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Advances Knowledge Discovery And Data Mining: 25th Pacific-asia Conference, Pakdd 2021, Virtual Event, May 11-14, Proceedings, Part IAdvances Knowledge Discovery And Data Mining: 25th Pacific-asia Conference, Pakdd 2021, Virtual Event, May 11-14, Proceedings, Part I

Advances Knowledge Discovery And Data Mining: 25th Pacific-asia Conference, Pakdd 2021, Virtual Event, May 11-14, Proceedings, Part I in Vernon, BC

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Current price: $116.99
Original price: $145.12
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Advances Knowledge Discovery And Data Mining: 25th Pacific-asia Conference, Pakdd 2021, Virtual Event, May 11-14, Proceedings, Part I

Coles

Advances Knowledge Discovery And Data Mining: 25th Pacific-asia Conference, Pakdd 2021, Virtual Event, May 11-14, Proceedings, Part I in Vernon, BC

By None

Current price: $116.99
Original price: $145.12
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Size: Kobo eBook

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The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021.The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows:Part I: Applications of knowledge discovery and data mining of specialized data;Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics;Part III: Representation learning and embedding, and learning from data.
The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021.The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows:Part I: Applications of knowledge discovery and data mining of specialized data;Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics;Part III: Representation learning and embedding, and learning from data.

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