 | Marion J. Ball, Kathryn J. Hannah, Susan K. Newbold, Judith V. Douglas - 2000 - 480 pages
...undiscovered relationships in the data. KDD is defined by Fayyad et al. (1996, p. 6) as a "non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data". Fayyad et al. (1996) also refer to KDD as the process of deriving high-level knowledge from low-level... | |
 | Zbigniew W. Ras, Maciek Michalewicz - 1996 - 684 pages
...Mining vs. Knowledge Discovery We define Knowledge Discovery in Databases in [17] as the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data. Let us examine these terms in more detail. We want discovery be non-trivial meaning that the discovery... | |
 | Saso Dzeroski, Jan Struyf - 2007 - 301 pages
...languages. 4 The Basic Concepts of Data Mining "Knowledge discovery in databases (KDD) is the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data", state Fayyad et al. (1996). According to this definition, data mining (DM) is the central step in the... | |
 | Louis A. Wehenkel - 1998 - 318 pages
...possible values as suggested ai Fig. 2. l.2 Knowledge discovery in data bases (KDD) is the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data [FPSSU96] . Another frequently used term is Data mining (DM) which is a step in the KDD process consisting... | |
 | Ning Zhong, Jiming Liu, Yiyu Yao, Jinglong Wu, Shengfu Lu, Kuncheng Li - 2007 - 526 pages
...Discovery Process in GridMiner Knowledge discovery in databases (KDD) can be defined as a non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data [7]. KDD is a highly interactive process and to achieve appealing results the user must permanently... | |
 | Jay Liebowitz, Thomas J. Beckman - 1998 - 212 pages
...learning. According to Fayyad, Piatetsky-Shapiro, and Smyth,4 Knowledge Discovery in Databases (KDD) is the process of identifying valid, novel, potentially...useful, and ultimately understandable patterns in data. KDD is a multi-step process involving data selection, preprocessing, transformation, mining, and interpretation/evaluat... | |
 | Sanjiv Purba - 1999 - 1050 pages
...a rapidly growing interest in data mining from both the academic and industrial communities. KDD is the process of identifying valid, novel, potentially...useful, and ultimately understandable patterns in data. Steps in a KDD process include data selection, preprocessing, transformation, data mining, and interpretation/evaluatio... | |
 | Jason T. L. Wang, Bruce A. Shapiro, Dennis Shasha - 1999 - 280 pages
...Computational Approaches to Knowledge Discovery Knowledge discovery has been defined as "the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data" (Fayyadet al., 1996b). Generally, the automated discovery process is interactive and iterative. Brachman... | |
 | Menahem Friedman, Abraham Kandel - 1999 - 350 pages
...volumes of data. 10 CHAPTER 1 INTRODUCTION Knowledge discovery in databases (KDD) is the non-binial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data. They use the notion of interestingness to denote the overall measure of pattern value, combining validity,... | |
 | Yrjo Henr Roos - 1999 - 638 pages
...in this field, Ussama Fayyad of Microsoft [32]:"Knowledge discovery in databases is the non-trivial process of identifying valid novel potentially useful and ultimately understandable patterns in data." At the 1997 Annual Meeting of the American Institute of Chemical Engineers the Food, Pharmaceutical... | |
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Knowledge discovery in databases (KDD) is the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data [1]. 
