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Paperback. Zustand: new. Paperback. th This volume contains the papers presented at the 13 International Conference on Discovery Science (DS 2010) held in Canberra, Australia, October 6-8, 2010. The main objective of the Discovery Science (DS) conference series is to provide an open forum for intensive discussions and the exchange of new ideas and information among researchers working in the area of automating sci- ti?c discovery or working on tools for supporting the human process of disc- ery in science. It has been a successful arrangement in the past to co-locate the DS conference with the International Conference on Algorithmic Learning Theory (ALT). This combination of ALT and DS allows for a comprehensive treatment of the whole range, from theoretical investigations to practical app- cations. Continuing in this tradition, DS 2010 was co-located with the 21st ALT conference (ALT 2010). The proceedings of ALT 2010 were published as a twin volume (6331) of the LNCS series. The international steering committee of the Discovery Science conference - ries providedimportantadvice on a number of issues during the planning of D- coveryScience2010.ThemembersofthesteeringcommitteewereAlbertoAp- tolico, Setsuo Arikawa, Hiroki Arimura, Jean-Francois Boulicaut, Vitor Santos Costa, Vincent Corruble, Joao Gama, Achim Ho?mann, Tamas Horvath, Alipio Jorge, Hiroshi Motoda, Ayumi Shinohara, Einoshin Suzuki (Chair), Masayuki Takeda, Akihiro Yamamoto, and Thomas Zeugmann. We received 43 full-paper submissions out of which 25 long papers were - cepted for presentation and are published in this volume. Constitutes the refereed proceedings of the 13th International Conference on Discovery Science, DS 2010, that was held in Canberra, Australia. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Paperback. Zustand: Brand New. 384 pages. 8.60x6.10x0.90 inches. In Stock.

Zustand: New. Up to date resultsFast conference proceedingsState-of-the-art reportSentiment Knowledge Discovery in Twitter Streaming Data.- A Similarity-Based Adaptation of Naive Bayes for Label Ranking: Application to the Metalearning Problem of.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 384 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.