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논문검색

Layered Approach to Classify Web Pages using Firefly Feature Selection by Support Vector Machine (SVM)

초록

영어

With the very fast development in today`s digital world, Information Retrieval on Internet is gaining importance, day by day. The web comprises of huge amount of data and search engine provides an efficient way to navigate the web and get the relevant information. The search engine has proven to be less efficient in providing relevant information from a query processed by a user. Fors olving this problem and getting accurate results there is need to categorize these web pages. Many optimizations have also done to speedup the classification process as it is required to be fast while maintaining the efficiency. To maintain the accuracy with the lesser time requirement, researchers have developed a SVM based Layered approach with the help of firefly feature selection method.

목차

Abstract
 1. Introduction
 2. Support Vector Machine
 3. Firefly Algorithm
 4. Related Work
 5. Layered Approach to Classify Web Pages using Firefly Feature Selection by Support Vector Machine (LACWPUFFS-SVM)
 6. Experimental Setup and Results
 7. Conclusion and Future Work
 References

저자정보

  • Shashank Dixit Department of Computer Science and Engineering, MITS college, Gwalior, India
  • R. K. Gupta Professor, Department of Computer Science and Engineering, MITS college, Gwalior, India

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