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.
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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 -
International Journal for Research Trends and InnovationPublished by IJRTI (JW Publication)
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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.