Big data assisted customer analysis and advertising architecture for real estate

2016 ◽  
Author(s):  
Xinzhou Cheng ◽  
Mingqiang Yuan ◽  
Lexi Xu ◽  
Tao Zhang ◽  
Yuwei Jia ◽  
...  
Keyword(s):  
Big Data ◽  
Real Estate ◽  
Customer Analysis

Blockchain Technology and Its Applications

2020 ◽  
pp. 111-121
Author(s):  
Lavanya Lingareddy ◽  
Parthiban Krishnamoorthy
Keyword(s):  
Big Data ◽  
Real Estate ◽  
Information Technologies ◽  
High Demand ◽  
Blockchain Technology ◽  
The People ◽  
Banking Education ◽  
Almost All ◽  
New Generation ◽  
Generation Information

Like other new generation information technologies such as IoT, big data, AI, and cloud, cryptocurrency and blockchain became buzz words in both industry and academia due to their advantageous features. With the features like decentralization, transparency, immutability, blockchain technology became more famous and is emerging in almost all fields like banking, education, healthcare, government, and real estate. Blockchain technology was introduced in the year 1991. It came into existence after this technology was created for bitcoin, a digital cryptocurrency by Santoshi Nakamoto in the year 2008. Since then, the blockchain is evolving rapidly. Even though blockchain usage is in high demand in all the sectors and it has received attention from many international organizations, most of the people lag in knowledge of blockchain technology and Cryptocurrency and how exactly they work. This chapter explores more in detail what blockchain technology is, how it works, and its applications.

scholarly journals Research and Analysis of a Real Estate Virtual E-Commerce Model Based on Big Data Under the Background of COVID-19

2021 ◽  
Vol 33 (6) ◽  
pp. 1-16
Author(s):  
Delong Zhu
Keyword(s):  
Big Data ◽  
Real Estate ◽  
Virtual Communities ◽  
Rapid Development ◽  
Real Estate Market ◽  
The Internet ◽  
Real Estate Industry ◽  
The Real ◽  
The Real Estate ◽  
Model Based

The sudden attack of the new crown virus in 2020 has brought an unprecedented impact on the real estate market economy and has completely disrupted people's work and life rhythm! With the rapid development of the Internet, the Internet has penetrated into all aspects of people's lives. As soon as e-commerce was introduced, it was loved by the majority of young people and brought tremendous changes to people's lives. Based on this, this paper studies a real estate virtual e-commerce model based on big data. In the study of this model, this paper combines the advantages of e-commerce and virtual communities to design a more effective virtual e-commerce model. The analysis of e-commerce and virtual communities shows that the virtual e-commerce model designed in this paper is a more effective model, and the real estate virtual e-commerce model based on big data technology can serve the real estate industry. Do a good job in the sales reform of the real estate industry.

scholarly journals Big data analysis for studying spatiotemporal trends in the sustainable development of large cities

2021 ◽  
Vol 258 ◽  
pp. 01006
Author(s):  
Kseniya Mulyukova ◽  
Viktor Kurejchik
Keyword(s):  
Big Data ◽  
Real Estate ◽  
Large City ◽  
Graphical Form ◽  
Primary Study ◽  
Practical Implementation ◽  
Data Sets ◽  
Mathematical Basis ◽  
Processing Technologies ◽  
Spatiotemporal Trends

The article covers the analysis of big data in urban planning. The purpose of this work is to study modern problems of processing big data containing information about real estate objects and prospects for solving these problems, as well as the possibility of practical implementation of the methodology for processing such data sets by designing and filling a special graphic abstraction “metahouse” using a practical example. The relevance of the study lies in identifying a number of advantages in the presentation of data in graphical form. The mathematical basis of the technique is the use of multidimensional spaces, where measurements are the characteristics of individual objects. In the course of the work, the specifics of big data sets, consisting of information about real estate in a large city, were described. methods of effective solution of the set practical problem of processing and searching for patterns in a large data array were proposed: abstraction “metahouse”, data aggregator. In the course of the study, it was revealed that the presentation of groups of the obtained data in a graphical form has a number of advantages over the tabular presentation of data. The obtained results can be used both for the primary study of big data processing technologies, and as a basis for the development of real applications in the following areas: analysis of changes in the area of houses over time, analysis of changes in the number of storeys in urban development, etc.

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