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Data that has relevance for decision-making is accumulating at an incredible rate due to a host of technological advances. Electronic data capture has become inexpensive and ubiquitous as a by-product of innovations such as the Internet, e-commerce, electronic banking, point-of-sale devices, bar-code readers, and electronic patient records. Data mining is a rapidly growing field that is concerned with developing techniques to assist decision-makers to make intelligent use of these repositories. The field of data mining has evolved from the disciplines of statistics and artificial intelligence. This module will combine practical exploration of data mining techniques with a exploration of algorithms, including their limitations. Students taking this module should have an elementary understanding of probability concepts and some experience of programming.
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论文共 2 篇作者统计合作学者相似作者
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PROCEEDINGS OF THE 2023 WORKSHOP ON OPEN CHALLENGES IN ONLINE SOCIAL NETWORKS, OASIS 2023/ 34TH ACM CONFERENCE ON HYPERTEXT AND SOCIAL MEDIA, HT 2023pp.29-37, (2023)
WWW 2023pp.1865-1874, (2023)
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D-Core
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