Dipali R. Patil

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The World Wide Web continues to grow at an exponential rate, so fetching information about a special-topic is gaining importance which poses exceptional scaling challenges for general-purpose crawlers and search engines. This paper describes a web crawling approach based on best first search. As the goal of a focused crawler is to selectively seek out pages(More)
In medical field the diagnosis of heart disease is most difficult task. It depends on the careful analysis of different clinical and pathological data of the patient by medical experts, which is complicated process. Due to advancement in machine learning and information technology, the researchers and medical practitioners in large extent are interested in(More)
In this paper we have implemented a new k-means variant for clustering. Huge amount of data is generated on social media websites which challenges us to predict collective behavior. Collective behavior means to understand how the individual behaves in social networking environment. There is problem of prediction on sites as there are many numbers of actors.(More)
In this paper we have implemented a two stage frame work to remove unwanted text from images: first stage is to detect text from image and second stage is to remove that text using method of inpainting. To detect text, text localization and extraction is carried out followed by method of inpainting to fill the holes generated in image using surrounding(More)
In human life, use of correct medicinal plant for treating diseases is very important. Medicinal plant is the important part of the Indian Ayurvedic system. So there is a need of heuristic search of medicinal plants over India. The huge amount of information related to medicinal plants is available on World Wide Web. For collecting such domain specific(More)
Web spam is one of the recent problems of search engines because it powerfully reduced the quality of the Web page. Web spam has an economic impact because spammers provide a large free advertising data or sites on the search engines and so an increase in the web traffic. In this paper we have implemented spam detection system based on a SVM classifier that(More)
Text in video and images is an extremely valuable feature to extract brief knowledge of video or image. But sometimes those text components feel unnecessary, and so various methods have been proposed till a day to detect, and remove the text out of video. This paper performs an extensive survey of various techniques available for text detection and removal(More)
The process of grouping or combining of data items known as clustering and groups formed are clusters. Sentence clustering mainly utilized in variety of applications such as grouping, categorization of documents, automatic summary generation, organization of the documents etc. Sentence clustering has importance in the text mining domain. Cluster sizes vary(More)
Camera-enabled mobile devices are commonly used as interaction platforms for linking the user's virtual and physical worlds in commercial applications. The various application scenarios give rise to a key technique of daily life visual object recognition. On-premise signs (OPSs), a popular form of profitable advertising, are mostly used in our daily life.(More)
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