MULTI-MEDIA DATA MINING

Multimedia Data Mining

Multimedia data mining refers to the analysis of large amounts of multimedia information in order to find patterns or statistical relationships. Once data is collected, computer programs are used to analyze it and look for meaningful connections.

Applications of Multimedia Data Mining

1.    Information obtained by multimedia data mining is often used by governments to improve social systems.

2.    It can also be used in marketing to discover consumer habits.

3.    Information obtained by multimedia data mining can be used to discover the previously unknown patterns and trends related to market and business.

Multimedia data mining requires the collection of huge amounts of data. The sample size is important when analyzing data because predicted trends and patterns are more likely to be inaccurate with a smaller sample. This data can be collected from a number of different media, including videos, sound files, and images. Some experts also consider spatial data and text to be multimedia. Information from one or more of these media is the focus of data collection.

Whereas an analysis of numerical data can be straightforward, multimedia data analysis requires sophisticated computer programs which can turn it into useful numerical data. There are a number of computer programs available that make sense of the information gathered from multimedia data mining. These computer programs are used to search for relationships that may not be apparent or logically obvious.