Explain four different multimedia mining models have been used.

 MODELS FOR MULTIMEDIA MINING

The models which are used to perform multimedia data are very important in mining. Commonly four different multimedia mining models have been used. These are classification, association rule, clustering, and statistical modeling.

1. Classification

 Classification is a technique for multimedia data analysis, can learn from every property of a specified set of multimedia. It is divided into a predefined class label, so as to achieve the purpose of classification. Classification is the process of constructing data into categories for its better effective and efficient use, it creates a function that well-planned data item into one of many predefined classes, by inputting a training data set and building a model of the class attribute based on the rest of the attributes. Decision tree classification has a perceptive nature that the users conceptual model without loss of exactness. Hidden Markov Model used for classifying the multimedia data such as images and video as indoor-outdoor games.

2. Association Rule

Association Rule is one of the most important data mining techniques which helps to find relations between data items in huge databases. There are two different types of associations in multimedia mining: association between image content and non-image content features. Mining the frequently occurring patterns between different images becomes mining the repeated patterns in a set of transactions. Multi-relational association rule mining is used to display multiple reports for the same image. In image classification also multiple-level association rule techniques are used.

3. Clustering

Cluster analysis divides the data objects into multiple groups or clusters. Cluster analysis combines all objects based on their groups. Clustering algorithms can be divided into several methods they are hierarchical methods, density-based methods, grid-based methods, and model-based methods, k-means algorithms, and graph-based models  In multimedia mining, the clustering technique can be applied to group similar images, objects, sounds, videos, and texts.

4. Statistical Modeling

Statistical mining models are used to regulate the statistical validity of test parameters and have been used to test hypotheses, undertake correlation studies and transform and make data for further analysis. This is used to establish links between words and partitioned image regions to form a simple co-occurrence mode