Discovery Science [electronic resource] : 19th International Conference, DS 2016, Bari, Italy, October 19–21, 2016, Proceedings / edited by Toon Calders, Michelangelo Ceci, Donato Malerba.

Contributor(s): Calders, Toon [editor.] | Ceci, Michelangelo [editor.] | Malerba, Donato [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Artificial Intelligence ; 9956 | Lecture Notes in Computer Science ; 9956Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016Description: XXI, 492 p. 131 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319463070Subject(s): Artificial intelligence | Data mining | Information storage and retrieval | Database management | Algorithms | Pattern recognition | Artificial Intelligence | Data Mining and Knowledge Discovery | Information Storage and Retrieval | Database Management | Algorithm Analysis and Problem Complexity | Pattern RecognitionAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 LOC classification: Q334-342Online resources: Click here to access online
Contents:
Pattern mining and rules -- Structured output prediction -- Applications -- Ensemble Learning -- Classification -- Networks -- Kernels and deep learning. .
In: Springer Nature eBookSummary: This book constitutes the proceedings of the 17th International Conference on Discovery Science, DS 2016, held in banff, AB, Canada in October 2015. The 30 full papers presented together with 5 abstracts of invited talks in this volume were carefully reviewed and selected from 60 submissions. The conference focuses on following topics: Advances in the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, and intelligent data analysis, as well as their application in various scientific domains.
Item type: E-BOOKS
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Pattern mining and rules -- Structured output prediction -- Applications -- Ensemble Learning -- Classification -- Networks -- Kernels and deep learning. .

This book constitutes the proceedings of the 17th International Conference on Discovery Science, DS 2016, held in banff, AB, Canada in October 2015. The 30 full papers presented together with 5 abstracts of invited talks in this volume were carefully reviewed and selected from 60 submissions. The conference focuses on following topics: Advances in the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, and intelligent data analysis, as well as their application in various scientific domains.

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