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1. |
Record Nr. |
UNISA996465700103316 |
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Titolo |
Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II / / edited by James Bailey, Latifur Khan, Takashi Washio, Gill Dobbie, Joshua Zhexue Huang, Ruili Wang |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (XXIV, 572 p. 156 illus.) |
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Collana |
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Lecture Notes in Artificial Intelligence ; ; 9652 |
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Disciplina |
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Soggetti |
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Data mining |
Artificial intelligence |
Information storage and retrieval |
Application software |
Database management |
Data Mining and Knowledge Discovery |
Artificial Intelligence |
Information Storage and Retrieval |
Information Systems Applications (incl. Internet) |
Database Management |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di contenuto |
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Classification -- Machine learning -- Applications -- Novel methods and algorithms -- Opinion mining and sentiment analysis -- Clustering -- Feature extraction and pattern mining -- Graph and network data -- Spatiotemporal and image data -- Anomaly detection and clustering -- Novel models and algorithms -- Text mining and recommender systems. |
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Sommario/riassunto |
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This two-volume set, LNAI 9651 and 9652, constitutes the thoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New Zealand, in April 2016. The 91 full papers were carefully |
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reviewed and selected from 307 submissions. They are organized in topical sections named: classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data; spatiotemporal and image data; anomaly detection and clustering; novel models and algorithms; and text mining and recommender systems. |
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2. |
Record Nr. |
UNISA996532972303316 |
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Autore |
Kaspar Christian Markus |
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Titolo |
Individualisierung und mobile Dienste am Beispiel der Medienbranche : Ansätze zum Schaffen von Kundenmehrwert / / Christian Markus Kaspar |
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Pubbl/distr/stampa |
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Göttingen : , : Universitätsverlag Göttingen, , 2006 |
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Descrizione fisica |
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1 online resource (324 pages) |
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Collana |
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Göttinger Schriften zur Internetforschung ; ; Bd. 3 |
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Disciplina |
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Soggetti |
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Internet |
Internet - Safety measures |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Christian Kaspar deals with the causes of the current economic crisis in the media industry and discusses opportunities for media companies to avert this crisis. Two options particularly are considered in more detail: the approaching of media products to individual desires of recipients on the basis of individualized systems on the one hand and the quick and location-independent distribution of contents through the mobile internet on the other. Kaspar makes point of two aims: First, it is examined whether and how far the strategies of individualization and distribution in the mobile internet are - compared with traditional media - able to provide additional benefit for customers. Second, conceptual issues in the context of realization of individual and mobile media products are raised and solutions are presented. |
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