Titlebook: Emerging Technologies in Data Mining and Information Security; Proceedings of IEMIS Aboul Ella Hassanien,Siddhartha Bhattacharyya,Soum Conf

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Aboul Ella Hassanien,Siddhartha Bhattacharyya,SoumPresents recent research in the field of data mining and information security.Discusses the outcomes of IEMIS 2020, held in Kolkata, India.Serves as a reference resource for researchers and practition

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An Efficient Classification Technique of Data Mining for Predicting Heart Diseased algorithm performance is tested in the heart disease dataset which is taken from UCI repository. There are 76 attributes present within a database. However, a subset of 14 among them is required within all the published experiments. The proposed work will increase the accuracy of the prediction analysis.

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Latent Fingerprinting: A Reviewquisition, enhancement, reconstruction, and matching, along with various benchmark datasets available for research purposes. The paper also highlights various challenges and research gaps to augment the research in this direction that has become imperative in this digital era.

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Nonlinear 2D Chaotic Map and DNA (NL2DCM-DNA) Sequences-Based Fast and Secure Block Image Encryptionnearity of 2D chaotic map and complexity of DNA sequences are used to perform highly secure image encryption. The experimental outputs illustrate the higher efficiency of NL2DCM-DNA in terms of security, attack resilience, entropy, histogram, running time and diffusion against some previous image encryption algorithms.