Name
Abstract | ||
|---|---|---|
Whereas much of the previous work on data mining has focused on mining data in relational databases, we discuss mining objects. Object models are very popular for representing multimedia data, and therefore we need to mine object databases to extract useful information from the large quantities of multimedia data. We first describe the motivation for multimedia data mining with examples and then discuss object mining with focus on text, image, video and audio mining. We also address the need for real time data mining for multimedia applications |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/ISORC.2001.922860 | ISORC |
Keywords | Field | DocType |
relational databases,real-time data mining,object models,multimedia data mining,real time data mining,multimedia databases,multimedia objects,minimumcorba specification,audio mining,real-time requirement,multimedia applications,object-oriented databases,standard-based middleware,forthcoming corba,embedded system,object databases,data mining,important step,real-time corba,real-time systems,machine learning,real time data,statistics,technology management,parallel processing,data visualization,object model,real time systems,relational database | Semi-structured data,Data stream mining,Concept mining,Web mining,Relational database,Information retrieval,Real-time data,Audio mining,Computer science,Multimedia,Multimedia data mining | Conference |
ISBN | Citations | PageRank |
0-7695-1089-2 | 1 | 0.49 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thuraisingham, Bhavani | 1 | 218 | 34.62 |
| Chris Clifton | 2 | 3327 | 544.44 |
| Maurer, J. | 3 | 1 | 0.49 |
| Marion G. Ceruti | 4 | 126 | 27.87 |