Knowledge Discovery and Data Mining

Knowledge Discovery in Data Mining and Massive Data Mining

Knowledge discovery is a process of non trivial extraction of previously unknown and presently useful information. The rapid advancement of the technology resulted in the increasing rate of data distributions. The data generated from mobile applications, sensor applications, network monitoring, traffic management, weblogs etc. can be referred as a data stream. The data streams are massive in na...

Medical data mining and knowledge discovery.

No wonder you activities are, reading will be always needed. It is not only to fulfil the duties that you need to finish in deadline time. Reading will encourage your mind and thoughts. Of course, reading will greatly develop your experiences about everything. Reading medical data mining and knowledge discovery is also a way as one of the collective books that gives many advantages. The advanta...

Geographic Data Mining and Knowledge Discovery:

Acknowledgments: Thanks to Mark Gahegan and Phoebe McNeally for some helpful comments on this chapter.

Knowledge Discovery in Databases and Data Mining

Knowledge Discovery and Data Mining (KDD-2003)

Feature selection is an important issue for any learning algorithm, since reduced feature sets lead to an improvement in learning time, reduced model complexity and, in many cases, a reduced risk of overfitting. When performing feature selection for RAM-based learning algorithms, we typically assume that the cost of accessing each feature is uniform. In multirelational data mining, especially w...