the pattern matching method can effectively describe the overall characteristics of the multivariate time series, which has a good matching effect on the multivariate hydrological time series.
35#
發(fā)表于 2025-3-27 14:40:37 | 只看該作者
A Novel Recommendation Service Method Based on Cloud Model and User Personality, user characteristic attribute Web service recommendation is implemented by personalized collaborative filtering algorithm. The experimental results on the WS-Dream dataset show that our approach not only solves the drawbacks of the sparse user service, but also improves the recommend accuracy.
36#
發(fā)表于 2025-3-27 18:34:22 | 只看該作者
37#
發(fā)表于 2025-3-27 23:04:45 | 只看該作者
https://doi.org/10.1007/978-3-540-78973-4We judge the text whether it is positive or negative first, then choose the fine-grained emotional tendency. And we get good result with the test using COAE data set. Compared with other method for feature selection and other emotional library, we did better.
38#
發(fā)表于 2025-3-28 02:20:25 | 只看該作者
39#
發(fā)表于 2025-3-28 07:52:40 | 只看該作者
40#
發(fā)表于 2025-3-28 13:45:03 | 只看該作者
Conference proceedings 2017ngineers and Educators, ICPCSEE 2017 (originally ICYCSEE)?held in Changsha, China, in September 2017.?.The 112 revised full papers presented in these two volumes were carefully reviewed and selected from 987 submissions. The papers cover a wide range of topics related to Basic Theory and Techniques
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