Recent Advances on Pattern Representation and Management
نویسندگان
چکیده
Data intensive applications produce complex information that is posing requirements for novel Database Management Systems (DBMSs). Such information is characterized by its huge volume of data and by its diversity and complexity, since the data processing methods such as pattern recognition, data mining and knowledge extraction result in knowledge artifacts like clusters, association rules, decision trees and others. These artifacts, called patterns, need to be stored and retrieved effectively and efficiently. In this paper, we review the concept of patterns and their applicability in several research domains and we define the knowledge domain related to the PANDA project. We examine the different types of patterns that are extracted from a data set, in order to gather the necessary requirements for the definition of a pattern model. This model will constitute the heart of the Pattern Base Management System that will be designed.
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تاریخ انتشار 2003