Titlebook: Advances in Data and Information Sciences; Proceedings of ICDIS Shailesh Tiwari,Munesh C. Trivedi,Brajesh Kumar Si Conference proceedings 2

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Studies in History and Philosophy of Science more studies being released every day with varying techniques and effectiveness, it becomes hard to cope up and try to find the best technique available. To tackle this problem, in this paper, we have surveyed different Artificial Intelligence based steganalysis approaches used for document and ima

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Causation and Prevention of Human Cancerinsider and insider threats, their standard definitions and some of detection and avoidance techniques. Some popular cyber organizations like Facebook and Twitter are also affected by insider attacks.

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https://doi.org/10.1007/978-94-011-3308-1ing, various classification algorithms are combined to form a more powerful and an accurate algorithm. The algorithms such as logistic regression (LR), naïve Bayes (NB), decision tree (DT), random forest (RF), support vector machines (SVM), Xtreme gradient boosting machine (XGBM), light gradient boo

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Causation and the Dynamics of Beliefite hard to do diagnose the liver disease at a very early stage. But now, many experts in machine learning can give full assurance on the diagnosis of liver disease at its early stage. In this paper, we will discuss the diagnosis of liver disease through various data mining algorithms such as Artifi

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Causality Testing in a Decision Scienceomes are compared with original work, support vector machine (SVM), and GP with the standard fitness function. The proposed approach achieves better results than the original work, SVM, and compared GP methods.

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