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2,255 results on '"Wang, Shouyang"'

122. 30 years of exchange rate analysis and forecasting: A bibliometric review.

Author

Fang, Siran, Wei, Yunjie, and Wang, Shouyang

Subjects
FOREIGN exchange rates, BIBLIOMETRICS, FOREIGN exchange market, PRICES, COMMODITY exchanges
Abstract

Due to the strong nonlinearity and high complexity of foreign exchange rate data, how best to accurately analyze their trends and forecast them is regarded as a challenging research topic. While such research has developed rapidly and a large number of publications have appeared, few programmatic quantitative and qualitative overviews have been compiled in the field of exchange rate. By integrating bibliometric methods with network visualization based on CiteSpace software, this study analyzed 4999 publications of exchange rate research from the Web of Science (WoS) Core Collection database during 1992 to 2021. The study summarizes the major development in exchange rate determination since Meese‐Rogoff puzzle, from New Open‐Economy Macroeconomics (NOEM) and the Foreign Exchange Market Micro‐Structure Hypotheses, to determination model based on relationship between exchange rate and commodity price. Through the study's statistical analysis, co‐occurrence, co‐citation, and co‐keywords analysis, the influential authors, research institutions, countries and regions, journals, research hotspots, and future trends in the field of exchange rate are intellectually identified over the past 30 years. As a complement to existing literature, this paper provides theoretical and practical reference for researchers and practitioners in the field of exchange rate. [ABSTRACT FROM AUTHOR]

Published
2024
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123. How do tourists perceive churches as tourism destinations? A text mining approach through online reviews.

Author

Sun, Shaolong, Wang, Lintao, Zhao, Erlong, and Wang, Shouyang

Subjects
DESTINATION image (Tourism), TOURIST attitudes, TOURIST attractions, TEXT mining
Abstract

Church tourism has gained popularity due to the historical, artistic, and religious significance of churches, contributing significantly to the social and economic sectors. The destination image of churches plays a crucial role in tourism marketing. However, existing literature predominantly relies on traditional methods to study tourists' perception of churches as tourism destinations, with limited analysis of user‐generated content (UGC) like online reviews. This study aims to fill this gap by analyzing the online reviews of 10 renowned European churches posted on TripAdvisor using text mining techniques. Findings reveal that tourists mainly focus on overall description, visiting experience, architectural design, and surrounding environment of the church, with specific areas of interest for certain churches. The research findings can assist church administrators in formulating sustainable tourism strategies and promoting the development of the church tourism. [ABSTRACT FROM AUTHOR]

Published
2024
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135. Forecasting Tourist Arrivals in China Based on Seasonal Decomposition and LSSVR Model

Author

Xie, Gang, Zhang, Jian, Yang, Boyu, Wang, Shouyang, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Liu, Yong, editor, Wang, Lipo, editor, Zhao, Liang, editor, and Yu, Zhengtao, editor

Published
2020
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140. Privacy Preservation in Distributed Subgradient Optimization Algorithms

Author

Lou, Youcheng, Yu, Lean, and Wang, Shouyang

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Mathematics - Optimization and Control
Abstract

Privacy preservation is becoming an increasingly important issue in data mining and machine learning. In this paper, we consider the privacy preserving features of distributed subgradient optimization algorithms. We first show that a well-known distributed subgradient synchronous optimization algorithm, in which all agents make their optimization updates simultaneously at all times, is not privacy preserving in the sense that the malicious agent can learn other agents' subgradients asymptotically. Then we propose a distributed subgradient projection asynchronous optimization algorithm without relying on any existing privacy preservation technique, where agents can exchange data between neighbors directly. In contrast to synchronous algorithms, in the new asynchronous algorithm agents make their optimization updates asynchronously. The introduced projection operation and asynchronous optimization mechanism can guarantee that the proposed asynchronous optimization algorithm is privacy preserving. Moreover, we also establish the optimal convergence of the newly proposed algorithm. The proposed privacy preservation techniques shed light on developing other privacy preserving distributed optimization algorithms.

Published
2015

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