Cantitate/Preț
Produs

Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II: Lecture Notes in Computer Science, cartea 8444

Editat de Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L.P. Chen, Hung-Yu Kao
en Limba Engleză Paperback – 21 mai 2014
The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. The 40 full papers and the 60 short papers presented within these proceedings were carefully reviewed and selected from 371 submissions. They cover the general fields of pattern mining; social network and social media; classification; graph and network mining; applications; privacy preserving; recommendation; feature selection and reduction; machine learning; temporal and spatial data; novel algorithms; clustering; biomedical data mining; stream mining; outlier and anomaly detection; multi-sources mining; and unstructured data and text mining.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (2) 66295 lei  6-8 săpt.
  Springer International Publishing – 23 mai 2014 66295 lei  6-8 săpt.
  Springer International Publishing – 21 mai 2014 66313 lei  6-8 săpt.

Din seria Lecture Notes in Computer Science

Preț: 66313 lei

Preț vechi: 82891 lei
-20% Nou

Puncte Express: 995

Preț estimativ în valută:
12690 13174$ 10582£

Carte tipărită la comandă

Livrare economică 22 martie-05 aprilie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783319066042
ISBN-10: 3319066048
Pagini: 652
Ilustrații: XXX, 624 p. 170 illus.
Dimensiuni: 155 x 235 x 38 mm
Greutate: 0.9 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Recommendation.- Feature selection and reduction.- Machine learning.- Temporal and spatial data.- Novel algorithms.- Clustering.- Biomedical data mining.- Stream mining.- Outlier and anomaly detection.- Multi-sources mining.- Unstructured data and text mining.

Textul de pe ultima copertă

The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. The 40 full papers and the 60 short papers presented within these proceedings were carefully reviewed and selected from 371 submissions. They cover the general fields of pattern mining; social network and social media; classification; graph and network mining; applications; privacy preserving; recommendation; feature selection and reduction; machine learning; temporal and spatial data; novel algorithms; clustering; biomedical data mining; stream mining; outlier and anomaly detection; multi-sources mining; and unstructured data and text mining.