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2016, ISBN: 3662495201
[EAN: 9783662495209], Neubuch, [PU: Springer Berlin Heidelberg], INTELLIGENZ / KÜNSTLICHE INTELLIGENZ; KI; - AI; MODELLIEREN (ALLGEMEIN) MODELLIERUNG; NETZWERK (ELEKTRONISCH); LANGUAGEMOD… Meer...
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Transactions on Computational Collective Intelligence XXI : Special Issue on Keyword Search and Big Data - pocketboek
2016, ISBN: 3662495201
[EAN: 9783662495209], Neubuch, [PU: Springer Berlin Heidelberg], INTELLIGENZ / KÜNSTLICHE INTELLIGENZ; KI; - AI; MODELLIEREN (ALLGEMEIN) MODELLIERUNG; NETZWERK (ELEKTRONISCH); LANGUAGEMOD… Meer...
2016, ISBN: 3662495201
[EAN: 9783662495209], Neubuch, [PU: Springer Berlin Heidelberg Mrz 2016], INTELLIGENZ / KÜNSTLICHE INTELLIGENZ; KI; - AI; MODELLIEREN (ALLGEMEIN) MODELLIERUNG; NETZWERK (ELEKTRONISCH); LA… Meer...
2016
ISBN: 9783662495209
[ED: Softcover], [PU: Springer / Springer Berlin Heidelberg / Springer, Berlin], Thesetransactions publish research in computer-based methods of computationalcollective intelligence (CCI)… Meer...
2016, ISBN: 9783662495209
Transactions on Computational Collective Intelligence XXI ab 57.99 € als Taschenbuch: Special Issue on Keyword Search and Big Data. 1st ed. 2016. Aus dem Bereich: Bücher, English, Interna… Meer...
2016, ISBN: 9783662495209
pocketboek
Special Issue on Keyword Search and Big Data, Buch, Softcover, 1st ed. 2016, [PU: Springer Berlin], Springer Berlin, 2016
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Gedetalleerde informatie over het boek. - Transactions on Computational Collective Intelligence XXI
EAN (ISBN-13): 9783662495209
ISBN (ISBN-10): 3662495201
Gebonden uitgave
pocket book
Verschijningsjaar: 2016
Uitgever: Springer Berlin
Boek bevindt zich in het datenbestand sinds 2016-10-10T15:52:04+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2023-07-20T14:19:44+02:00 (Amsterdam)
ISBN/EAN: 9783662495209
ISBN - alternatieve schrijfwijzen:
3-662-49520-1, 978-3-662-49520-9
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: nguy, cunha, kowalczyk, nguyên, rupi, nguyen ngoc
Titel van het boek: collective intelligence, big data, xxi, data science, lecture notes computer science, special intelligence
Gegevens van de uitgever
Auteur: Ngoc Thanh Nguyen; Ryszard Kowalczyk; Paulo Rupino da Cunha
Titel: Lecture Notes in Computer Science; Transactions on Computational Collective Intelligence; Transactions on Computational Collective Intelligence XXI - Special Issue on Keyword Search and Big Data
Uitgeverij: Springer; Springer Berlin
175 Bladzijden
Verschijningsjaar: 2016-03-04
Berlin; Heidelberg; DE
Gedrukt / Gemaakt in
Taal: Engels
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
IX, 175 p. 60 illus. in color.
BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Language models; Multimedia databases; Semantic Web; Social media; Web search; Affective computing; Clustering; Computational linguistics; Data integration; Dictionaries; Information extraction; Information retrieval; Keyword search; Message filtering; Semantic data management; Artificial Intelligence; Computational Intelligence; Computer Communication Networks; Theory of Computation; Computer Modelling; Netzwerk-Hardware; Theoretische Informatik; Computermodellierung und -simulation; EA
These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twenty-first issue contains 7 carefully selected and revised contributions.
Keyword-based Search over Databases: A Roadmap for a Reference Architecture Paired with an Evaluation Framework.- Entity-based Keyword Search in Web Documents.- Evaluation of Keyword Search in Affective Multimedia Databases.- Subject-related Message Filtering in Social Media Through Context-enriched Language Models.- Improving Open Information Extraction for Semantic Web Tasks.- Searching Web 2.0 Data through Entity-Based Aggregation.
Includes supplementary material: sn.pub/extras
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