ISSN2456-3315
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Paper Title

Customer Based Mapping of Real Estate Using Data Mining Techniques

Authors

Harshvadan Rode , Akshay Vardekar , Atharva Patil , Prof. Sejal DMello

Keywords

Data mining, house price forecasting, prediction, linear regression, real estate

Abstract

Now-a-days people looking to buy a new house tend to be more cautious and careful with their budgets and market policies. The existing system involves computation of house prices without the crucial prediction about future market tendency and rate increase. Aim of this project was to develop a real estate web application using Microsoft ASP.NET and SQL 2008. The real estate system permit the functionality for users, allowing them to search for properties by features ,pricing or address. It also provides functionality for the seller vendor by authorizing them to log into the system and add and include new advertisements or delete and remove the existing ones. For this each user is provided with a login account and password. Along with this, when the user will quest for the property, initial property price and predicted property price will be displayed. By examining previous market trends and price sets, and also upcoming developments future prices will be predicted. For the price value prediction we will be applying classification algorithm. The functioning this project comprises a website which accepts customer’s specifications and then operates on the application of data mining. This application will aid customers to lend in an estate without approaching an agent or broker . It also reduces the hazards involved in the transaction.

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJRTI — journal style
"Customer Based Mapping of Real Estate Using Data Mining Techniques", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.4, Issue 4, page no.22 - 24, April-2019, Available :https://ijrti.org/papers/IJRTI1904006.pdf
APA — 7th edition
Rode, H., Vardekar, A., Patil, A., & DMello, S. (2019). Customer Based Mapping of Real Estate Using Data Mining Techniques. International Journal for Research Trends and Innovation, 4(4), 22 - 24. https://ijrti.org/viewpaperforall.php?paper=IJRTI1904006
MLA — 9th edition
Rode, Harshvadan, et al. "Customer Based Mapping of Real Estate Using Data Mining Techniques." International Journal for Research Trends and Innovation, vol. 4, no. 4, 2019, pp. 22 - 24, https://ijrti.org/viewpaperforall.php?paper=IJRTI1904006.
Chicago — 17th, bibliography
Rode, Harshvadan, et al. "Customer Based Mapping of Real Estate Using Data Mining Techniques." International Journal for Research Trends and Innovation 4, no. 4 (2019): 22 - 24. https://ijrti.org/viewpaperforall.php?paper=IJRTI1904006.
Harvard — author–date
Rode, H. et al. (2019) 'Customer Based Mapping of Real Estate Using Data Mining Techniques', International Journal for Research Trends and Innovation, 4(4), pp. 22 - 24. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI1904006
IEEE — numbered reference
H. Rode, A. Vardekar, A. Patil and S. DMello, "Customer Based Mapping of Real Estate Using Data Mining Techniques," IJRTI, vol. 4, no. 4, pp. 22 - 24, Apr. 2019.
Vancouver — biomedical
Rode H, Vardekar A, Patil A, DMello S. Customer Based Mapping of Real Estate Using Data Mining Techniques. IJRTI. 2019 Apr;4(4):22 - 24.
AMA — 11th edition
Rode H, Vardekar A, Patil A, DMello S. Customer Based Mapping of Real Estate Using Data Mining Techniques. IJRTI. 2019;4(4):22 - 24. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI1904006
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI1904006, author = {Harshvadan Rode and Akshay Vardekar and Atharva Patil and Sejal DMello}, title = {Customer Based Mapping of Real Estate Using Data Mining Techniques}, journal = {International Journal for Research Trends and Innovation}, volume = {4}, number = {4}, pages = {22 - 24}, year = {2019}, month = {April}, issn = {2456-3315}, url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI1904006} }
RIS — EndNote, RefWorks
TY - JOUR AU - Rode, Harshvadan AU - Vardekar, Akshay AU - Patil, Atharva AU - DMello, Sejal TI - Customer Based Mapping of Real Estate Using Data Mining Techniques T2 - International Journal for Research Trends and Innovation JA - IJRTI VL - 4 IS - 4 PY - 2019 SN - 2456-3315 UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI1904006 SP - 22 EP - 24 ER -

Issue

Volume 4 Issue 4, April-2019
Pages : 22 - 24

Other Publication Details

Paper Reg. ID IJRTI_180785
Published Paper ID IJRTI1904006
Downloads 205,658
Research Area Engineering
Country Mumbai, Maharashtra , India
Published April 2019

About Publisher

International Journal for Research Trends and Innovation Published by IJRTI (JW Publication)
2456-3315 ISSN
10.57 Impact Factor
2016 ESTD Year
Open Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Licence

© 2019 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
 Disclaimer: The content, data and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses or consequences arising from its use.

Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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