kindly Read through abstracts,copy edith and give to your surpervisor....

Department:  Computer Science
AMOUNT:  20000
PAGES:  85 pages, abstract, chapter 1-5 , APENDIX A source code and APENDIX B output, well reserached and supervised
  information system

Abstract Preview


 In a number of real-life applications, the user is interested in analysing several sources of information together: a graph combined with the additional information known on its nodes, numerical variables measured on individuals and factors describing these individuals.

The self-organizing map (SOM) is an automatic data-analysis method. It is widely applied to clustering problems and data exploration in industry, finance, natural sciences, and linguistics. The most extensive applications, exemplified in this work, can be found in the management of massive textual databases and in bioinformatics. With the rapid development of information management system, retrieving relevant information is difficult task. The efficient clustering algorithms are needed to improve the results of the retrieval. Document clustering is a process of recognizing the similarity or dissimilarity among the given objects and forms subgroups sharing common characteristics. This research focuses on string clustering of staff records in the graduate school using self organising map algorithm. The proposed system was designed and implemented using object oriented programming language java and my MYSQL database.

Get Complete Work

is there any thing you dont understand ? quickly call us now on 08032738761
Are you in Computer science or computer related? and you need already made project with source code and little modification? we have many. download Abstract now Classified projects