Database Systems for Advanced Applications: Lecture Notes in Computer Science
Editat de Shamkant B. Navathe, Weili Wu, Shashi Shekhar, Xiaoyong Du, X. Sean Wang, Hui Xiongen Limba Engleză Paperback – 25 mar 2016
The 61 full papers presented were carefully reviewed andselected from a total of 183 submissions. The papers cover the followingtopics: crowdsourcing, data quality, entity identification, data mining andmachine learning, recommendation, semantics computing and knowledge base,textual data, social networks, complex queries, similarity computing, graphdatabases, and miscellaneous, advanced applications.
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Specificații
ISBN-13: 9783319320243
ISBN-10: 3319320246
Pagini: 572
Ilustrații: XIX, 551 p. 163 illus.
Dimensiuni: 155 x 235 x 31 mm
Greutate: 0.86 kg
Ediția:1st edition 2016
Editura: Springer
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3319320246
Pagini: 572
Ilustrații: XIX, 551 p. 163 illus.
Dimensiuni: 155 x 235 x 31 mm
Greutate: 0.86 kg
Ediția:1st edition 2016
Editura: Springer
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
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Cuprins
Crowdsourcing.-Data Quality.- Entity Identification.- Data Mining and Machine Learning.- Recommendation.-Semantics computing and Knowledge Base.- Textual Data.
Textul de pe ultima copertă
This two volume set LNCS 9642 and LNCS 9643 constitutes the refereed proceedings of the 21st International Conference on Database Systems for Advanced Applications, DASFAA 2016, held in Dallas, TX, USA, in April 2016.
The 61 full papers presented were carefully reviewed and selected from a total of 183 submissions. The papers cover the following topics: crowdsourcing, data quality, entity identification, data mining and machine learning, recommendation, semantics computing and knowledge base, textual data, social networks, complex queries, similarity computing, graph databases, and miscellaneous, advanced applications.
The 61 full papers presented were carefully reviewed and selected from a total of 183 submissions. The papers cover the following topics: crowdsourcing, data quality, entity identification, data mining and machine learning, recommendation, semantics computing and knowledge base, textual data, social networks, complex queries, similarity computing, graph databases, and miscellaneous, advanced applications.
Caracteristici
Includes supplementary material: sn.pub/extras