http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Shashank Dixit (검색결과 2 건)
- 무료
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- 유료
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Shashank Dixit,R. K. Gupta 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.5
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.
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Review: Biological Optimization Techniques in Webpage Classification
Shashank Dixit,Dr. R. K. Gupta 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.1
With the explosive growth of the data stored in various forms, need for innovative and effective technologies to find and use information and knowledge from a large variety of data sources which is continually increasing. Web information contains a lot of noise. Web Mining is the application of data mining techniques to discover classification of web data. It focuses on techniques that could predict the data’s class while the user interacts with the web. The aim of this paper is to measure, propose and improve the use of advance web page classification techniques which is highly used in the advent of mining large web pages based data sets which allows data analysts to conduct more efficient execution of large scale web pages data searches. Thus in this paper researchers introduce an improved concept which may reduce the search space using classification techniques with optimization technique.
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