This paper refers to a graph called grapharti which I have developed. Grapharti is designed to organise and display large amounts of data obtained from surveys, opinion polls, course/teacher evaluations, sports and the stock market. The data are retrieved from a database and displayed on a web page. The purpose of this paper is to show that grapharti can encourage exploration of and facilitate ...

This article evaluates a web page-oriented representation model for document clustering, using self-organizing maps. The representation is based on heuristic combinations of criteria by means of a fuzzy rules system. The experiments show an improvement in the proposed model behaviour versus traditional representations as TF, Bin-IDF and TF-IDF, with different vector dimensions, and using a refe...

Due to the exponential growth of Internet users and traffic, information seekers depend highly on search engines extract relevant information. accessibility a large amount textual, audio, video etc., contents, responsibility has increased. The engine provides concerning their query, based content, link structure, etc. However, it does not guarantee correctness performance is dependent upon rank...

The one of the most time consuming steps for association rule mining is the computation of the frequency of the occurrences of itemsets in the database. The hash table index approach converts a transaction database to an hash index tree by scanning the transaction database only once. Whenever user requests for any Uniform Resource Locator (URL), the request entry is stored in the Log File of th...

Current search engines are largely text based, and the text vocabulary that they use is a poor match for the style based concerns. Search engines return pages whose content relates semantically to the keyword query; they cannot be used for searches along stylistic attributes such as “pages with funny backgrounds” or “pages that look professional” etc. We propose a system1 that will allow users ...

Web page classification is achieved using text classification techniques. Web page classification is different from traditional text classification due to additional information, provided by web page structure which provides much information on content importance. HTML tags provide visual web page representation and can be considered a parameter to highlight content importance. Textual keywords...

Plagiarism is described as using someone else's ideas or work without their permission. Using lexical and semantic text similarity notions, this paper presents a plagiarism detection system for examining suspicious texts against available sources on the Web. The user can upload files in pdf docx formats. will search three popular engines source (Google, Bing, Yahoo) try to identify top five res...