Paper PublishingData Mining Approach to find the Interest of People in Purchasing Real-Estates
Objective
The main objective of the project is to detect the interest in purchasing the real estates using data mining techniques.
Abstract
Data mining is extraction of information and consolidates it to helpful data which can be utilized for future calculation and prediction of an event. Subsequently by utilizing data mining methods we are anticipating the interest of individuals in different types of real estate and we are also defining certain pattern can be helpful in purchasing them. In this research we are going to gather individual's enthusiasm for the kind of properties, and other different kinds of information and transform them into data chains utilizing certain datamining algorithms by means of which we can predict people’s interest about what type of property they are likely going to buy and at what locations they are most likely to buy property. Here, we will use two data mining techniques that have been used to classify the data on the basis of certain attributes are Classification (zero classifier) and clustering (simple k means) and on the basis of results several graphs are drawn.
Keywords
Real estate, interest, classification, data, clustering.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
HARDWARE SYSTEM CONFIGURATION:
- Processor- I3/Intel Processor
- Ram- 4GB (min)
- Hard Disk- 160GB
SOFTWARE SYSTEM CONFIGURATION:
- Operating System: Windows 7/8/10
- Application Server: Tomcat 9.0
- Front End: HTML, JSP
- Scripts: JavaScript.
- Server side Script: Java Server Pages.
- Database: My SQL 6.0
- Database Connectivity: JDBC.
Learning Outcomes
· What is data mining?
· How to prepare a dataset.
· How to clean the data?
· How to find people’s interest?
· How to classify and cluster the data?
· How to remove outliers?
· Data base connections.
· Working Procedure.
· Use of HTML and CSS on UI Designs.
· Data Parsing Front-End to Back-End.
· Scope of Real Time Application Scenarios.
· What is a search engine and how browser can work?
· What is Tomcat server and how they can work?
· What type of technology versions is used?
· Need of Eclipse-IDE to develop a web application.
· Testing Techniques.
· Error Correction mechanisms.
· How to run and deploy the applications?
· Introduction to basic technologies used for.
· Input and Output modules.
· How test the project based on user inputs and observe the output?
· Project Development Skills:
o Problem analyzing skills.
o Problem solving skills.
o Creativity and imaginary skills.
o Programming skills.
o Deployment.
o Testing skills.
o Debugging skills.
o Project presentation skills.
o Thesis writing skills.
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Disclaimer - Takeoff Edu Group Projects, are not associated or affiliated with IEEE, in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, and not projects of or by IEEE.
