Lida Rashidi | Akateeminen Kirjakauppa

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ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING - 22ND PACIFIC-ASIA CONFERENCE, PAKDD 2018, MELBOURNE, VIC, AUSTRALIA, JUNE 3-6,

Dinh Phung; Vincent S. Tseng; Geoffrey I. Webb; Bao Ho; Mohadeseh Ganji; Lida Rashidi
Springer International Publishing AG (2018)
Pehmeäkantinen kirja

97,90 €

ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING - 22ND PACIFIC-ASIA CONFERENCE, PAKDD 2018, MELBOURNE, VIC, AUSTRALIA, JUNE 3-6,

Dinh Phung; Vincent S. Tseng; Geoffrey I. Webb; Bao Ho; Mohadeseh Ganji; Lida Rashidi
Springer International Publishing AG (2018)
Pehmeäkantinen kirja

95,90 €

ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING - 22ND PACIFIC-ASIA CONFERENCE, PAKDD 2018, MELBOURNE, VIC, AUSTRALIA, JUNE 3-6,

Dinh Phung; Vincent S. Tseng; Geoffrey I. Webb; Bao Ho; Mohadeseh Ganji; Lida Rashidi
Springer International Publishing AG (2018)
Pehmeäkantinen kirja

88,20 €

TRENDS AND APPLICATIONS IN KNOWLEDGE DISCOVERY AND DATA MINING - PAKDD 2018 WORKSHOPS, BDASC, BDM, ML4CYBER, PAISI, DAMEMO, MELB

Mohadeseh Ganji; Lida Rashidi; Benjamin C. M. Fung; Can Wang
Springer Nature Switzerland AG (2018)
Pehmeäkantinen kirja

49,60 €

Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6,

Dinh Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi

97,90 €

Springer International Publishing AG
Sivumäärä: 603 sivua
Asu: Pehmeäkantinen kirja
Painos: 1st ed. 2018
Julkaisuvuosi: 2018, 20.06.2018 (lisätietoa)
Kieli: Englanti
Tuotesarja: Lecture Notes in Artificial Intelligence

This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018.

The 164 full papers were carefully reviewed and selected from 592 submissions. The volumes present papers focusing on new ideas, original research results and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems and the emerging applications.

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