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Titlebook: Knowledge Science, Engineering and Management; 12th International C Christos Douligeris,Dimitris Karagiannis,Dimitris Conference proceedin

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書目名稱Knowledge Science, Engineering and Management
副標(biāo)題12th International C
編輯Christos Douligeris,Dimitris Karagiannis,Dimitris
視頻videohttp://file.papertrans.cn/545/544065/544065.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Knowledge Science, Engineering and Management; 12th International C Christos Douligeris,Dimitris Karagiannis,Dimitris  Conference proceedin
描述.This two-volume set of LNAI 11775 and LNAI 11776 constitutes the refereed proceedings of the 12th International Conference on Knowledge Science, Engineering and Management, KSEM 2019, held in Athens, Greece, in August 2019.. The 77 revised full papers and 23 short papers presented together with 10 poster papers were carefully reviewed and selected from 240 submissions. The papers of the first volume are organized in the following topical sections: Formal Reasoning and Ontologies; Recommendation Algorithms and Systems; Social Knowledge Analysis and Management ; Data Processing and Data Mining; Image and Video Data Analysis; Deep Learning; Knowledge Graph and Knowledge Management; Machine Learning; and Knowledge Engineering Applications. ..The papers of the second volume are organized in the following topical sections: Probabilistic Models and Applications; Text Mining and Document Analysis; Knowledge Theories and Models; and Network Knowledge Representation and Learning.?.
出版日期Conference proceedings 2019
關(guān)鍵詞classification; classification accuracy; data mining; image processing; information retrieval; knowledge-
版次1
doihttps://doi.org/10.1007/978-3-030-29563-9
isbn_softcover978-3-030-29562-2
isbn_ebook978-3-030-29563-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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TagDeepRec: Tag Recommendation for Software Information Sites Using Attention-Based Bi-LSTMfacilitating information classification and organization. However, the insufficient understanding of software objects and the lack of relevant knowledge among developers may lead to incorrect tags. Thus, the automatic tag recommendation technique has been proposed. However, tag explosion and tag syn
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Application of Probabilistic Process Model for Smart Factory Systemsertainty, it is necessary to model predictability of the systems, based on the uncertainty. There have been several process algebras with probability, such as, PAROMA, PACSR, etc. However they are not well suitable for the smart systems, since they are based only on discrete model or exponential mod
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Dynamic Task-Specific Factors for Meta-Embeddingemantics. The supervised learning of task-specific meta-embedding is a convenient way to make use of accessible pre-trained word embeddings. However, the weights for different word embeddings are hard to calculate. We introduce the dynamic task-specific factors into meta-embedding (DTFME), which are
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