Exploring the feasibility of integrating big data and blockchain technologies

2020 ◽  
pp. 110-119
Author(s):  
А.И. Кузнецов
Keyword(s):  
Big Data ◽  
Real Estate ◽  
Distributed Application ◽  
Technology Platform ◽  
Blockchain Technology ◽  
Computer Environment ◽  
The Difference ◽  
Real Estate Sales

Проведен анализ требований к обработке больших данных с использованием технологии блокчейн, показано, что в ряде проектов эти технологии, несмотря на различие архитектур, можно использовать совместно. Поставлена задача создать в компьютерной среде модель, которая показывает принцип обработки больших данных о продажах недвижимости на основе децентрализованной платформы технологии блокчейн. Определены архитектура и характеристики контрактов для микросервисов распределенного приложения. An analysis of the requirements for processing big data using blockchain technology is carried out it is shown that in a number of projects these technologies, despite the difference in architectures, can be used together. The task is to create a model in a computer environment that shows the principle of processing big data on real estate sales on the basis, of a decentralized blockchain technology platform. The architecture and characteristics of contracts for microservices of a distributed application are defined.

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 Predictive analytics using Big Data for the real estate market during the COVID-19 pandemic

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Andrius Grybauskas ◽  
Vaida Pilinkienė ◽  
Alina Stundžienė
Keyword(s):  
Big Data ◽  
Real Estate ◽  
Predictive Analytics ◽  
Real Estate Market ◽  
Gradient Boosting ◽  
The Real Estate ◽  
Time On The Market ◽  
Extreme Gradient Boosting ◽  
The Real Estate Market ◽  
The Difference

AbstractAs the COVID-19 pandemic came unexpectedly, many real estate experts claimed that the property values would fall like the 2007 crash. However, this study raises the question of what attributes of an apartment are most likely to influence a price revision during the pandemic. The findings in prior studies have lacked consensus, especially regarding the time-on-the-market variable, which exhibits an omnidirectional effect. However, with the rise of Big Data, this study used a web-scraping algorithm and collected a total of 18,992 property listings in the city of Vilnius during the first wave of the COVID-19 pandemic. Afterwards, 15 different machine learning models were applied to forecast apartment revisions, and the SHAP values for interpretability were used. The findings in this study coincide with the previous literature results, affirming that real estate is quite resilient to pandemics, as the price drops were not as dramatic as first believed. Out of the 15 different models tested, extreme gradient boosting was the most accurate, although the difference was negligible. The retrieved SHAP values conclude that the time-on-the-market variable was by far the most dominant and consistent variable for price revision forecasting. Additionally, the time-on-the-market variable exhibited an inverse U-shaped behaviour.

scholarly journals Blockchain Disrupting Fintech and the Banking System

Proceedings ◽  
2021 ◽  
Vol 74 (1) ◽  
pp. 24
Author(s):  
Eduard Alexandru Stoica ◽  
Daria Maria Sitea
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Financial Institutions ◽  
New World ◽  
Great Part ◽  
Banking System ◽  
Daily Activities ◽  
Blockchain Technology ◽  
Almost All

Nowadays society is profoundly changed by technology, velocity and productivity. While individuals are not yet prepared for holographic connection with banks or financial institutions, other innovative technologies have been adopted. Lately, a new world has been launched, personalized and adapted to reality. It has emerged and started to govern almost all daily activities due to the five key elements that are foundations of the technology: machine to machine (M2M), internet of things (IoT), big data, machine learning and artificial intelligence (AI). Competitive innovations are now on the market, helping with the connection between investors and borrowers—notably crowdfunding and peer-to-peer lending. Blockchain technology is now enjoying great popularity. Thus, a great part of the focus of this research paper is on Elrond. The outcomes highlight the relevance of technology in digital finance.

scholarly journals A Model of Real Estate Sales as a Career Choice

1999 ◽  
Vol 18 (3) ◽  
pp. 481-490 ◽  
Author(s):  
Donald Jud ◽  
Daniel Winkler
Keyword(s):  
Real Estate ◽  
Career Choice ◽  
Real Estate Sales

Representation in Multi-Issue Delegated Bargaining

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Shourjo Chakravorty
Keyword(s):  
Real Estate ◽  
Political Representation ◽  
Bargaining Game ◽  
Frequent Occurrence ◽  
Best Interest ◽  
Past Work ◽  
Multiple Issues ◽  
The Individual ◽  
Real Estate Sales

Abstract Delegated bargaining over multiple issues of varying sizes is a frequent occurrence and happens during such contexts as real estate sales and political representation. Past work has shown that while simultaneously bargaining over two issues, it is in the best interest of an individual to choose a representative with identical preferences as herself. By allowing the sizes of the two issues to vary, this paper uses a two-issue, two-player Rubinstein bargaining game to show that an individual is best served by selecting a representative whose preferences closest resemble her bargaining rival’s preferences. It is also found that in some instances depending on the size of the issues the individual will be indifferent when choosing between a representative with identical preferences and another with different preferences to bargain on her behalf.

Tokenization of Real Estate Using Blockchain Technology

2020 ◽  
pp. 77-90
Author(s):  
Ashutosh Gupta ◽  
Jash Rathod ◽  
Dhiren Patel ◽  
Jay Bothra ◽  
Sanket Shanbhag ◽  
...  
Keyword(s):  
Real Estate ◽  
Blockchain Technology
Sign in / Sign up

Export Citation Format

Share Document