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Complex Pattern Mining - New Challenges, Methods and Applications (Hardcover, 1st ed. 2020) Loot Price: R4,927
Discovery Miles 49 270
Complex Pattern Mining - New Challenges, Methods and Applications (Hardcover, 1st ed. 2020): Annalisa Appice, Michelangelo...

Complex Pattern Mining - New Challenges, Methods and Applications (Hardcover, 1st ed. 2020)

Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras

Series: Studies in Computational Intelligence, 880

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Loot Price R4,927 Discovery Miles 49 270 | Repayment Terms: R462 pm x 12*

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This book discusses the challenges facing current research in knowledge discovery and data mining posed by the huge volumes of complex data now gathered in various real-world applications (e.g., business process monitoring, cybersecurity, medicine, language processing, and remote sensing). The book consists of 14 chapters covering the latest research by the authors and the research centers they represent. It illustrates techniques and algorithms that have recently been developed to preserve the richness of the data and allow us to efficiently and effectively identify the complex information it contains. Presenting the latest developments in complex pattern mining, this book is a valuable reference resource for data science researchers and professionals in academia and industry.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Studies in Computational Intelligence, 880
Release date: 2020
First published: 2020
Editors: Annalisa Appice • Michelangelo Ceci • Corrado Loglisci • Giuseppe Manco • Elio Masciari • Zbigniew W. Ras
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 250
Edition: 1st ed. 2020
ISBN-13: 978-3-03-036616-2
Categories: Books > Computing & IT > Applications of computing > Pattern recognition
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
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LSN: 3-03-036616-2
Barcode: 9783030366162

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