Ela Kumar
Gautam Buddha University
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Publication
Featured researches published by Ela Kumar.
international conference on computer engineering and technology | 2010
Arun Solanki; Ela Kumar
There are two types of web- Surface web & Deep web. Surface web is crawled by a general purpose search engine like- Google, Yahoo etc. Deep web is the area of the WWW which is hidden from general purpose search engine. Hence the information of deep web is not retrieved by general purpose search engine. In this paper we built unified interfaces for different domains like books, movies, electronics etc. A query is passed through this unified interface to the website servers and we find the result of high accuracy for different domains. Using this techniques the less time is consumed for searching the query in a specific domains in comparison of general purpose search engines .
ieee international conference on information management and engineering | 2010
Laxmi Ahuja; Ela Kumar
This paper proposes a new expert web search engine for Web Environment. It applies a knowledge engineering based technique for the development of this expert system. To understand the basic functioning of search engine, various Web Forums and Blogs have been considered. Our work develops Intelligent Agent and Interaction Agent based knowledge base of Search Engine. This knowledge based Search Engine model thus developed will be useful in knowledge management and knowledge reuse. At user level, it can be used for suggesting best search results to the user and at organizational level it can be used for drawing various conclusions for managing quality database for better application use.
International Journal of Intelligent Systems Design and Computing | 2017
Arun Solanki; Ela Kumar
This paper reports a new approach for providing intelligence in the expert system for diagnosis of diseases for rose flower. It describes the development of a web-based intelligent disease diagnosis system. This expert system is based on a fuzzy logic approach and the Euclidean distance method. This approach is based on rule advancement strategy. This approach enables the drawing of inferences with the enhanced intelligence. This approach is used in the existing fuzzy technique for inferencing in expert system. The proposed expert system incorporates new features: 1) development of knowledge management platform; 2) dynamic knowledge base creation strategy. The dynamically prompted rules are derived from those diagnosis sessions which resulted in successful decisions. This enables more efficient decision-making in the future sessions; 3) dynamic knowledge acquisition; 4) explanation facility which incorporates the rule firing history and rule explanation generator. This expert system gives an acceptable diagnosis of diseases. The inferences are drawn faster compared to traditional approaches. The proposed expert system which is based on rule advancement strategy has been tested for flower rose.
International Journal of Computer Applications | 2013
Nripendra Narayan Das; Ela Kumar; Sheetal
With the use of World Wide Web internet engines like Google will be the tools which in turn allow you in order to understand along with speedily look for solutions. Even so the present engines like Google will not think about user’s actual needs. Criteria associated with page position are usually keys associated with search engine optimization. Most engines like Google tend to be position their own listings according to user’s dilemma. The particular PageRank formula can be used inside the search engines search engine optimization in order to status listings. With these cardstock examination present page position algorithms, strategies are usually presented plus comparability among these is usually carried out.
INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN SCIENCE AND TECHNOLOGY (ICM2ST-10) | 2010
Jyoti Pruthi; Ela Kumar
Search engines on the Internet are used daily to access and find information. While these services are providing an easy way to find information globally, they are also suffering from artificially created false results. This paper describes two techniques that are being used to manipulate the search engines: spam pages (used to achieve higher rankings on the result page) and cloaking (used to feed falsified data into search engines). This paper also describes two proposed methods to fight this kind of misuse, algorithms for both of the formerly mentioned cases of spamdexing.
Archive | 2013
Jyoti Gautam; Ela Kumar
Archive | 2013
Sandhya Tarar; Ela Kumar
Archive | 2010
Ela Kumar; Arun Solanki
Archive | 2011
Jyoti Pruthi; Ela Kumar; Manav Rachna
International Journal of Software Engineering & Applications | 2012
Sandhya Tarar; Ela Kumar