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03531nam a2200541 4500 |
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978-3-030-04921-8 |
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190118s2019 gw | s |||| 0|eng d |
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|a 9783030049218
|9 978-3-030-04921-8
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|a 10.1007/978-3-030-04921-8
|2 doi
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|d GrThAP
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|a Q342
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|a UYQ
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|a TEC009000
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|a UYQ
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|a 006.3
|2 23
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|a High-Utility Pattern Mining
|h [electronic resource] :
|b Theory, Algorithms and Applications /
|c edited by Philippe Fournier-Viger, Jerry Chun-Wei Lin, Roger Nkambou, Bay Vo, Vincent S. Tseng.
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250 |
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|a 1st ed. 2019.
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264 |
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2019.
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300 |
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|a VIII, 337 p. 123 illus., 79 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Studies in Big Data,
|x 2197-6503 ;
|v 51
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|a Introduction -- Problem Definition -- Algorithms -- Extensions of the Problem -- Research Opportunities -- Open-Source Implementations -- Conclusion.
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|a This book presents an overview of techniques for discovering high-utility patterns (patterns with a high importance) in data. It introduces the main types of high-utility patterns, as well as the theory and core algorithms for high-utility pattern mining, and describes recent advances, applications, open-source software, and research opportunities. It also discusses several types of discrete data, including customer transaction data and sequential data. The book consists of twelve chapters, seven of which are surveys presenting the main subfields of high-utility pattern mining, including itemset mining, sequential pattern mining, big data pattern mining, metaheuristic-based approaches, privacy-preserving pattern mining, and pattern visualization. The remaining five chapters describe key techniques and applications, such as discovering concise representations and regular patterns. .
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650 |
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|a Computational intelligence.
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650 |
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|a Artificial intelligence.
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650 |
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|a Data mining.
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1 |
4 |
|a Computational Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/T11014
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650 |
2 |
4 |
|a Artificial Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/I21000
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650 |
2 |
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|a Data Mining and Knowledge Discovery.
|0 http://scigraph.springernature.com/things/product-market-codes/I18030
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700 |
1 |
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|a Fournier-Viger, Philippe.
|e editor.
|0 (orcid)0000-0002-7680-9899
|1 https://orcid.org/0000-0002-7680-9899
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Lin, Jerry Chun-Wei.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Nkambou, Roger.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Vo, Bay.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Tseng, Vincent S.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
0 |
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|t Springer eBooks
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776 |
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8 |
|i Printed edition:
|z 9783030049201
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776 |
0 |
8 |
|i Printed edition:
|z 9783030049225
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830 |
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|a Studies in Big Data,
|x 2197-6503 ;
|v 51
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856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-030-04921-8
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-INR
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950 |
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|a Intelligent Technologies and Robotics (Springer-42732)
|