sed-rate 发表于 2025-3-23 13:25:16

http://reply.papertrans.cn/83/8242/824119/824119_11.png

omnibus 发表于 2025-3-23 16:23:40

978-3-030-13440-2Springer Nature Switzerland AG 2020

泛滥 发表于 2025-3-23 21:54:38

http://reply.papertrans.cn/83/8242/824119/824119_13.png

入会 发表于 2025-3-24 01:44:42

http://reply.papertrans.cn/83/8242/824119/824119_14.png

FADE 发表于 2025-3-24 04:03:52

https://doi.org/10.1007/978-3-030-13438-9CLIRS; Big Data; Recommender Systems; Customer Loyalty Improvement Recommender System; Computational Int

暴发户 发表于 2025-3-24 08:02:53

http://reply.papertrans.cn/83/8242/824119/824119_16.png

骚扰 发表于 2025-3-24 10:48:36

http://reply.papertrans.cn/83/8242/824119/824119_17.png

sacrum 发表于 2025-3-24 15:50:10

http://reply.papertrans.cn/83/8242/824119/824119_18.png

LINES 发表于 2025-3-24 21:16:08

Improving Performance of Knowledge Miner,One of the most important aspects in the built system is to ensure its scalability and high performance. This chapter presents different methods for improving data mining performance along with the final conclusion on which method should be applied in the built system.

LASH 发表于 2025-3-25 00:01:05

http://reply.papertrans.cn/83/8242/824119/824119_20.png
页: 1 [2] 3 4 5
查看完整版本: Titlebook: Recommender System for Improving Customer Loyalty; Katarzyna Tarnowska,Zbigniew W. Ras,Lynn Daniel Book 2020 Springer Nature Switzerland A