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Prediction of Real Estate Price Using Clustering Techniques
C Pradeepthi, V J Vijaya Geetha, Somula Ramasubbareddy,
Published in Springer Singapore
2020
Volume: 1054
   
Pages: 281 - 289
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. © Springer Nature Singapore Pte Ltd 2020.
About the journal
JournalData powered by TypesetEmerging Research in Data Engineering Systems and Computer Communications Advances in Intelligent Systems and Computing
PublisherData powered by TypesetSpringer Singapore
ISSN2194-5357
Open Access0