By Yee Leung

while I ?rst came upon the time period information mining and data discovery in databases, i used to be excited and curious to ?nd out what it was once all approximately. i used to be excited as the time period has a tendency to express a brand new ?eld that's within the making. i used to be curious simply because I puzzled what it used to be doing that the opposite ?elds of analysis, corresponding to records and the vast ?eld of arti?cial intelligence, weren't doing. After studying up at the literature, i've got come to achieve that it isn't a lot diverse from traditional information research. the widely used de?nition of data discovery in databases: “the non-trivial strategy of choosing legitimate, novel, in all probability necessary, and eventually comprehensible styles in info” is really in accordance with the middle project of traditional facts research. the method hired by way of traditional info research is not at all trivial, and the styles in facts to be unraveled have, in fact, to be legitimate, novel, invaluable and comprehensible. accordingly, what's the commotion all approximately? cautious scrutiny of the most strains of analysis in information mining and information discovery back instructed me that they're now not a lot diverse from that of traditional information research. placing apart info warehousing and database m- agement elements, back a chief sector of analysis in traditional database study, the remainder of the projects in info mining are mostly the most issues of traditional facts analysis.

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