Guest Editorial: Multimedia for Predictive Analytics

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