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Titlebook: Genetic and Evolutionary Computing; Proceedings of the E Jerry Chun-Wei Lin,Jeng-Shyang Pan,Chien-Ming Chen Conference proceedings 2018 Spr

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發(fā)表于 2025-3-23 11:38:39 | 只看該作者
https://doi.org/10.1057/9780230275331tion may not be considered in those approaches. Hence, this study takes stock price series into consideration and presents a perceptually important point (PIP)-based approach for obtaining a GSP. Since the PIP is used, the proposed approach can handle stock price series with different lengths, which
12#
發(fā)表于 2025-3-23 16:33:40 | 只看該作者
13#
發(fā)表于 2025-3-23 19:53:56 | 只看該作者
https://doi.org/10.1007/978-1-349-26816-0oach uses the bitmap concept to save processing time. Through experimental evaluation, simulation datasets were used to compare the traditional erasable itemset mining and the proposed approach under various experimental conditions.
14#
發(fā)表于 2025-3-23 23:07:58 | 只看該作者
https://doi.org/10.1007/978-94-007-6754-6r a fair place for trading. Unfortunately, market manipulation of different forms still exists. Limited researches worked on this area due to restriction in data supply. Exchanges and regulators do not offer full order book to the public. Without a full order book, it is difficult to locate the frau
15#
發(fā)表于 2025-3-24 04:05:12 | 只看該作者
16#
發(fā)表于 2025-3-24 08:37:01 | 只看該作者
https://doi.org/10.1007/978-3-322-80931-5all and medium size databases. However, when applied on larger databases, the performance of this method becomes an important issue and current algorithms have very long execution times. Modern CPU/GPU architectures are composed of many cores, which are massively threaded and provide a large amount
17#
發(fā)表于 2025-3-24 14:11:22 | 只看該作者
18#
發(fā)表于 2025-3-24 17:14:00 | 只看該作者
19#
發(fā)表于 2025-3-24 22:56:59 | 只看該作者
20#
發(fā)表于 2025-3-25 02:18:17 | 只看該作者
Democratic Governance in Scandinaviaase network may have correlation with image shape feature. We develop a simple image shape retrieval model to automatically identify the items that the buyer would be interested. The results provide new insights into user behavior. Based on the results, we found that people would buy items which are
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