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Titlebook: Intelligent Information and Database Systems; 9th Asian Conference Ngoc Thanh Nguyen,Satoshi Tojo,Bogdan Trawiński Conference proceedings 2

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發(fā)表于 2025-3-21 18:51:10 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Intelligent Information and Database Systems
副標(biāo)題9th Asian Conference
編輯Ngoc Thanh Nguyen,Satoshi Tojo,Bogdan Trawiński
視頻videohttp://file.papertrans.cn/470/469762/469762.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Intelligent Information and Database Systems; 9th Asian Conference Ngoc Thanh Nguyen,Satoshi Tojo,Bogdan Trawiński Conference proceedings 2
描述The two-volume set LNAI 10191 and 10192 constitutes the refereed proceedings of the 9th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2017, held in Kanazawa, Japan, in April 2017. The total of 152 full papers accepted for publication in these proceedings was carefully reviewed and selected from 420 submissions..They were organized in topical sections named: Knowledge Engineering and Semantic Web; Social Networks and Recommender Systems; Text Processing and Information Retrieval; Intelligent Database Systems; Intelligent Information Systems; Decision Support and Control Systems; Machine Learning and Data Mining; Computer Vision Techniques; Advanced Data Mining Techniques and Applications; Intelligent and Context Systems; Multiple Model Approach to Machine Learning; Applications of Data Science; Artificial Intelligence Applications for E-services; Automated Reasoning and Proving Techniques with Applications in Intelligent Systems; Collective Intelligence forService Innovation, Technology Opportunity, E-Learning and Fuzzy Intelligent Systems; Intelligent Computer Vision Systems and Applications; Intelligent Data Analysis, Applications and Technologies for In
出版日期Conference proceedings 2017
關(guān)鍵詞cloud computing; collaborative learning; data mining; knowledge discovery; semantic Web; big data; bio-ins
版次1
doihttps://doi.org/10.1007/978-3-319-54472-4
isbn_softcover978-3-319-54471-7
isbn_ebook978-3-319-54472-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

書目名稱Intelligent Information and Database Systems影響因子(影響力)




書目名稱Intelligent Information and Database Systems影響因子(影響力)學(xué)科排名




書目名稱Intelligent Information and Database Systems網(wǎng)絡(luò)公開度




書目名稱Intelligent Information and Database Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Intelligent Information and Database Systems被引頻次




書目名稱Intelligent Information and Database Systems被引頻次學(xué)科排名




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Towards Common Vocabulary for IoT Ecosystems—preliminary Considerationsntic interoperability also has to be addressed. This should involve a hierarchy of ontologies, starting from an upper ontology, through core and domain ontologies. As a starting point, we have analyzed ontological models of the concepts of ., ., . and ., as occurring in the IoT domain. We have chose
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Graphical Interface for Ontology Mapping with Application to Access Control complex, hard to maintain and tightly bound to the internal structure of the processed information. We thus discuss how semantic inference can be used together with an intuitive ontology management tool to ease the management of Attribute Based Access Control policies, even by users not experienced
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Collective Knowledge: An Enhanced Analysis of the Impact of Collective Cardinality a knowledge state determined on the basis of collective members’ knowledge states on the same subject (matter) in the real world. The collective members (which are often autonomous units) have their own knowledge bases, thus their knowledge states can be different from each other. The quality is ba
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A New Ontology-Based Approach for Construction of Domain Modeluthors’ research is to elaborate an effective approach to domain model construction based on knowledge extraction from existing ontologies. A significant element of the approach is knowledge extraction algorithm. In this paper, a modified, more flexible version of the extraction algorithm is present
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A Power-Graph Analysis of Non-fast Information Transmissionn-fast transmission model. This paper introduces graphs with logical structure and proposes a method for evaluating the components of such graphs of transmission of information. The method may allow for optimization of transmission. This involves the maximization of the dissemination of non-fast inf
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