TY  - JOUR
T1  - Pattern Deploying Methods for Text Mining
AU - Changala, Ravindra AU - Rajeswara Rao, D. 
JO  - International Journal of Soft Computing
VL  - 13
IS  - 2
SP  - 61
EP  - 68
PY  - 2018
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2018.61.68
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2018.61.68
KW  - Pruning
KW  -closed sequential pattern
KW  -PDS
KW  -PDM
KW  -SCPM
KW  -consuming
AB  - Effective use of discovered patterns in text documents is an open issue. Many data mining
techniques have been proposed and gave solutions with respective difficulties. Still, improving the
effectiveness of patterns use became a research issue. This study presents pattern deploying for text mining
patterns by considering pattern as atom. The significance of pattern can be measured with weighing functions;
it is time consuming in the computational aspect. Hence, we need an efficient and effective pattern evolution
technique for effective use of discovered patterns. The objective of this study is to explore pattern deploying
methods after pattern is discovered in text documents based on supports. Finally, explains interference and
significance of a specific pattern.
ER  -