Paper Title :Membership Localization Within A Web Based Join Framework

Author :K. Lalitha, M. Keerthana, G. Kalpana, S.T. Shwetha, M. Geetha

Article Citation :K. Lalitha ,M. Keerthana ,G. Kalpana ,S.T. Shwetha ,M. Geetha , (2014 ) " Membership Localization Within A Web Based Join Framework " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 64-68, Volume-2,Issue-4

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.

Type : Research paper

Published : Volume-2,Issue-4

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