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Titlebook: Intelligent Data Engineering and Automated Learning – IDEAL 2016; 17th International C Hujun Yin,Yang Gao,Antonio J. Tallón-Ballesteros Con

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51#
發(fā)表于 2025-3-30 08:56:32 | 只看該作者
52#
發(fā)表于 2025-3-30 15:24:25 | 只看該作者
Conference proceedings 2016 held in Yangzhou, China, in October 2016. ..The 68 full papers presented were carefully reviewed and selected from 115 submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging from methodologies, frameworks, and techniques
53#
發(fā)表于 2025-3-30 19:19:41 | 只看該作者
54#
發(fā)表于 2025-3-30 21:05:40 | 只看該作者
55#
發(fā)表于 2025-3-31 03:50:04 | 只看該作者
A Note on the ,-NN Density Estimate, sense or in almost surely sense) has been respectively developed. In this note, we will show that the .-NN estimator converges in probability is equivalent to converge in the . sense. Moreover, some relevant asymptotic results about the expectations of .-NN estimator will be established.
56#
發(fā)表于 2025-3-31 06:28:54 | 只看該作者
Modified-DBSCAN Clustering for Identifying Traffic Accident Prone Locations,chosen for identifying traffic accident prone locations. Experimental results on traffic accident datasets of three national expressways are given, demonstrating the effectiveness of the proposed algorithm.
57#
發(fā)表于 2025-3-31 10:52:00 | 只看該作者
A Novel Link Prediction Algorithm Based on Spatial Mapping in PPI Network,ed on the topological and attribute similarity between proteins. This paper also studies the way of balancing attribute similarity and topological similarity. The experimental results on yeast PPI network show that the proposed algorithm has higher accuracy and good biometric characteristic.
58#
發(fā)表于 2025-3-31 16:52:59 | 只看該作者
0302-9743 neering and Automated Learning, IDEAL 2016, held in Yangzhou, China, in October 2016. ..The 68 full papers presented were carefully reviewed and selected from 115 submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging fro
59#
發(fā)表于 2025-3-31 17:58:27 | 只看該作者
60#
發(fā)表于 2025-4-1 01:30:01 | 只看該作者
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