Computer Science – Learning
Scientific paper
2009-06-04
Ann. Univ. Tibiscus Comp. Sci. Series VII(2009),325-340
Computer Science
Learning
16 pages, exposed on 5th International Conference "Actualities and Perspectives on Hardware and Software" - APHS2009, Timisoar
Scientific paper
The avalanche quantity of the information developed by mankind has led to concept of automation of knowledge extraction - Data Mining ([1]). This direction is connected with a wide spectrum of problems - from recognition of the fuzzy set to creation of search machines. Important component of Data Mining is processing of the text information. Such problems lean on concept of classification and clustering ([2]). Classification consists in definition of an accessory of some element (text) to one of in advance created classes. Clustering means splitting a set of elements (texts) on clusters which quantity are defined by localization of elements of the given set in vicinities of these some natural centers of these clusters. Realization of a problem of classification initially should lean on the given postulates, basic of which - the aprioristic information on primary set of texts and a measure of affinity of elements and classes.
Shumeyko A. A.
Sotnik S. L.
No associations
LandOfFree
Using Genetic Algorithms for Texts Classification Problems does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Using Genetic Algorithms for Texts Classification Problems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Using Genetic Algorithms for Texts Classification Problems will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-494495