旧石器 发表于 2025-3-26 23:11:44
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https://doi.org/10.1007/978-981-13-0292-3artificial intelligence; classification; data mining; decision trees; machine learning; signal processing迁移 发表于 2025-3-27 06:13:43
978-981-13-0291-6Springer Nature Singapore Pte Ltd. 2018recede 发表于 2025-3-27 12:26:38
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https://doi.org/10.1007/978-3-030-00916-8her likelihood to be purchased by a specific customer, and hence increasing revenue. This paper proposes the use of Item-based Collaborative Filtering algorithm as recommender systems to address the limitations of the offline setting.愉快么 发表于 2025-3-27 21:15:06
Similarity Majority Under-Sampling Technique for Easing Imbalanced Classification Problemlass sample and observing its surrounding minority class samples, SMUTE effectively separates the majority and minority class samples to increase the recognition power for each class. The experimental results show that SMUTE could outperform the current under-sampling methods when the same under-sampling rate is used.产生 发表于 2025-3-27 22:56:46
Collaborative Filtering in an Offline Setting Case Study: Indonesia Retail Businessher likelihood to be purchased by a specific customer, and hence increasing revenue. This paper proposes the use of Item-based Collaborative Filtering algorithm as recommender systems to address the limitations of the offline setting.古老 发表于 2025-3-28 03:25:59
1865-0929 wed and selected from 31 submissions. The papers are organized in topical sections on clustering and classification; big data; time series; outlier detection and applications; social media and applications..978-981-13-0291-6978-981-13-0292-3Series ISSN 1865-0929 Series E-ISSN 1865-0937精致 发表于 2025-3-28 08:23:43
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Honghao Gao,Xinheng Wang,Tasos Dagiuklas years around the globe. However, the recent information security incidents rise in the healthcare sector reaffirms the requirements of preventive measures for FDIA in healthcare. In this paper, we also focus on the emerging attacks on the healthcare domain to understand the importance of FDIA prevention techniques.