Towards Integrative Machine Learning and Knowledge Extraction

Name: Towards Integrative Machine Learning and Knowledge Extraction
SKU: 27202993
Price: 150.00 NZD
Availability: InStock

BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers

Format:

Paperback / softback

Series:

Lecture Notes in Computer Science,

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Description

The BIRS Workshop “Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets” (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of “hot topics” toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e., to make sense of data within the context of the application domain. The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning.

Release date NZ

October 29th, 2017

Series

Lecture Notes in Computer Science,

Contributors

Edited by Andreas Holzinger
Edited by Massimo Ferri
Edited by Randy Goebel
Edited by Vasile Palade

Pages

207

Edition

1st ed. 2017

Audiences

Postgraduate, Research & Scholarly
Professional & Vocational

Illustrations

57 Illustrations, black and white; XVI, 207 p. 57 illus.

ISBN-13

9783319697741

Product ID

27202993

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