Titlebook: Intelligent Computing and Innovation on Data Science; Proceedings of ICTID Sheng-Lung Peng,Le Hoang Son,D. Balaganesh Conference proceeding

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M. Kannan,C. Priya,L. William Mary,S. Madhan,V. Sri Priya

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Ali Muttaleb Hasan,Taha Hussein Rassem,Noorhuzaimi Mohd Noor,Ahmed Muttaleb Hasan

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Dinesh Rajassekharan,Ali Ameen,Divya Midhunchakkravarthy

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Optimization-Based Effective Feature Set Selection in Big Data,ountered by the feature selection in respect of big data analytics. Various tests conducted have upheld the fact that the oppositional grasshopper techniques are endowed with the acumen of effectively extracting the requisite features so as to achieve the preferred outcome Further, enthusing experim

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An Efficient Study of Fraud Detection System Using Ml Techniques, the fraudulent rate to a minimal one. This paper gives an efficient study of FDS for credit cards by using the machine learning (ML) techniques such as support vector machine, naïve Bayes, K-nearest neighbor, random forest, decision tree, OneR, AdaBoost. These machine learning techniques evaluate a

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Effective Role of Cloud-Based IoT Technology in Smart and Precision Horticulture Works: A Novel,i) connection. It contains lots of real-world things, for example, mobile phones, computers, vehicles, plants, and electronic devices. It will confer many advantages to the farmer to organize the farm. IoT applications are used in real-life applications, like hospitals, industries, networking areas,

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Credit Card Fraud Detection Using AES Technic,the classifiers set to see mutilation on the Web and if another trade is coercion, an information instrument is taken in the prominent proof present with the incredible old shaped focus to regard the issue of thought skim. The yielded consequences of our basics show up that our structure is better t

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