International Journal of Electrical and Computer Engineering (IJECE) Vol. 8, No. 2, April 2018, pp. 908~916 ISSN: 2088-8708, DOI: 10.11591/ijece.v8i2.pp908-916  908 Journal homepage: http://iaescore.com/journals/index.php/IJECE A Systematic Review of Existing Data Mining Approaches Envisioned for Knowledge Discovery from Multimedia Benaka Santhosha S 1 , Chitra Kiran N 2 1 Department of Electronics & Communication Engineering, Coorg Institute of Technology, Kodagu, Karnataka, India 2 Department of Electronics & Communication Engineering, Sai Vidya Institute of Technology, Bengaluru, Karnataka, India Article Info ABSTRACT Article history: Received Sep 25, 2017 Revised Jan 3, 2018 Accepted Jan 17, 2018 The extensive use of multimedia technologies extended the applicability of information technology to a large extent which results enormous generation of complex multimedia contents over the internet. Therefore the number of multimedia contents available to the user is also exponentially increasing. In this digital era of the cloud-enabled Internet of Things (IoT), analysis of complex video and image data plays a crucial role.It aims to extract meaningful information as the distributed storages and processing elements within a bandwidth constraint network seek optimal solutions to increase the throughput along with an optimal trade-off between computational complexity and power consumption. However, due to complex characteristics of visual patterns and variations in video frames, it is not a trivial task to discover meaningful information and correlation. Hence, data mining has emerged as a field which has diverse aspects presently in extracting meaningful hidden patterns from the complex image and video data considering different pattern classification approach. The study mostly investigates the existing data-mining tools and their performance metric for the purpose of reviewing this research track.It also highlights the relationship between frequent patterns and discriminativefeatures associated with a video object. Finally, the study addresses the existing research issues to strengthen up the future direction of research towards video analytics and pattern recognition. Keyword: Data mining Internet of things (IoT) Multimedia Copyright © 2018 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Benaka Santhosha S, Department of Electronics & Communication Engineering, Coorg Institute of Technology, Kodagu, Karnataka, India. Email:- benaka.research@gmail.com 1. INTRODUCTION Datamining is a well-known process of knowledge discovery and also exploring significant patterns from a massive set of data. The extensive use of data mining in the field of information technology made it an active research area thus several commercial products and research prototypes are witnessed. The current research trends reveal a matter of fact that more emphasize has been put on corporate data-typically in alphanumeric data-base where very less focus has been laid towards mining of multimedia data [1] Zaiane, Han, & Zhu, 2000). Multimedia data mining till date has been conceptualized for different types of files such as audio, image, and video.In the recent times, accessibility to a huge amount of video contents in both internet and television require implicit knowledge extraction, and it has become a crucial task owing to its non-structured nature. Video analysis or mining is even more complicated task than analyzing still images [2], [3]. However, a video object consists of a collection of a time-ordered sequence of images where the subject in each image is statistically correlated with other. The video content consists of both temporal and