Abstract
A standout among the most difficult assignments continuously condition is the expectation of house sales. Understanding the different components that impacts house sales is as much as critical on knowing a technique on the most proficient method to play out the forecast. Henceforth, it is a most extreme important to distinguish the relationship among various properties utilized in the dataset. These datasets can be received from different open databases and information repositories. Even though it has two distinct models (predictive and descriptive) for extracting the data, utilized grouping strategy for existing model, the support for utilizing such technique is clarified in this segment. With respect to the above expressed fundamental facts in this article, we play out the expectation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Diamond, W., Campbell, L.: The framing of sales promotions: effects on reference price change. Adv. Consum. Res. Assoc. Consum. Res. 16, 241–247 (1989)
Brookins, M.: Effectiveness of Sales Promotion. Accessed from: http://www.ehow.com/about_5463003_effectiveness-sales-promotion.html (2009). Accessed on 17 Dec. 2011
Chandon, P., Wansink, B., Laurent, G.: A benefit congruency framework of sales promotion effectiveness. J. Mark. 64(4), 65–81 (2000)
Boulding, W., Lee, E., Staelin, R.: Mastering the mix: do advertising, promotion, and sales force activities lead to differentiation? J. Mark. Res. 31(2), 159–172 (1994)
Cengage, G.: Sales Promotion. Accessed from: http://www.enotes.com/sales-promotionreference/sales-promotion-178752 (2002). Accessed on 17 Dec. 2011
Anderson, A.: Major Objectives of Sales Promotion. Accessed from: http://www.ehow.com/list_6707925_major-objectives-sales-promotion.html (2009). Accessed on 17 Dec. 2011
d’Astous, A., Landreville, V.: An experimental investigation of factors affecting consumers’ perceptions of sales promotions. Eur. J. Mark. 37(11/12), 1746–1761 (2003)
Abraham, M.M., Lodish, L.M.: Getting the most out of advertising and promotion. Harvard Bus. Rev. 68(3), 50 (1990)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Pradeepthi, C., Vijaya Geetha, V., Ramasubbareddy, S., Govinda, K. (2020). Prediction of Real Estate Price Using Clustering Techniques. In: Venkata Krishna, P., Obaidat, M. (eds) Emerging Research in Data Engineering Systems and Computer Communications. Advances in Intelligent Systems and Computing, vol 1054. Springer, Singapore. https://doi.org/10.1007/978-981-15-0135-7_27
Download citation
DOI: https://doi.org/10.1007/978-981-15-0135-7_27
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0134-0
Online ISBN: 978-981-15-0135-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)