Data Mining Methods for Analysis and Forecast of an Emerging Technology Trend: A Systematic Mapping Study from SCOPUS Papers

Viet, Nguyen Thanh; Kravets, Alla G.; Hoang, Tu Duong Quoc

doi:10.1007/978-3-030-86855-0_7

Cited by 8 publications

(4 citation statements)

References 83 publications

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“…One of the popular methods for analyzing innovations and technologies is bibliometrics, which is the statistical analysis of text, data, and information, usually in the form of publications such as scientific journals, books, articles, conference proceedings, and patent applications. When analyzing technologies, the sources of publications are usually scientific journals and patents [1,13].…”

Section: Methodsmentioning

confidence: 99%

“…Then the matrix A ([Publication × Word]) has dimension [691 × 506]; thus, the co-occurrence matrix W has dimension [506 × 506], which is presented in Figure 3. Then the co-occurrence matrix W is converted to a sparse matrix type to reduce the memory occupied when generating the keyword network analysis (network clustering), which has been used recently for identifying major research trends [1,26]. Network clustering analysis, also known as community detection, is an approach to specifying clusters of nodes that are densely connected to each other on the network, and revealing underlying hidden relationships between them.…”

Section: New Methods Of Clustering Keyword Co-occurrence Networkmentioning

confidence: 99%

“…The evolution of topics in science and technology is always of great interest to scientists, firms, and governments for many decades because emerging technologies can radically change the condition both in the world markets and in a separate enterprises [1,2]. These may be cloud solutions, big data management, industrial Internet of Things, complex system modeling, and analytics.…”

Section: Introductionmentioning

confidence: 99%

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The New Method for Analyzing Technology Trends of Smart Energy Asset Performance Management

Viet

Kravets

2022

Energies

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The development of emerging technologies not only has recently affected current industrial production but also has generated promising manufacturing opportunities that impact significantly on social and economic factors. Exploring upcoming renovation tendencies of technologies prematurely is essential for governments, research and development institutes, and industrial companies in managing strategies to achieve dominant advantages in business competitiveness. Additionally, the prospective changes, the scientific research directions, and the focus of technologies are crucial factors in predicting promising technologies. On the other hand, Industry 4.0 revolutionizes standards and models by accompanying significant technology developments in numerous sectors, including the sector of Smart energy. Moreover, asset performance management is always a prominent topic that has attained prevalence over the last decade because numerous challenges force all industrial companies to optimize their asset usability. However, to the best of our knowledge, no study reported an analysis of technology trends of asset performance management in the Smart energy sector by using proper data mining methods. Hence, this paper aims to fill in this gap and provide an analysis of technology trends of asset performance management in the Smart energy sector by structuring and exploring research subjects, considering problems, and solving methods with numerous experiments on scientific papers and patent data.

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Section: Methodsmentioning

confidence: 99%

Section: New Methods Of Clustering Keyword Co-occurrence Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The New Method for Analyzing Technology Trends of Smart Energy Asset Performance Management

Viet

Kravets

2022

Energies

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“…Similarly, Calleja-Sanz et al (2020) explored the evolution of technology forecasting methods and discussed their concepts, developments, and recent trends. More recently, Lee (2021) presented an overview of journal articles on data analytics in technology forecasting published in the field of technology and innovation management, and Viet et al (2021) systematically reviewed data mining methods for emerging technology trend analysis and forecasting. Table 1 presents a comparison of existing surveys of the literature on technology forecasting (TF).…”

Section: Introductionmentioning

confidence: 99%

Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods

Tsai

Berleant

Segall

et al. 2023

Int. J. Innovation Technol. Management

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Quantitative technology forecasting uses quantitative methods to understand and project technological changes. It is a broad field encompassing many different techniques and has been applied to a vast range of technologies. A widely used approach in this field is trend extrapolation. Based on the literature available to us, there has been little or no attempt made to systematically review the empirical evidence on quantitative trend extrapolation techniques. This study attempts to close this gap by conducting a systematic review of the technology forecasting literature addressing the application of quantitative trend extrapolation techniques. We identified 25 studies relevant to the objective of this research and classified the techniques used in the studies into different categories, among which the growth curves and time series methods were shown to remain popular over the past decade while the newer methods, such as machine learning-based hybrid models, have emerged in recent years. As more effort and evidence are needed to determine if hybrid models are superior to traditional methods, we expect a growing trend in the development and application of hybrid models to technology forecasting.

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Lecture Notes in Networks and Systems

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Data Mining Methods for Analysis and Forecast of an Emerging Technology Trend: A Systematic Mapping Study from SCOPUS Papers

Cited by 8 publications

References 83 publications

The New Method for Analyzing Technology Trends of Smart Energy Asset Performance Management

The New Method for Analyzing Technology Trends of Smart Energy Asset Performance Management

Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods

Cyber-Physical Test Facility for Certification of Robotic Unmanned Aerial Systems

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