Leena H. Patil

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Now a day, the text document is spontaneously increasing over the internet, e-mail and web pages and they are stored in the electronic database format. To arrange and browse the document it becomes difficult. To overcome such problem the document preprocessing, term selection, attribute reduction and maintaining the relationship between the important terms(More)
Text Classification and Feature Selection are mostly used for organizing the text document in the digitized form. Due to the enormous increased in number of documents in digitized form, text categorization and feature selection approach becomes most important and promising in the last decades. The problem arises for text categorization is the large number(More)
The rapid growth of web pages available on the Internet recently, searching relevant and up-to-date information has become a crucial issue. Information retrieval is one of the most crucial components in search engines and their optimization would have a great effect on improving the searching efficiency due to dynamic nature of web it becomes harder to find(More)
Data mining is the automatic extraction of previously unknown patterns from the database. In order to better serve the needs of web based applications and to find the associated data from web, the overview of privacy preserving in mining association rule and the private dataset is given in this paper. Here protocols are proposed to allow secure association(More)
— Now a days, the text document is spontaneously increasing over the internet, e-mail and web pages and they are stored in the electronic database format. To arrange and browse the document it becomes difficult. To overcome such problem the document preprocessing, term selection, attribute reduction and maintaining the relationship between the important(More)
Bulk data is generated in the era ofInformation Technology. If it is not stored in aproperly systematic manner then the generated datacannot be reused. This is because navigation becomes if not impossible, certainly very difficult. The data generated is to analyze so as to maximizethe benefits, for intelligent decision making. Textcategorization is an(More)
In The recent year, the uses of mobile devices has witnessed an emerging need to improve the user experience of digital library browsing and search, with various applications such as education, augmented reality, location search and product retrieval, searching and response time of delivery staying a challenging issues in mobile document search previously(More)
In this paper, we proposed a newregion based contrast enhancement algorithm for local and global contrast of an image. An image is segmented by detecting all objects in an images using saliency map technique. A depth map is generate using salient object detected image and original image. We generate two depth map, background and foreground depth map.(More)
Multimodal information (textual and visual) which is a recent trend for image retrieval related researches. With the fusion of two different data mining techniques to retrieve semantically related images: clustering and Apriori algorithm. Web based image search using text queries has received major attention. However, image based search is still under(More)
Criminology is the cream of crimes, crime fatalities, theories of ill-legal and abnormal behavior, social exploration, anti-crime polices, the political terrain of social control. So criminology involves the factual deeds in the streets, police stations, and courts, behind prison bars, board rooms and battlefields. Its practitioners are likely to slot in(More)