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Transactions on large-scale data- an...
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Hameurlain, Abdelkader.
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Transactions on large-scale data- and knowledge-centered systems XLV = special issue on data management and knowledge extraction in digital ecosystems /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Transactions on large-scale data- and knowledge-centered systems XLV/ edited by Abdelkader Hameurlain ... [et al.].
其他題名:
special issue on data management and knowledge extraction in digital ecosystems /
其他題名:
Transactions on large-scale data- and knowledge-centered systems 45
其他作者:
Hameurlain, Abdelkader.
出版者:
Berlin, Heidelberg :Springer Berlin Heidelberg : : 2020.,
面頁冊數:
xiii, 221 p. :ill., digital ;24 cm.
內容註:
Interoperable Data Extraction and Analytics Queries over Blockchains -- Exploiting Twitter for Informativeness Classification in Disaster Situations -- COTILES: Leveraging Content and Structure for Evolutionary Community Detection -- A Weighted Feature-Based Image Quality Assessment Framework in Real-Time -- Sharing Knowledge in Digital Ecosystems Using Semantic Multimedia Big Data -- Facilitating and Managing Machine Learning and Data Analysis Tasks in Big Data Environments Using Web and Microservice Technologies -- Stable Marriage Matching for Homogenizing Load Distribution in a Cloud Data Center -- A Sentiment Analysis Software Framework for the Support of Business Information Architecture in the Tourist Sector.
Contained By:
Springer Nature eBook
標題:
Data mining. -
電子資源:
https://doi.org/10.1007/978-3-662-62308-4
ISBN:
9783662623084
Transactions on large-scale data- and knowledge-centered systems XLV = special issue on data management and knowledge extraction in digital ecosystems /
Transactions on large-scale data- and knowledge-centered systems XLV
special issue on data management and knowledge extraction in digital ecosystems /[electronic resource] :Transactions on large-scale data- and knowledge-centered systems 45edited by Abdelkader Hameurlain ... [et al.]. - Berlin, Heidelberg :Springer Berlin Heidelberg :2020. - xiii, 221 p. :ill., digital ;24 cm. - Lecture notes in computer science,123900302-9743 ;. - Lecture notes in computer science ;12390..
Interoperable Data Extraction and Analytics Queries over Blockchains -- Exploiting Twitter for Informativeness Classification in Disaster Situations -- COTILES: Leveraging Content and Structure for Evolutionary Community Detection -- A Weighted Feature-Based Image Quality Assessment Framework in Real-Time -- Sharing Knowledge in Digital Ecosystems Using Semantic Multimedia Big Data -- Facilitating and Managing Machine Learning and Data Analysis Tasks in Big Data Environments Using Web and Microservice Technologies -- Stable Marriage Matching for Homogenizing Load Distribution in a Cloud Data Center -- A Sentiment Analysis Software Framework for the Support of Business Information Architecture in the Tourist Sector.
The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 45th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains eight revised selected regular papers. Topics covered include data analysis, information extraction, blockchains, and big data.
ISBN: 9783662623084
Standard No.: 10.1007/978-3-662-62308-4doiSubjects--Topical Terms:
562972
Data mining.
LC Class. No.: QA76.9.D343 / T73 2020
Dewey Class. No.: 006.312
Transactions on large-scale data- and knowledge-centered systems XLV = special issue on data management and knowledge extraction in digital ecosystems /
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