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| Titel: |
An Innovative Approach in Text Mining |
| Auteur: |
R.Santhanalakshmi Dr.K.Alagarsamy |
| Verschenen in: |
International journal of computer technology and applications |
| Paginering: | Jaargang 02 (2011) nr. 01 pagina's 193-198 |
| Jaar: |
2011 |
| Inhoud: |
The text mining is the classification and predictive modelings that are based on bootstrapping techniques re-use a source data set for the specific application, which is specialized for avoid the information overloading and redundancy. The results offer a classification and prediction results are minimum compare with the original data source. Text is the common approach used to examine text and data in order to draw conclusions about the structure and relationships between sets of information contained in the original set or approximate the some expected values. In this paper we are going to retrieve the bovine diseases information form the internet using k-means clustering and principal component analysis. |
| Uitgever: |
Technopark Publications (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 2 van 20 gevonden artikelen
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