Advances in Intelligent Data Analysis X (Paperback)

Elizabeth Bradley

ISBN 10: 3642247997 / ISBN 13: 9783642247996

Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2011

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Paperback. This book constitutes the refereed proceedings of the 10th International Conference on Intelligent Data Analysis, IDA 2011, held in Porto, Portugal, in October 2011. The 19 revised full papers and 16 revised poster papers resented together with 3 invited papers were carefully reviewed and selected from 73 submissions. All current aspects of intelligent data analysis are addressed, particularly intelligent support for modeling and analyzing complex, dynamical systems. The papers offer intelligent support for understanding evolving scientific and social systems including data collection and acquisition, such as crowd sourcing; data cleaning, semantics and markup; searching for data and assembling datasets from multiple sources; data processing, including workflows, mixed-initiative data analysis, and planning; data and information fusion; incremental, mixed-initiative model development, testing and revision; and visualization and dissemination of results; etc. This book constitutes the refereed proceedings of the 10th International Conference on Intelligent Data Analysis, IDA 2011, held in Porto, Portugal, in October 2011. data processing, including workflows, mixed-initiative data analysis, and planning; Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9783642247996

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Titolo: Advances in Intelligent Data Analysis X (...

Casa editrice: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin

Data di pubblicazione: 2011

Legatura: Paperback

Condizione: new

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Riassunto:

This book constitutes the refereed proceedings of the 10th International Conference on Intelligent Data Analysis, IDA 2011, held in Porto, Portugal, in October 2011. The 19 revised full papers and 16 revised poster papers resented together with 3 invited papers were carefully reviewed and selected from 73 submissions. All current aspects of intelligent data analysis are addressed, particularly intelligent support for modeling and analyzing complex, dynamical systems. The papers offer intelligent support for understanding evolving scientific and social systems including data collection and acquisition, such as crowd sourcing; data cleaning, semantics and markup; searching for data and assembling datasets from multiple sources; data processing, including workflows, mixed-initiative data analysis, and planning; data and information fusion; incremental, mixed-initiative model development, testing and revision; and visualization and dissemination of results; etc.

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