Titlebook: Smart Data Intelligence; Proceedings of ICSMD R. Asokan,Diego P. Ruiz,Selwyn Piramuthu Conference proceedings 2024 The Editor(s) (if applic

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R. Tamilkodi,N. Santha Raju,B. Aruna,Ch. Krishna Vamsi,Ch. Pruthvinath Reddy,T. Bhavaniugh presentations and discussions of specific topics falling under the main headings men­ tioned above. For each section a rapporteur was nominated to read a paper and an interlocuteur to comment on it. The programme chairman is grateful that he was able to engage a representative selection of front rank phil978-94-009-8822-4978-94-009-8820-0

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Lung Cancer Prediction using Combination of Oversampling with Standard Random Forest Algorithm for a balanced class distribution. To evaluate the proposed method, Kaggle lung cancer dataset was used and implementation was done by using Python tool. The results indicate that the proposed ADASYN with SRF produced high performance with the accuracy score of 99% and precision and recall, .-scores, an

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Adaptive Lotus Effect Optimization with DKN for Fake News Detection on Social Media with Tamil Langfake news identification is done using Deep Kronecker Network (DKN), whereas the introduced Adaptive Lotus Effect optimization (ALEO) is used to optimize the DKN. Meanwhile, the developed model obtained the highest value of precision as 90.8%, Recall as 94.7%, .-measure as 92.7% and rouge as 86.5%.

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Scalable and Intelligent Big Data Analytics Framework (SIBDAF) for Cloud Environments,e datasets and workloads demonstrates significant improvements in data processing times and resource utilization compared to conventional approaches. Real-world use cases showcase the framework’s versatility across domains such as business, health care, and scientific research. This research introdu

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