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The sustainable development of financial topic detection and trend prediction by data mining

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TLDR
This paper conducts data mining on 759 papers related to blockchain technology in the financial field by means of co-word analysis, bi-clustering algorithm and strategic coordinate analysis, to explore hot topics in this field and predict the future development trend.
Abstract
Blockchain technology is the most cutting-edge technology in the field of financial technology, which has attracted extensive attention from governments, financial institutions and investors of various countries. Blockchain and finance, as an interdisciplinary, cross-technology and cross-field topic, has certain limitations in both theory and application. Based on the bibliometrics data of Web of Science, this paper conducts data mining on 759 papers related to blockchain technology in the financial field by means of co-word analysis, bi-clustering algorithm and strategic coordinate analysis, so as to explore hot topics in this field and predict the future development trend. The experimental results found ten research topics in the field of blockchain combined with finance, including blockchain crowdfunding, Fintech, encryption currency, consensus mechanism, the Internet of Things, digital financial, medical insurance, supply chain finance, intelligent contract and financial innovation. Among them, blockchain crowdfunding, Fintech, encryption currency and supply chain finance are the key research directions in this research field. Finally, this paper also analyzes the opportunities and risks of blockchain development in the financial field and puts forward targeted suggestions for the government and financial institutions.

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Citations
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Exploration of Financial Market Credit Scoring and Risk Management and Prediction Using Deep Learning and Bionic Algorithm

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The digital asset value and currency supervision under deep learning and blockchain technology

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A critical analysis of the integration of blockchain and artificial intelligence for supply chain

TL;DR: In this paper , a state-of-the-art review of blockchain and artificial intelligence (AI) in the field of supply chains is presented, where the authors identify relevant research studies that have contributed both conceptually and empirically to the expansion and accumulation of intellectual wealth in the supply chain discipline through the integration of Blockchain and AI.
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The Optimization of Supply Chain Financing for Bank Green Credit Using Stackelberg Game Theory in Digital Economy Under Internet of Things

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Exploring Quality Evaluation of Innovation and Entrepreneurship Education in Higher Institutions Using Deep Learning Approach and Fuzzy Fault Tree Analysis

TL;DR: In this article , the authors put forward a theoretical model based on deep learning (DL) method to analyze the factors of IEE quality; consequently, based on the traditional FTA, fuzzy fault tree analysis (FFTA) was proposed to evaluate the reliability of entrepreneurial classroom teaching for college teachers and students.
References
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Proceedings ArticleDOI

An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends

TL;DR: An overview of blockchain architechture is provided and some typical consensus algorithms used in different blockchains are compared and possible future trends for blockchain are laid out.
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The bibliometric analysis of scholarly production: How great is the impact?

TL;DR: A keyword analysis identifies the most popular subjects covered by bibliometric analysis, and multidisciplinary articles are shown to have the highest impact.
Journal ArticleDOI

Healthcare Data Gateways: Found Healthcare Intelligence on Blockchain with Novel Privacy Risk Control

TL;DR: An App (called Healthcare Data Gateway (HGD) architecture based on blockchain is proposed to enable patient to own, control and share their own data easily and securely without violating privacy, which provides a new potential way to improve the intelligence of healthcare systems while keeping patient data private.
Journal ArticleDOI

Empirical and Theoretical Comparisons of Selected Criterion Functions for Document Clustering

TL;DR: This paper evaluates the performance of different criterion functions in the context of partitional clustering algorithms for document datasets, and shows that there are a set of criterion functions that consistently outperform the rest.
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Blockchain technology in the chemical industry: Machine-to-machine electricity market

TL;DR: It is concluded that this technology has significant under-researched potential to support and enhance the efficiency gains of the revolution and identifies areas for future research.
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What are the future prospects of blockchain in the financial sector?

The paper discusses the future development trends of blockchain in the financial sector, including topics such as blockchain crowdfunding, Fintech, encryption currency, and supply chain finance.