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Titlebook: Recent Progress in Data Engineering and Internet Technology; Volume 1 Ford Lumban Gaol Conference proceedings 2013 Springer-Verlag GmbH Ber

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31#
發(fā)表于 2025-3-26 22:04:55 | 只看該作者
32#
發(fā)表于 2025-3-27 02:00:31 | 只看該作者
,Towards Smart Advisor’s Framework Based on Multi Agent Systems and Data Mining Methods, are distributed and can be implemented by multi agent system to use advantages of autonomous intelligent agents. In this paper we present an automated approach for a recommendation system using autonomous intelligent agent with data mining techniques. A case study has been implemented and examined under mentioned situations.
33#
發(fā)表于 2025-3-27 08:57:44 | 只看該作者
34#
發(fā)表于 2025-3-27 10:37:18 | 只看該作者
,Prediction Model Based on PCA - DRKM–RBF,and the RBF neural network’s hidden nodes are the centers using DRKM. The paper forecasts the cyclodextrin closure constant, and the results indicate that the model has obviously improved the accuracy of prediction.
35#
發(fā)表于 2025-3-27 14:17:55 | 只看該作者
An Eigenvector-Based Kernel Clustering Approach to Detecting Communities in Complex Networks,mmunities in complex networks, called two-layer approach. Experimental results indicate that it have better performance comparing with either direct kernel .-means algorithm or direct spectral clustering algorithm in term of quality.
36#
發(fā)表于 2025-3-27 20:57:32 | 只看該作者
37#
發(fā)表于 2025-3-27 22:55:04 | 只看該作者
Automatic LSA-Based Retrieval of Synonyms (for Search Space Extension),y, the generated hypotheses are proven right or wrong by means of examination of morphologic bindings between the two words and of the overall syntactic structure of the context in which they appear, namely the subject-object relation. The retrieved synonyms are used to extend the search space where a QA system mines the answers.
38#
發(fā)表于 2025-3-28 05:56:51 | 只看該作者
39#
發(fā)表于 2025-3-28 09:45:13 | 只看該作者
Time Series Subsequence Matching Based on Middle Points and Clipping,. The most promising one is the method that carries out similarity search in two steps: reducing on the dimensionality of time series data, then indexing the reduced data with a multidimensional index structure.
40#
發(fā)表于 2025-3-28 13:13:06 | 只看該作者
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