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Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation

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Machine Learning and Data Mining in Pattern Recognition - 14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings, Part I (Paperback, 1st ed. 2018) Loot Price: R1,652

Discovery Miles 16 520

Repayment Terms: R155 pm x 12*

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Machine Learning and Data Mining in Pattern Recognition - 14th International Conference, MLDM 2018, New York, NY, USA, July...

Machine Learning and Data Mining in Pattern Recognition - 14th International Conference, MLDM 2018, New York, NY, USA, July 15-19, 2018, Proceedings, Part I (Paperback, 1st ed. 2018)

Petra Perner

Series: Lecture Notes in Computer Science, 10934

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Loot Price R1,652 Discovery Miles 16 520 | Repayment Terms: R155 pm x 12*

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This two-volume set LNAI 10934 and LNAI 10935 constitutes the refereed proceedings of the 14th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2018, held in New York, NY, USA in July 2018. The 92 regular papers presented in this two-volume set were carefully reviewed and selected from 298 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Lecture Notes in Computer Science, 10934
Release date:	July 2018
First published:	2018
Editors:	Petra Perner
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	455
Edition:	1st ed. 2018
ISBN-13:	978-3-319-96135-4
Categories:	Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	3-319-96135-7
Barcode:	9783319961354