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Titlebook: Emerging Technologies in Data Mining and Information Security; Proceedings of IEMIS Paramartha Dutta,Satyajit Chakrabarti,Celia Shahna Conf

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Texture Feature Based on ANN for Security Aspectsthod to set up the supervised computational framework to evaluate the optimized hiding picture position with a minimum distortion. The ELM is trained on a part of the image and checked in regression methodology to pick the optimum message hiding spot. It has permitted the supreme outcomes of the exp
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Sentiment Analysis in Airlines Industry Using Machine Learning Techniques listings, etc. Majority of business do not know how to use this information to improve themselves. However, unstructured feedback on Facebook/Instagram/Twitter is where the volume lies. But the problem is these feedbacks are unstructured and there is no aggregated sentiment that we may conclude fro
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Facial Recognition to Detect Mood and Play Songs Using Machine Intelligenceto entertainment Kim et al. [.]. It is used in a variety of fields, including security systems, digital video processing, and so on. When there are hundreds of songs, it is difficult for music listeners to manually create and segregate the playlist. The system’s overall concept is to determine the s
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Smart City Driven by AI and Data Mining: The Need of Urbanizationban transportation and traffic system, pragmatic approach to manage the solid waste, centralized management of information, better disaster management for the city, control over crime, an active emergency response system, renovating the heritage monuments and making the city beautiful, etc., for the
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