Bernstein-test
发表于 2025-3-28 18:37:56
Conference proceedings 202155 submissions. They were organized in topical sections as follows: database and information systems integration; artificial intelligence and decision support systems; information systems analysis and specification; software agents and internet computing; human-computer interaction; and enterprise architecture..
难理解
发表于 2025-3-28 20:53:46
http://reply.papertrans.cn/32/3115/311474/311474_42.png
禁止,切断
发表于 2025-3-29 02:28:25
http://reply.papertrans.cn/32/3115/311474/311474_43.png
元音
发表于 2025-3-29 05:16:40
http://reply.papertrans.cn/32/3115/311474/311474_44.png
Madrigal
发表于 2025-3-29 08:31:27
1865-1348 2020, held online during May 5-7, 2020..The 41 papers presented in this volume were carefully reviewed and selected for inclusion in this book from a total of 255 submissions. They were organized in topical sections as follows: database and information systems integration; artificial intelligence an
催眠药
发表于 2025-3-29 13:17:44
Conference proceedings 2021 online during May 5-7, 2020..The 41 papers presented in this volume were carefully reviewed and selected for inclusion in this book from a total of 255 submissions. They were organized in topical sections as follows: database and information systems integration; artificial intelligence and decision
我没有强迫
发表于 2025-3-29 18:30:36
http://reply.papertrans.cn/32/3115/311474/311474_47.png
单色
发表于 2025-3-29 22:16:53
https://doi.org/10.1057/9780230120167y on several synthetic as well as real-world datasets. Our results show that the techniques we proposed significantly reduce memory consumption, improve scalability, and lead to substantial performance gains over the baseline approach.
招致
发表于 2025-3-30 00:10:50
http://reply.papertrans.cn/32/3115/311474/311474_49.png
FUSC
发表于 2025-3-30 07:43:36
Anonimisation, Impacts and Challenges into Big Data: A Case Studieshniques, although well implemented, must be associated with governance techniques to avoid latent breaches of privacy. Besides that, we point out some guidelines identified in the case studies for the use of anonymous data in Big Data.