Titlebook: Data Management, Analytics and Innovation; Proceedings of ICDMA Neha Sharma,Amol Goje,Alfred M. Bruckstein Conference proceedings 2023 The

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Self-Help-Group

Donald H. Kausler,Wemara LichtyBC dataset, in this paper find out more relevant similar web page using different similarity measure technique like sequence similarity–length of longest common subsequence (LLCS) and set similarity–Jaccard similarity, dice similarity, and cosine similarity for calculating of recommendation system.

领巾

歌剧等

https://doi.org/10.1007/4-431-30248-4ls are also reported in incidents by roaming in restricted border areas raising tensions across the nations. Timely monitoring and tracking of the fishing vessels will be needed such that it can improve the vigilance on the fishing vessel in contraband activities, provide rescue in case of accidents

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Sanae Okamoto-Barth,Masaki Tomonagaering the issue. In the present study, the effectiveness of decision tree and its bagging and boosting-based ensemble model techniques (like random forest, extra tree, rotation forest, XGBoost, and AdaBoost) has been evaluated via generating the landslide susceptibility map (LSM). Both threshold-bas

GNAT

DUCE

Yawning: An Opening into Empathy?es. In this study, using OSHA construction injury data, we developed a fatality prediction model using logistic regression and frequency weighted data transformation. The approach adopted here is useful for handling categorical predictors. The model is fairly fit to the data. The model could be used

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六个才偏离

Paul Bourgine,Jean-Pierre NadalThese datasets are invaluable for improving forecasting, identifying anomalies, and ultimately making decisions. A modern data set can contain millions of linked time series, so it is very dimensional (one dimension for each individual time series). To improve prediction, the global pattern should b