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Volume 32
Guest Editorial Preface
Hemang Subramanian, Rong Liu
Published: Jan 1, 2021
DOI: 10.4018/JDM.2021010101
Volume 32
Renita M. Murimi, Grace Guiling Wang
A fundamental open question for oracles in blockchain environments is a determination of the amount of trust to be placed in the oracle. Oracles serve as intermediaries between a trusted blockchain... Show More
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Murimi, Renita M. and Grace Guiling Wang. "On Elastic Incentives for Blockchain Oracles." JDM vol.32, no.1 2021: pp.1-26. http://doi.org/10.4018/JDM.2021010101

APA

Murimi, R. M., & Wang, G. G. (2021). On Elastic Incentives for Blockchain Oracles. Journal of Database Management (JDM), 32(1), 1-26. http://doi.org/10.4018/JDM.2021010101

Chicago

Murimi, Renita M., and Grace Guiling Wang. "On Elastic Incentives for Blockchain Oracles," Journal of Database Management (JDM) 32, no.1: 1-26. http://doi.org/10.4018/JDM.2021010101

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Published: Jan 1, 2021
DOI: 10.4018/JDM.2021010102
Volume 32
Atefeh Mashatan, Victoria Lemieux, Seung Hwan (Mark) Lee, Przemysław Szufel, Zachary Roberts
This paper discusses the problem of double-ending fraud in real estate transactions – a type of transactional fraud wherein agents handling real estate transactions unfairly benefit (e.g., by... Show More
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Mashatan, Atefeh,et al. "Usurping Double-Ending Fraud in Real Estate Transactions via Blockchain Technology." JDM vol.32, no.1 2021: pp.27-48. http://doi.org/10.4018/JDM.2021010102

APA

Mashatan, A., Lemieux, V., Lee, S. H., Szufel, P., & Roberts, Z. (2021). Usurping Double-Ending Fraud in Real Estate Transactions via Blockchain Technology. Journal of Database Management (JDM), 32(1), 27-48. http://doi.org/10.4018/JDM.2021010102

Chicago

Mashatan, Atefeh and Victoria Lemieux, Seung Hwan (Mark) Lee, Przemysław Szufel, and Zachary Roberts. "Usurping Double-Ending Fraud in Real Estate Transactions via Blockchain Technology," Journal of Database Management (JDM) 32, no.1: 27-48. http://doi.org/10.4018/JDM.2021010102

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Published: Jan 1, 2021
DOI: 10.4018/JDM.2021010103
Volume 32
Yuan Lu, Qiang Tang, Guiling Wang
Though the retailer gift card has been an ultra-practical marketing tactic to attract customers to spend more, it, on the contrary, also places a great number of customers in troublesome situations... Show More
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Lu, Yuan,et al. "Enhancing the Retailer Gift Card via Blockchain: Trusted Resale and More." JDM vol.32, no.1 2021: pp.49-68. http://doi.org/10.4018/JDM.2021010103

APA

Lu, Y., Tang, Q., & Wang, G. (2021). Enhancing the Retailer Gift Card via Blockchain: Trusted Resale and More. Journal of Database Management (JDM), 32(1), 49-68. http://doi.org/10.4018/JDM.2021010103

Chicago

Lu, Yuan and Qiang Tang, and Guiling Wang. "Enhancing the Retailer Gift Card via Blockchain: Trusted Resale and More," Journal of Database Management (JDM) 32, no.1: 49-68. http://doi.org/10.4018/JDM.2021010103

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Published: Jan 1, 2021
DOI: 10.4018/JDM.2021010104
Volume 32
Hjalmar K. Turesson, Henry Kim, Marek Laskowski, Alexandra Roatis
Blockchains rely on a consensus among participants to achieve decentralization and security. However, reaching consensus in an online, digital world where identities are not tied to physical users... Show More
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Turesson, Hjalmar K.,et al. "Privacy Preserving Data Mining as Proof of Useful Work: Exploring an AI/Blockchain Design." JDM vol.32, no.1 2021: pp.69-85. http://doi.org/10.4018/JDM.2021010104

APA

Turesson, H. K., Kim, H., Laskowski, M., & Roatis, A. (2021). Privacy Preserving Data Mining as Proof of Useful Work: Exploring an AI/Blockchain Design. Journal of Database Management (JDM), 32(1), 69-85. http://doi.org/10.4018/JDM.2021010104

Chicago

Turesson, Hjalmar K. and Henry Kim, Marek Laskowski, and Alexandra Roatis. "Privacy Preserving Data Mining as Proof of Useful Work: Exploring an AI/Blockchain Design," Journal of Database Management (JDM) 32, no.1: 69-85. http://doi.org/10.4018/JDM.2021010104

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Published: Apr 1, 2021
DOI: 10.4018/JDM.2021040101
Volume 32
Adem Doganer, Zuopeng (Justin) Zhang
A new type of coronavirus (COVID-19), detected at the end of December 2019 in Wuhan, China, can pass from person to person, spreading very quickly. The COVID-19 outbreak has created stress among... Show More
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Doganer, Adem and Zuopeng (Justin) Zhang. "An Infodemiological Analysis of Google Trends in COVID-19 Outbreak: Predict Case Numbers and Attitudes of Different Societies." JDM vol.32, no.2 2021: pp.1-19. http://doi.org/10.4018/JDM.2021040101

APA

Doganer, A., & Zuopeng (Justin) Zhang,. (2021). An Infodemiological Analysis of Google Trends in COVID-19 Outbreak: Predict Case Numbers and Attitudes of Different Societies. Journal of Database Management (JDM), 32(2), 1-19. http://doi.org/10.4018/JDM.2021040101

Chicago

Doganer, Adem, and Zuopeng (Justin) Zhang. "An Infodemiological Analysis of Google Trends in COVID-19 Outbreak: Predict Case Numbers and Attitudes of Different Societies," Journal of Database Management (JDM) 32, no.2: 1-19. http://doi.org/10.4018/JDM.2021040101

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Published: Apr 1, 2021
DOI: 10.4018/JDM.2021040102
Volume 32
Xiaokang Song, Shijie Song, Yuxiang (Chris) Zhao, Hua Min, Qinghua Zhu
COVID-19 has brought a great impact on people's lives around the world. This paper aims to study the influencing factors of people's fear of missing out (FOMO) toward personal ICT use and its... Show More
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Song, Xiaokang,et al. "Fear of Missing Out (FOMO) Toward ICT Use During Public Health Emergencies: An Investigation on Predictors and Outcomes." JDM vol.32, no.2 2021: pp.20-35. http://doi.org/10.4018/JDM.2021040102

APA

Song, X., Song, S., Yuxiang (Chris) Zhao,, Min, H., & Zhu, Q. (2021). Fear of Missing Out (FOMO) Toward ICT Use During Public Health Emergencies: An Investigation on Predictors and Outcomes. Journal of Database Management (JDM), 32(2), 20-35. http://doi.org/10.4018/JDM.2021040102

Chicago

Song, Xiaokang and Shijie Song, Yuxiang (Chris) Zhao, Hua Min, and Qinghua Zhu. "Fear of Missing Out (FOMO) Toward ICT Use During Public Health Emergencies: An Investigation on Predictors and Outcomes," Journal of Database Management (JDM) 32, no.2: 20-35. http://doi.org/10.4018/JDM.2021040102

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Published: Apr 1, 2021
DOI: 10.4018/JDM.2021040103
Volume 32
Lu An, Junyang Hu, Manting Xu, Gang Li, Chuanming Yu
The highly influential users on social media platforms may lead the public opinion about public events and have positive or negative effects on the later evolution of events. Identifying highly... Show More
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MLA

An, Lu,et al. "Profiling the Users of High Influence on Social Media in the Context of Public Events." JDM vol.32, no.2 2021: pp.36-49. http://doi.org/10.4018/JDM.2021040103

APA

An, L., Hu, J., Xu, M., Li, G., & Yu, C. (2021). Profiling the Users of High Influence on Social Media in the Context of Public Events. Journal of Database Management (JDM), 32(2), 36-49. http://doi.org/10.4018/JDM.2021040103

Chicago

An, Lu and Junyang Hu, Manting Xu, Gang Li, and Chuanming Yu. "Profiling the Users of High Influence on Social Media in the Context of Public Events," Journal of Database Management (JDM) 32, no.2: 36-49. http://doi.org/10.4018/JDM.2021040103

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Published: Apr 1, 2021
DOI: 10.4018/JDM.2021040104
Volume 32
Milad Mirbabaie, Ireti Amojo, Stefan Stieglitz
This study focuses on Twitter affordances and sense-making outcomes during a single emergency situation. By using an interpretive affordance lens, this study aims to assess rumors as influencers of... Show More
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Mirbabaie, Milad,et al. "Affording Twitter in Emergency Situations: The Occurrence of Rumor Sense-Making." JDM vol.32, no.2 2021: pp.50-66. http://doi.org/10.4018/JDM.2021040104

APA

Mirbabaie, M., Amojo, I., & Stieglitz, S. (2021). Affording Twitter in Emergency Situations: The Occurrence of Rumor Sense-Making. Journal of Database Management (JDM), 32(2), 50-66. http://doi.org/10.4018/JDM.2021040104

Chicago

Mirbabaie, Milad and Ireti Amojo, and Stefan Stieglitz. "Affording Twitter in Emergency Situations: The Occurrence of Rumor Sense-Making," Journal of Database Management (JDM) 32, no.2: 50-66. http://doi.org/10.4018/JDM.2021040104

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Published: Apr 1, 2021
DOI: 10.4018/JDM.2021040105
Volume 32
Wen-Lung Shiau, Keng Siau, Yuan Yu, Jia Guo
IS/IT plays an important role in our everyday life, especially in today's Internet era. This article discusses the roles of IS/IT in providing services and support on information gathering... Show More
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Shiau, Wen-Lung,et al. "Research Commentary on IS/IT Role in Emergency and Pandemic Management: Current and Future Research." JDM vol.32, no.2 2021: pp.67-75. http://doi.org/10.4018/JDM.2021040105

APA

Shiau, W., Siau, K., Yu, Y., & Guo, J. (2021). Research Commentary on IS/IT Role in Emergency and Pandemic Management: Current and Future Research. Journal of Database Management (JDM), 32(2), 67-75. http://doi.org/10.4018/JDM.2021040105

Chicago

Shiau, Wen-Lung and Keng Siau, Yuan Yu, and Jia Guo. "Research Commentary on IS/IT Role in Emergency and Pandemic Management: Current and Future Research," Journal of Database Management (JDM) 32, no.2: 67-75. http://doi.org/10.4018/JDM.2021040105

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Published: Apr 1, 2021
DOI: 10.4018/JDM.20210401.oa1
Volume 32
Chunnian Liu, Qi Tian, Mengqiu Chen
The purpose of this paper is to explore the emotional composition, psychological characteristics, and the consistency between information behavior and attitude of social media users, and to provide... Show More
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Liu, Chunnian,et al. "Distinguishing Personality Recognition and Quantification of Emotional Features Based on Users' Information Behavior in Social Media." JDM vol.32, no.2 2021: pp.76-91. http://doi.org/10.4018/JDM.20210401.oa1

APA

Liu, C., Tian, Q., & Chen, M. (2021). Distinguishing Personality Recognition and Quantification of Emotional Features Based on Users' Information Behavior in Social Media. Journal of Database Management (JDM), 32(2), 76-91. http://doi.org/10.4018/JDM.20210401.oa1

Chicago

Liu, Chunnian and Qi Tian, and Mengqiu Chen. "Distinguishing Personality Recognition and Quantification of Emotional Features Based on Users' Information Behavior in Social Media," Journal of Database Management (JDM) 32, no.2: 76-91. http://doi.org/10.4018/JDM.20210401.oa1

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Published: Jul 1, 2021
DOI: 10.4018/JDM.2021070101
Volume 32
Monica Chiarini Tremblay, Alan R. Hevner
Online analytical processing (OLAP) engines display aggregated data to help business analysts compare data, observe trends, and make decisions. Issues of data quality and, in particular, issues with... Show More
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MLA

Tremblay, Monica Chiarini and Alan R. Hevner. "Missing Data in OLAP Cubes: Challenges and Strategies." JDM vol.32, no.3 2021: pp.1-28. http://doi.org/10.4018/JDM.2021070101

APA

Tremblay, M. C., & Hevner, A. R. (2021). Missing Data in OLAP Cubes: Challenges and Strategies. Journal of Database Management (JDM), 32(3), 1-28. http://doi.org/10.4018/JDM.2021070101

Chicago

Tremblay, Monica Chiarini, and Alan R. Hevner. "Missing Data in OLAP Cubes: Challenges and Strategies," Journal of Database Management (JDM) 32, no.3: 1-28. http://doi.org/10.4018/JDM.2021070101

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Published: Jul 1, 2021
DOI: 10.4018/JDM.2021070102
Volume 32
Yumeng Miao, Rong Du, Veda C. Storey
Developer creativity is vital for software companies to innovate and survive. Studies on social media have yielded mixed results about its impact on creativity due to the ubiquitous nature of social... Show More
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Miao, Yumeng,et al. "The Paradoxical Effect of Social Media Usage on Developer Creativity and the Moderating Role of Openness to Experience." JDM vol.32, no.3 2021: pp.29-45. http://doi.org/10.4018/JDM.2021070102

APA

Miao, Y., Du, R., & Storey, V. C. (2021). The Paradoxical Effect of Social Media Usage on Developer Creativity and the Moderating Role of Openness to Experience. Journal of Database Management (JDM), 32(3), 29-45. http://doi.org/10.4018/JDM.2021070102

Chicago

Miao, Yumeng and Rong Du, and Veda C. Storey. "The Paradoxical Effect of Social Media Usage on Developer Creativity and the Moderating Role of Openness to Experience," Journal of Database Management (JDM) 32, no.3: 29-45. http://doi.org/10.4018/JDM.2021070102

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Published: Jul 1, 2021
DOI: 10.4018/JDM.2021070103
Volume 32
Fei Liu, Meiyun Zuo
The COVID-19 pandemic is an ongoing global pandemic, which has caused global social and economic disruption. In addition to physical illness, people have to endure the intrusion of rumors... Show More
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MLA

Liu, Fei and Meiyun Zuo. "Learn From the Rumors: International Comparison of COVID-19 Online Rumors Between China and the United Kingdom." JDM vol.32, no.3 2021: pp.46-68. http://doi.org/10.4018/JDM.2021070103

APA

Liu, F., & Zuo, M. (2021). Learn From the Rumors: International Comparison of COVID-19 Online Rumors Between China and the United Kingdom. Journal of Database Management (JDM), 32(3), 46-68. http://doi.org/10.4018/JDM.2021070103

Chicago

Liu, Fei, and Meiyun Zuo. "Learn From the Rumors: International Comparison of COVID-19 Online Rumors Between China and the United Kingdom," Journal of Database Management (JDM) 32, no.3: 46-68. http://doi.org/10.4018/JDM.2021070103

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Published: Jul 1, 2021
DOI: 10.4018/JDM.2021070104
Volume 32
Sudhaman Parthasarathy, Maya Daneva
Requirements engineering (RE) for startups has only recently become an area of intense exploration. This paper provides results of a qualitative study with 45 practitioners from four startup... Show More
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MLA

Parthasarathy, Sudhaman and Maya Daneva. "A Requirements Engineering Framework for Software Startup Companies." JDM vol.32, no.3 2021: pp.69-94. http://doi.org/10.4018/JDM.2021070104

APA

Parthasarathy, S., & Daneva, M. (2021). A Requirements Engineering Framework for Software Startup Companies. Journal of Database Management (JDM), 32(3), 69-94. http://doi.org/10.4018/JDM.2021070104

Chicago

Parthasarathy, Sudhaman, and Maya Daneva. "A Requirements Engineering Framework for Software Startup Companies," Journal of Database Management (JDM) 32, no.3: 69-94. http://doi.org/10.4018/JDM.2021070104

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Published: Jul 1, 2021
DOI: 10.4018/JDM.2021070105
Volume 32
Marcelo Fantinato, Sarajane Marques Peres, Eleanna Kafeza, Dickson K. W. Chiu, Patrick C. K. Hung
In recent years, machine learning has been used for data processing and analysis, providing insights to businesses and policymakers. Deep learning technology is promising to further revolutionize... Show More
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Fantinato, Marcelo,et al. "A Review on the Integration of Deep Learning and Service-Oriented Architecture." JDM vol.32, no.3 2021: pp.95-119. http://doi.org/10.4018/JDM.2021070105

APA

Fantinato, M., Peres, S. M., Kafeza, E., Chiu, D. K., & Hung, P. C. (2021). A Review on the Integration of Deep Learning and Service-Oriented Architecture. Journal of Database Management (JDM), 32(3), 95-119. http://doi.org/10.4018/JDM.2021070105

Chicago

Fantinato, Marcelo and Sarajane Marques Peres, Eleanna Kafeza, Dickson K. W. Chiu, and Patrick C. K. Hung. "A Review on the Integration of Deep Learning and Service-Oriented Architecture," Journal of Database Management (JDM) 32, no.3: 95-119. http://doi.org/10.4018/JDM.2021070105

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Published: Oct 1, 2021
DOI: 10.4018/JDM.2021100101
Volume 32
Xia Feng, Zhiyi Hu, Caihua Liu, W. H. Ip, Huiying Chen
In recent years, deep learning has achieved remarkable results in the text-image retrieval task. However, only global image features are considered, and the vital local information is ignored. This... Show More
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MLA

Feng, Xia,et al. "Text-Image Retrieval With Salient Features." JDM vol.32, no.4 2021: pp.1-13. http://doi.org/10.4018/JDM.2021100101

APA

Feng, X., Hu, Z., Liu, C., Ip, W. H., & Chen, H. (2021). Text-Image Retrieval With Salient Features. Journal of Database Management (JDM), 32(4), 1-13. http://doi.org/10.4018/JDM.2021100101

Chicago

Feng, Xia and Zhiyi Hu, Caihua Liu, W. H. Ip, and Huiying Chen. "Text-Image Retrieval With Salient Features," Journal of Database Management (JDM) 32, no.4: 1-13. http://doi.org/10.4018/JDM.2021100101

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Published: Oct 1, 2021
DOI: 10.4018/JDM.2021100102
Volume 32
Xingsi Xue, Chao Jiang, Jie Zhang, Cong Hu
Biomedical ontology formally defines the biomedical entities and their relationships. However, the same biomedical entity in different biomedical ontologies might be defined in diverse contexts... Show More
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Xue, Xingsi,et al. "Biomedical Ontology Matching Through Attention-Based Bidirectional Long Short-Term Memory Network." JDM vol.32, no.4 2021: pp.14-27. http://doi.org/10.4018/JDM.2021100102

APA

Xue, X., Jiang, C., Zhang, J., & Hu, C. (2021). Biomedical Ontology Matching Through Attention-Based Bidirectional Long Short-Term Memory Network. Journal of Database Management (JDM), 32(4), 14-27. http://doi.org/10.4018/JDM.2021100102

Chicago

Xue, Xingsi and Chao Jiang, Jie Zhang, and Cong Hu. "Biomedical Ontology Matching Through Attention-Based Bidirectional Long Short-Term Memory Network," Journal of Database Management (JDM) 32, no.4: 14-27. http://doi.org/10.4018/JDM.2021100102

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Published: Oct 1, 2021
DOI: 10.4018/JDM.2021100103
Volume 32
Yundong Guo, Jeng-Shyang Pan, Chengbo Qiu, Fang Xie, Hao Luo, Huiqiang Shang, Zhenyu Liu, Jianrong Tan
While it is risky considering spacecraft constraints and unknown environment on asteroid, surface sampling is an important technique for asteroid exploration. One of the sample return missions is to... Show More
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Guo, Yundong,et al. "SinGAN-Based Asteroid Surface Image Generation." JDM vol.32, no.4 2021: pp.28-47. http://doi.org/10.4018/JDM.2021100103

APA

Guo, Y., Pan, J., Qiu, C., Xie, F., Luo, H., Shang, H., Liu, Z., & Tan, J. (2021). SinGAN-Based Asteroid Surface Image Generation. Journal of Database Management (JDM), 32(4), 28-47. http://doi.org/10.4018/JDM.2021100103

Chicago

Guo, Yundong and Jeng-Shyang Pan, Chengbo Qiu, Fang Xie, Hao Luo, Huiqiang Shang, Zhenyu Liu, and Jianrong Tan. "SinGAN-Based Asteroid Surface Image Generation," Journal of Database Management (JDM) 32, no.4: 28-47. http://doi.org/10.4018/JDM.2021100103

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Published: Oct 1, 2021
DOI: 10.4018/JDM.2021100104
Volume 32
*Chenyang Bu, Xingchen Yu, Yan Hong, Tingting Jiang
The automatic construction of knowledge graphs (KGs) from multiple data sources has received increasing attention. The automatic construction process inevitably brings considerable noise, especially... Show More
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Bu, *Chenyang,et al. "Low-Quality Error Detection for Noisy Knowledge Graphs." JDM vol.32, no.4 2021: pp.48-64. http://doi.org/10.4018/JDM.2021100104

APA

Bu, *., Yu, X., Hong, Y., & Jiang, T. (2021). Low-Quality Error Detection for Noisy Knowledge Graphs. Journal of Database Management (JDM), 32(4), 48-64. http://doi.org/10.4018/JDM.2021100104

Chicago

Bu, *Chenyang and Xingchen Yu, Yan Hong, and Tingting Jiang. "Low-Quality Error Detection for Noisy Knowledge Graphs," Journal of Database Management (JDM) 32, no.4: 48-64. http://doi.org/10.4018/JDM.2021100104

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Published: Oct 1, 2021
DOI: 10.4018/JDM.2021100105
Volume 32
Shengfei Lyu, Jiaqi Liu
Recurrent neural network (RNN) and convolutional neural network (CNN) are two prevailing architectures used in text classification. Traditional approaches combine the strengths of these two networks... Show More
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Lyu, Shengfei and Jiaqi Liu. "Convolutional Recurrent Neural Networks for Text Classification." JDM vol.32, no.4 2021: pp.65-82. http://doi.org/10.4018/JDM.2021100105

APA

Lyu, S., & Liu, J. (2021). Convolutional Recurrent Neural Networks for Text Classification. Journal of Database Management (JDM), 32(4), 65-82. http://doi.org/10.4018/JDM.2021100105

Chicago

Lyu, Shengfei, and Jiaqi Liu. "Convolutional Recurrent Neural Networks for Text Classification," Journal of Database Management (JDM) 32, no.4: 65-82. http://doi.org/10.4018/JDM.2021100105

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IGI Global Open Access Collection provides all of IGI Global’s open access content in one convenient location and user-friendly interface that can easily searched or integrated into library discovery systems. Browse IGI Global Open
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Contact
Professor Keng Siau, PhD
Head of the Department of Information Systems
Chair Professor of Information Systems
City University of Hong Kong
E-mail: isjofdm@cityu.edu.hk