Kniha Advances in Knowledge Discovery and Data Mining Jinho Kim

Advances in Knowledge Discovery and Data Mining

Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
2 286
This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2017
Stránek
841
EAN
9783319574530
ISBN
3319574531
Enbook ID
16082865
Hmotnost
1318
Rozměry
155 x 235 x 50

Kompletní popis

This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected from 458 submissions. They are organized in topical sections named: classification and deep learning; social network and graph mining; privacy-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms; behavioral data mining; graph clustering and community detection; dimensionality reduction.

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