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检索条件"任意字段=9th IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science, BCD 2024"

共 134 条记录，以下是1-10 订阅

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9th ieee/acis international conference on big data, cloud computing, and data science, bcd 2024

9th IEEE/ACIS International Conference on Big Data, Cloud Co...

引用

9th ieee/acis international conference on big data, cloud computing, and data science, bcd 2024

ISBN: (纸本)9798350394191

the proceedings contain 45 papers. the topics discussed include: enhancing and validating simulator data generation integrity through frequency-based analysis;data analysis of interest continuation factors for creating core fans in anime production projects;quarterly analysis of purchasing trends using product-specific association analysis;utilizing machine learning predictive analytics to enhance early sepsis diagnosis in critical care setting;OSS fault removal system based on deep learning inspired by immune system;multi-label text classification with transfer learning;optimizing deep learning accuracy: visibility filtering approach for early wildfire detection in forest sensor images;and understanding co-working space users: aspect-based sentiment analysis.

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Quarterly Analysis of Purchasing Trends Using Product-Specific Association Analysis 9

Quarterly Analysis of Purchasing Trends Using Product-Specif...

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9th ieee/acis international conference on big data, cloud computing, and data science, bcd 2024

作者： Kawanishi, Yujiro Takeda, Yoshiyuki Kato, Kazuhiko Graduate School of Social Systems Science Chiba Institute of Technology Chiba Japan

ISBN: (纸本)9798350394191

In data mining using big data, Customer Relationship Management (CRM) is widely practiced to estimate detailed customer needs. CRM primarily utilizes RFM analysis to implement appropriate strategies for each customer category, aiming to increase profits by enhancing customer satisfaction. Additionally, association analysis is employed to extract useful rules and adapt them to these strategies. In this study, we classify purchase history data by product and conduct quarterly association analyses to elucidate customers' purchasing tendencies. Moreover, by extracting association rules for each quarter, this study enables the analysis of seasonal product changes and allows for a more detailed estimation of customer needs. © 2024 ieee.

关键词： Public relations

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Complementary Method for NER by Extracting Proper Nouns from Images when Utilizing LLM 9

Complementary Method for NER by Extracting Proper Nouns from...

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9th ieee/acis international conference on big data, cloud computing, and data science, bcd 2024

作者： Iwakami, Yutaka Takuma, Hironori Iwashita, Motoi Nork Research Co. Ltd. Department of Research & Analysis for IT Industry Tokyo Japan Chiba Institute of Technology Department of Digital Transformation Chiba Japan Chiba Institute of Technology Department of Management Information Science Chiba Japan

ISBN: (纸本)9798350394191

When utilizing Generative AI leveraged with LLM, it is essential to make LLM recognize proper nouns such as product/service names. For extracting them, NER applying other LLM is also considered. However, when enterprises use LLM in daily business such as marketing research, frequent extraction of proper nouns is inevitable, so it is desirable to adopt an easier extracting method in parallel. this paper proposes a new method to extract proper nouns automatically from images such as logos on the Internet. © 2024 ieee.

关键词： Market Research

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Assessing the Trustworthiness of Individual System Developers using SNS 9

Assessing the Trustworthiness of Individual System Developer...

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9th ieee/acis international conference on big data, cloud computing, and data science, bcd 2024

作者： Iwami, Takuya Iwashita, Motoi Graduate School of Social Systems Science Chiba Institute of Technology Chiba Japan Chiba Institute of Technology Dept. of Management Information Science Chiba Japan

ISBN: (纸本)9798350394191

In recent years, with the proliferation of cloud computing technology, companies have increasingly adopted cloud services. In particular, the need for DX business in the software industry has led to an increase in job vacancies. the use of freelancers is a possible response to the shortage of jobs. An important consideration when a company chooses a freelancer is whether he or she can be trusted to get the job done on time. Such information cannot be derived from the submitted profile. this paper proposes a method to objectively assess the trustworthiness of freelancers as a method to quantitatively evaluate trustworthiness based on the consistency of information transmitted by freelancers on SNS, which is highly rated for ease of information acquisition and trustworthy validity. the proposed method was validated with advanced and novice freelancers, and the results showed that novice freelancers had lower points and advanced freelancers had higher points, indicating the validity of the evaluation method based on experience. © 2024 ieee.

关键词： cloud platforms

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Precise 3-D Modeling of Art Works and Its Reality Evaluation 9

Precise 3-D Modeling of Art Works and Its Reality Evaluation

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9th ieee/acis international conference on big data, cloud computing, and data science, bcd 2024

作者： Takii, Yuji Kanaya, Ichi Graduate School of Engineering Nagasaki University Nagasaki Japan Graduate School of Integrated Science and Technology Nagasaki University Nagasaki Japan

ISBN: (纸本)9798350394191

In this paper, taking into account the limitation of not being able to touch or shine a laser on a part of the paintings, including the three-dimensional objects on display, the SfM method was used to acquire three-dimensional shapes from the images, texture as color information and diffuse reflection characteristics were added to the acquired three-dimensional data, and shading was also added in real time to create CG data. Using this CG data and High-Resolution images, museum staff were asked to evaluate the sensory reality of the CG images in comparison with the actual artworks. © 2024 ieee.

关键词： 3D modeling

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Automatic Evaluation of Video Contents Using Eye Gaze and Facial Expression 9

Automatic Evaluation of Video Contents Using Eye Gaze and Fa...

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9th ieee/acis international conference on big data, cloud computing, and data science, bcd 2024

作者： Ishikawa, Ryuzo Nomiya, Hiroki Kyoto Institute of Technology Department of Information Science Kyoto Japan Kyoto Institute of Technology Faculty of Information and Human Sciences Kyoto Japan

ISBN: (纸本)9798350394191

the rating value of video contents is important for creators and viewers. It is difficult to obtain accurate evaluations using current evaluation methods such as good buttons and 5-level evaluations. the main reason is that there are many viewers who do not rate videos due to tedious task. To make the evaluation of videos more reliable and accurate, we propose a method to create features from the eye gaze and facial expressions of video viewers and automatically appreciate video contents using a machine learning model. the accuracy on a 5-level evaluation is 46.8% for all participants' data and 52.7% for those who expressed facial expressions while watching the video. Although it is difficult to perform evaluations using only eye gaze, it is suggested that the accuracy could be improved by adding eye gaze to facial expressions. © 2024 ieee.

关键词： Video analysis

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OSS Fault Removal System Based on Deep Learning Inspired by Immune System 9

OSS Fault Removal System Based on Deep Learning Inspired by ...

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9th ieee/acis international conference on big data, cloud computing, and data science, bcd 2024

作者： Tamura, Yoshinobu Miyamoto, Shoichiro Anand, Adarsh Takeda, Haruki Zhou, Lei Kapur, Pramod Kumar Heima, Souta Yamada, Shigeru Yamaguchi University Japan University of Delhi India Amity University India Tottori University Japan

ISBN: (纸本)9798350394191

this paper focuses on the reliability of open source software (OSS). In particular, the proposed method is based on the deep learning by using the fault big data obtained from the bug tracking system. the immune system of human body takes on the role of the protection for the pathogenic microorganisms. Recently, the source code and complexity of OSS system become large year by year. then, we assume that the OSS fault removal system is similar to the pathogenic microorganisms. We propose the OSS fault removal system based on deep learning inspired by immune system in this paper. © 2024 ieee.

关键词： deep learning fault big data immune system open source software

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Methodology for Extracting Regional Characteristics from a Tourism Perspective 9

Methodology for Extracting Regional Characteristics from a T...

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9th ieee/acis international conference on big data, cloud computing, and data science, bcd 2024

作者： Tsukamoto, Hiroaki Iwashita, Motoi Graduate School of Social Systems Science Chiba Institute of Technology Chiba Japan

ISBN: (纸本)9798350394191

Businesses that had been in decline due to the coronavirus are regaining momentum. Tourism is one such business that is expected to see an increase in domestic as well as international travelers. To attract more of these travelers, we need to rethink regional revitalization centered on tourism. In general, travelers' satisfaction with the destinations they visit varies from region to region, and therefore, measures that emphasize regional characteristics are likely to be effective. To this end, a framework and methodology is needed to examine what each region should emphasize. the purpose of this research is to develop the tourism industry, which is one of the local revitalization measures. this study proposes a method that uses a graphical modeling technique to identify factors that increase tourists' satisfaction with the target area and provides a framework for what municipalities and residents should focus on. the feasibility of this method was also confirmed by applying it to specific regions in Japan. © 2024 ieee.

关键词： Leisure

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data Analysis of Interest Continuation Factors for Creating Core Fans in Anime Production Projects 9

Data Analysis of Interest Continuation Factors for Creating ...

引用

9th ieee/acis international conference on big data, cloud computing, and data science, bcd 2024

作者： Kikuchi, Tota Takuma, Hironori Chiba Institute of Technology Department of project Management Ibaraki Japan Chiba Institute of Technology Department of Digital Transformation Chiba Japan

ISBN: (纸本)9798350394191

In this study, we investigated the factors contributing to the sustained interest of core fans to foster investment in crowdfunding for anime production. A survey of 72 anime fans revealed that among those with low interest in crowdfunding, the quality of storytelling and composition, the quality of animation and video, and official events significantly influenced their continued interest. For those with high interest in crowdfunding, in addition to these factors, the exchange of opinions and information with others also had a strong influence on their sustained interest. Based on these findings, we proposed strategies for creating core fans in the anime fan community, including organizing official events as crowdfunding rewards, emphasizing the quality of the work, promoting the project's development, and providing opportunities for fans to share their opinions and information with others. © 2024 ieee.

关键词： Animation

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Enhancing and Validating Simulator data Generation Integrity through Frequency-Based Analysis 9

Enhancing and Validating Simulator Data Generation Integrity...

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9th ieee/acis international conference on big data, cloud computing, and data science, bcd 2024

作者： Sharifirad, Iman Boudjadar, Jalil Larsen, Peter Gorm Aarhus University Department of Electrical and Computer Engineering Denmark

ISBN: (纸本)9798350394191

data seamlessly becomes a critical component for the state estimation and performance optimization of Cyber-Physical Systems (CPSs). Ensuring timely access to CPS data could be challenging due to operation costs, limited accessibility, security and connectivity, etc. CPS simulators have been thoroughly used in industry to synthesize CPS data. However, a common drawback for CPS simulators is the low integrity and fidelity of the synthesized data to the actual system. In this paper, we propose an extension, calibration, and validation to enhance the data synthesis integrity of an industrial CPS simulator. Behavior patterns are inferred from actual data, using frequency analysis, and applied to the simulation data synthesis, where a calibration using cross-correlation is utilized to fine-tune the data synthesis. According to the analysis results, our enhanced simulation data synthesis demonstrates a correlation of 93.7% to the actual CPS data. © 2024 ieee.

关键词： Operating costs

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