厨师
发表于 2025-3-26 22:59:27
Texts in Quantitative Political Analysiswitter data sets, one Disease related tweets set prepared by us using five different disease keywords and an other benchmark Seattle data set consisting of incident-related tweets. The modified ML-KNN is able to improve the performance of conventional ML-KNN with a minimum of 5% in both the datasets.
Grasping
发表于 2025-3-27 03:02:17
https://doi.org/10.1007/978-94-011-3348-7xtract the semantic information from the images. We collect shared images from Flicker specifying various sports events that users attend. Images are divided into three event classes, i.e. bikes, water and ground. After extensive experimentation using CNN, for training and classifying images, we obtain an accuracy of 98.7%.
马具
发表于 2025-3-27 07:48:01
2367-3370 (ICDIS 2017), held at Indira Gandhi National Tribal Universi.The book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Data and Information Systems (ICDIS 2017), held at Indira Gandhi National Tribal University, India from November 3 to
Observe
发表于 2025-3-27 12:29:55
https://doi.org/10.1007/978-94-009-0495-8rust of recommender system, it is required to identify and remove the fictitious profiles from the system. Here, we have used machine learning classifiers to detect the attacker’s profiles. A new model is proposed that outperforms in most of the cases.
加入
发表于 2025-3-27 16:19:36
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橡子
发表于 2025-3-27 21:25:14
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facetious
发表于 2025-3-28 02:00:24
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显示
发表于 2025-3-28 04:28:46
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HAWK
发表于 2025-3-28 09:52:04
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粉笔
发表于 2025-3-28 10:40:50
https://doi.org/10.1007/978-981-13-0277-0Data Sciences; Information Science; ICDIS 2017; ICDIS; Information Security; Big Data and Cloud Computing