Overview
- Includes supplementary material: sn.pub/extras
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10089)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: MIKE 2016.
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Table of contents(17 papers)
Other volumes
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Mining Intelligence and Knowledge Exploration
Keywords
- datamining
- machine learning techniques
- multi-objective optimization
- multimedia applications
- translation
- association rules mining
- availability
- deep neural networks
- domain ontology
- dynamic database
- human resource
- maintainability
- privacy
- process mining
- reliability
- self-replication
- social network
- SVM
- taxonomy
- text mining
About this book
The 18 full papers presented were carefully reviewed and selected from 56 submissions.
Accepted papers were grouped into various subtopics including information retrieval, machine learning, pattern recognition, knowledge discovery, classification, clustering, image processing, network security, speech processing, natural language processing, language, cognition and computation, fuzzy sets, and business intelligence.
Editors and Affiliations
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Norwegian University of Science and Technology, Trondheim, Norway
Rajendra Prasath
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Center for Computing Research, CIC, National Polytechnic Institute, IPN, Mexico City, Mexico
Alexander Gelbukh
Bibliographic Information
Book Title: Mining Intelligence and Knowledge Exploration
Book Subtitle: 4th International Conference, MIKE 2016, Mexico City, Mexico, November 13 - 19, 2016, Revised Selected Papers
Editors: Rajendra Prasath, Alexander Gelbukh
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-58130-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-58129-3Published: 27 April 2017
eBook ISBN: 978-3-319-58130-9Published: 25 April 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 185
Number of Illustrations: 50 b/w illustrations
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Information Storage and Retrieval, Information Systems Applications (incl. Internet), Natural Language Processing (NLP), Natural Language Processing (NLP)