Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/8381
Title: Guest Editorial: Multimedia for Predictive Analytics
Authors: Singh, Sanjay Kumar
Singh, Amit Kumar
Kumar, Basant
Sarkar, Subir Kumar
Arya, Karm Veer
Keywords: Guest editorial
Multimedia
Issue Date: 2018
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: Recent technological advancements have led to a deluge of multimedia data from distinctivedomains. With the increase in multimedia data generated by Internet, health care, scientificsensors, financial and manufacturing companies has profoundly transformed our society andwill continue to attract diverse attentions from both technological experts and the society ingeneral. The use of multimedia data for predictive analytics is the process of analyzing,meaningful patterns for predictive modeling. Reasons for using predictive analytics by theorganization or individual are to grow, compete, enforce, improve, satisfy and learn. Potential researchers are now beginning to adapt advanced modern machine learning and patternrecognition techniques, such as ensemble learning, manifold learning, sparse representation,low-rank presentation, compressive sensing and deep learning, to solve related problems inthe complex domain
URI: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/8381
Appears in Collections:Journal Articles

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