Earticle

초록

영어

The extraction of similar features based on quality is called pattern discovery to the huge number of terms, phrases and noise. Identifying the better pattern discovery is the major problem to extract the accurate information from the text documents because of the noise and unwanted data present in the text documents. In this paper, pattern discovery is used to find the frequent item sets and reducing the noise from text documents and implement the advanced pattern discovery approach. In this paper, for implementation we use .txt files with unstructured data to find the efficient patterns.

목차

Abstract
 1. Introduction
 2. Existing System
  2.1. Disadvantages of Existing System
 3. Proposed System
  3.1. Advantages of Proposed System
 4. Proposed Work
  4.1. Loading Document
  4.2. Text Preprocessing
  4.3. Pattern Taxonomy Process
  4.4. Pattern Deploying
  4.5. Pattern Evolving
 5. Conclusion
 References

키워드

저자

• S. Suresh Babu [ Department of Information Technology, VFSTR University, Vadlamudi-522213, Guntur, India ]
• Vahiduddin Shariff [ Department of Computer Science and Engineering, Sir C R Reddy College of Engineering, Eluru, West Godavari district ]
• CH. M. H. Saibaba [ Department of Computer Science and Engineering, KL University, Vadddeswaram-522502, Guntur, India ]
• Debnath Bhattacharyya [ Department of Computer Science and Engineering, Vignan’s Institute of Information Technology, Visakhapatnam-530049, India ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605