...processing a large volume of data in databases in order to discover new knowledge. Knowledge discovery is defined as the nontrivial extraction of implicit,...unknown, and potentially useful information from data (5-75). Many organizations have started to develop or employ tools to discover knowledge from databases....

...rule-based concept generalization, attribute-oriented induction. 1 Introduction Knowledge Discovery is the nontrivial extraction of implicit, previously...unknown, and potentially useful information from data [2]. Over the past twenty years, huge amounts of data have been collected and managed in relational...

...acquisition, learning, knowledge representation, applications 1. Introduction Knowledge discovery can be defined as the non-trivial extraction of implicit,...unknown and potentially useful information from data [6]. Increasingly large and complex databases are being accumulated by business, government and scientific...

...general recognition that there is untapped value in larger data bases. Knowledge discovery (KD) is the nontrivial extraction of implicit, previously...unknown, and potentially useful information from data. Knowledge discovery is thus a form of machine learning which discovers interesting knowledge and represents...

...Kosko [24]. 2.3 Data Mining Data mining (also known as Knowledge Discovery in Databases- KDD) has been defined as "The nontrivial extraction of implicit,...unknown, and potentially useful information from data" [25]. It uses machine learning, statistical and visualization techniques to discovery and present knowledge...

...data everyday. Much useful information could be concluded into data. In this sense, data mining is defined as "the nontrivial extraction of implicit,...unknown, and potentially useful information from data" [2]. People could not read, understand, or use the knowledge expressed in data format. In the data...

...harvesting, siftware, and even (when done poorly) data dredging. Whatever the name, the essence of KDD is the nontrivial extraction of implicit, previously...unknown, and potentially useful information from data [22]. A typical KDD system (see [22, 39]), guided by domain knowledge and user preferences, searches...

...marketing, production, operation, maintenance, or others. In summary, data mining or knowledge discovery, is the nontrivial extraction of implicit, previously...unknown, and potentially useful information from data [Sha"91 1. Some of the traditionally used computer techniques to accomplish data mining are: neural...

...statement of an information need (such as a query to the information system; 1 ). Knowledge discovery is "the nontrivial extraction of implicit, previously...unknown, and potentially useful information from data" (4). Most of the early work in knowledge discovery was done with structured (usually relational) databases....

...Integration for Knowledge Discovery Knowledge discovery in databases 1KDD), as described in [S], involves the non-trivial extraction of implicit, previously...unknown, and potentially useful information from data. KDD may be facilitated using statistical techniques for attribute reduction in order to allow KDD tools...