DOIONLINE 
DOIONLINE Publish In |
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN |
 Journal Home Volume Issue |
||||||||
Issue |
Volume-2,Issue-4 ( Apr, 2014 ) | |||||||||
Paper Title |
Membership Localization Within A Web Based Join Framework | |||||||||
Author Name |
K. Lalitha, M. Keerthana, G. Kalpana, S.T. Shwetha, M. Geetha | |||||||||
Affilition |
Assistant Professor, Information Technology, Panimalar Engineering College, Information Technology, Panimalar Engineering College | |||||||||
Pages |
64-68 | |||||||||
Abstract |
Abstract— We propose a new type of Dictionary-based Entity recognition problem named AML (Approximate Membership Localization). AME (Approximate Membership Extraction) provides an extraction of the truly matched substrings in the given documents. But there are many redundancies that may cause a low efficiency of the AME process which leads to the degradation in the performance. The AML targets at locating non-overlapped substrings. In order to increase the efficiency the AML performance we use a new algorithm called the P-Prune algorithm. | |||||||||
| View Paper | ||||||||||
