Document Comparison and Classification | JAVA: Search Engine, A Plagiarism Detector and A Database

Aishah Amir

ISBN 10: 3838360478 / ISBN 13: 9783838360478

Published by LAP LAMBERT Academic Publishing, 2010

About this Item

Document Comparison and Classification | JAVA: Search Engine, A Plagiarism Detector and A Database | Aishah Amir | Taschenbuch | 100 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838360478 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 101110165

Bibliographic Details

• Title: Document Comparison and Classification | JAVA: Search Engine, A Plagiarism Detector and A Database
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2010
• Language: English
• ISBN 10: 3838360478
• ISBN 13: 9783838360478
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 167 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Nowadays, with the rapid introduction of new technologies, new and more robust plagiarism detectors are being made. But the problem is that not all plagiarism detectors are free. This project aims at developing a plagiarism detector which will be usable for everyone and which will be free. This system will be developed using JAVA as the main programming language. There will be three major parts in this project namely a search engine, a plagiarism detector and a database to classify these documents. As a database, the system will be using MySql as MySql is more reliable and more easily used. But overall, all about the system will be written in Java. Java is the most used language in any field nowadays. That is why Java was opted. This development of a ?Document Comparison and Classification? system is intended to facilitate the comparing of two documents in order to know the amount by which that document has been plagiarized. This system will also help tutors, lecturers and other people in order to reduce the amount of plagiarism there exist today.