Temporal Analyzing Time Interval for Text Document in Text Excavation
A. Prasanth Babu1, N. Srinivasan2
1Prasanth Babu, M.E Computer Science and Engineering, Sathyabama University, Chennai, India.
2Dr. N. Srinivasan, Professor& Head Dept. of Computer Applications, Sathyabama University Chennai, India.
Manuscript received on March 27, 2014. | Revised Manuscript received on April 16, 2014. | Manuscript published on April 30, 2014. | PP: 48-50 | Volume-3, Issue-4, April 2014. | Retrieval Number: D2809043414/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Text excavation has been an unavoidable data excavation technique. There are different methods for text excavation, the most famous one criterion matching successful will be excavation using the effective criterions. The quality of excavation text data is the main problem text excavation due to the large number of terms, words, tables, phrases, and noise. However, the originality of excavation terms in text data may be not high because of lot of noise in text especially in the domain of text excavation. Pattern taxonomy model is a criterion-based method which adopts the technique of sequential criterion excavation and uses closed criterions as features in the representative. In Criterion taxonomy model it does not analyze the time period to the given text documents and also does not provide the rank to the given sets of documents. Existing is used to term-based approach to extracting the text. In this system we are going to propose the temporal text excavation approach which it calculates the time series and give the rank of the documents by decomposing the documents.
Keywords: Text Excavation, Terrestrial sequence, Stumble Criterion Evolution, D-Criterion.