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Titlebook: Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health; International 2019 C Huansheng Ning Conference proceedings 2019 S

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21#
發(fā)表于 2025-3-25 06:56:28 | 只看該作者
Application of Principal Component Analysis for Assessment the Behavior of Knowledge Managementl greatly benefit the development of economics, and society. It is difficult to assess the management of knowledge. Principal component analysis has been used to the knowledge management with the economic data, population data, educational data, research data for two developing countries and two dev
22#
發(fā)表于 2025-3-25 09:57:48 | 只看該作者
23#
發(fā)表于 2025-3-25 15:20:21 | 只看該作者
An Approach for Semantic Web Discovery Using Unsupervised Learning Algorithmsr this reason, research in web service clustering has recently gained much attention. Most existing clustering methods perform well when dealing with long text documents. However, the textdescriptions of web services are in the form of short text. Meanwhile, it is meaningful to consider word order i
24#
發(fā)表于 2025-3-25 19:35:54 | 只看該作者
25#
發(fā)表于 2025-3-25 20:18:29 | 只看該作者
26#
發(fā)表于 2025-3-26 03:07:31 | 只看該作者
27#
發(fā)表于 2025-3-26 05:18:14 | 只看該作者
FLSTM: Feature Pattern-Based LSTM for Imbalanced Big Data Analysisimbalanced data. This paper proposes a feature pattern-based LSTM method (called FLSTM, Feature based Long Short Term Memory) to analyze failures through processing imbalanced data. The method constructs a time-series feature matrix as the input to the LSTM model. In addition, we propose a failure p
28#
發(fā)表于 2025-3-26 10:24:49 | 只看該作者
A Construction Method of Author Influence Map Based on Data Field Theory and Entropy Weight Methodlationship can help us quickly screen and search for influential authors from a large number of authors, and then can be applied to author ranking, author recommendation and other systems. A method of building an author influence map is proposed in this paper. By introducing entropy weight method, e
29#
發(fā)表于 2025-3-26 16:38:40 | 只看該作者
Online Public Opinion Deduction Based on an Innovative Cellular Automatay disseminate through the Internet. Some negative comments usually are mixed into posts and articles. If let public opinion develop at will, some serious social events may trigger very fierce online volatility and they will have adverse effects on social stability. Therefore, to simulate the propaga
30#
發(fā)表于 2025-3-26 18:52:45 | 只看該作者
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