Data mining is the discovery of knowledge and useful information from the data stored in large databases. The classification of large data sets is an important problem in data mining. Most data mining algorithms cannot be applied to complex object databases unless it is converted into a single flat table. Much valuable information especially the linkages between objects could be lost by conversion of such databases into a single table. As object-oriented data models embody rich data structures and semantics in the construction of complex databases, such as complex data objects, class hierarchies, property inheritance and methods, etc. So it is important to extend the area of study from relational database systems to object-oriented database systems and investigate the mechanisms for knowledge discovery in object-oriented databases. This paper presents a brief review of some of the significant researches available in the literature for object-oriented data mining.
['Ajita Satheesh', 'Durgesh Kumar Mishra', 'Ravindra Patel']
Classification Rule Mining for Object Oriented Databases: A Brief Review