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2012, ISBN: 9783642281341
Trade paperback, New., Trade paperback (US). Glued binding. 76 p. Springerbriefs in Computer Science., Berlin, Heidelberg, [PU: Springer]
2012, ISBN: 3642281346
[EAN: 9783642281341], Neubuch, [PU: Springer], PRINT ON DEMAND Book; New; Fast Shipping from the UK., Books
2012
ISBN: 3642281346
[EAN: 9783642281341], Gebraucht, wie neu, [PU: Springer], Unread book in perfect condition., Books
ISBN: 9783642281341
paperback, [PU: Springer, Berlin/Heidelberg/New York, NY]
2012, ISBN: 3642281346
[EAN: 9783642281341], Neubuch, [PU: Springer], pp. 88, Books
Données bibliographiques du meilleur livre correspondant
Auteur: | |
Titre: | |
ISBN: |
Informations détaillées sur le livre - Event-Driven Surveillance: Possibilities and Challenges: 0 (SpringerBriefs in Computer Science)
EAN (ISBN-13): 9783642281341
ISBN (ISBN-10): 3642281346
Version reliée
Livre de poche
Date de parution: 2012
Editeur: Springer
76 Pages
Poids: 0,321 kg
Langue: Englisch
Livre dans la base de données depuis 2007-06-10T09:46:57+02:00 (Paris)
Page de détail modifiée en dernier sur 2023-07-23T07:27:41+02:00 (Paris)
ISBN/EAN: 3642281346
ISBN - Autres types d'écriture:
3-642-28134-6, 978-3-642-28134-1
Autres types d'écriture et termes associés:
Auteur du livre: denecke, kerstin
Titre du livre: event, driven, surveillance, kerstin
Données de l'éditeur
Auteur: Kerstin Denecke
Titre: SpringerBriefs in Computer Science; Event-Driven Surveillance - Possibilities and Challenges
Editeur: Springer; Springer Berlin
76 Pages
Date de parution: 2012-02-23
Berlin; Heidelberg; DE
Imprimé / Fabriqué en
Poids: 0,454 kg
Langue: Anglais
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
X, 76 p.
BC; Data Mining and Knowledge Discovery; Hardcover, Softcover / Informatik, EDV/Informatik; Data Mining; Verstehen; Data Mining; Event Detection; Information Retrieval; Pattern Recognition; Sensor Data; Social Media Analysis; Stream Data Management; Text Processing; Twitter; Information Storage and Retrieval; Natural Language Processing (NLP); Pattern Recognition; Artificial Intelligence; Data Mining and Knowledge Discovery; Information Storage and Retrieval; Natural Language Processing (NLP); Automated Pattern Recognition; Artificial Intelligence; Wissensbasierte Systeme, Expertensysteme; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Natürliche Sprachen und maschinelle Übersetzung; Mustererkennung; Künstliche Intelligenz; EA
The Web has become a rich source of personal information in the last few years. People twitter, blog, and chat online. Current feelings, experiences or latest news are posted. For instance, first hints to disease outbreaks, customer preferences, or political changes could be identified with this data.
Surveillance or early warning systems enable such detection of changes and support humans in getting information on changing situations. However, the variety of data that could be considered for surveillance is immense, ranging from sensor-measured values to collected counts and information extracted from natural language documents.
Explains how to exploit public unstructured data on the Web, e.g. Twitter, blogs, chat forums, etc.
Combines elements from data mining, information retrieval, and natural language processing
Delivers the first survey of an exciting and growing research area
Includes supplementary material: sn.pub/extras
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Dernier livre similaire:
9783642281358 Event-Driven Surveillance: Possibilities and Challenges (SpringerBriefs in Computer Science Book 0) (Denecke, Kerstin)
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