Review and Analysis of Multimedia Data Mining Tasks and Models

Over the past few decades, rapid changes in information technology have drastically changed the functions and activities of multimedia. Data mining has become more popular for extracting knowledge from multimedia data sets such as audio, video, speech, text, web, image and a combination of several types of these data sets. These are increasingly available and are semi-structured data or unstructured data. This poses a great challenge to manually extract the hidden, useful knowledge embedded within the multimedia collections without the use of new techniques and powerful tools. This challenge drives the need to develop data mining tools and techniques which can be used for the above mentioned types of data sets. This paper presents a review and analysis on the state-of-the-art in the field of multimedia data mining and knowledge discovery, advanced technologies, and data mining approaches that are useful for decision making applications and researchers.