Proceedings of the 6th International Conference on Information System and Data Mining最新文献

Clustering Faster and Better with Projected Data 使用投影数据更快更好地聚类

Proceedings of the 6th International Conference on Information System and Data Mining Pub Date : 2022-05-27 DOI: 10.1145/3546157.3546158

Alibek Zhakubayev, Greg Hamerly

引用次数: 0

Kaiser-Meyer-Olkin Factor Analysis: A Quantitative Approach on Mobile Gaming Addiction using Random Forest Classifier Kaiser-Meyer-Olkin因子分析:基于随机森林分类器的手机游戏成瘾定量分析方法

Proceedings of the 6th International Conference on Information System and Data Mining Pub Date : 2022-05-27 DOI: 10.1145/3546157.3546161

Jefferson A. Costales, J. J. J. Catulay, Jeffrey Costales, Noel Bermudez

{"title":"Kaiser-Meyer-Olkin Factor Analysis: A Quantitative Approach on Mobile Gaming Addiction using Random Forest Classifier","authors":"Jefferson A. Costales, J. J. J. Catulay, Jeffrey Costales, Noel Bermudez","doi":"10.1145/3546157.3546161","DOIUrl":"https://doi.org/10.1145/3546157.3546161","url":null,"abstract":"Technology allows us to progress and innovate in today's world, which advances at a faster pace. We innovate from traditional to digital life with the use of technology. There have been several technological advances, such as Mobile Gaming, that have occurred as a result of the evolution of technology. Gaming is a recreational pastime that has become available through technology in the form of apps for mobile devices. Technology is beneficial, but it also has a negative side effect: addiction. The goal of the study is to see if there is any link between a student's time spent playing mobile games and their social interactions. The study also attempts to discover different features that are important in mobile gaming addiction since they can be used to detect early signs of addiction. For the feature of importance, the researchers applied Random Forest Classifier. To ensure that the data is adequate, the study will employ factor analysis and Kaiser-Meyer-Olkin. This information can be utilized to improve the future study. The researchers gathered and used data from 513 college students from several Philippine universities.","PeriodicalId":422215,"journal":{"name":"Proceedings of the 6th International Conference on Information System and Data Mining","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131995396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Towards Simplifying and Formalizing UML Class Diagram Generalization/Specialization Relationship with Mathematical Set Theory 用数学集合论简化和形式化UML类图泛化/专门化关系

Proceedings of the 6th International Conference on Information System and Data Mining Pub Date : 2022-05-27 DOI: 10.1145/3546157.3546171

Kruti Shah, Emanuel S. Grant

{"title":"Towards Simplifying and Formalizing UML Class Diagram Generalization/Specialization Relationship with Mathematical Set Theory","authors":"Kruti Shah, Emanuel S. Grant","doi":"10.1145/3546157.3546171","DOIUrl":"https://doi.org/10.1145/3546157.3546171","url":null,"abstract":"The Unified Modeling Language (UML) is considered the de facto standard for object-oriented software model development. This makes it appropriate to be used in academia courses at both the graduate and undergraduate levels of education. Some challenges to using the UML is academia are its large number of model concepts and the imprecise semantic of some of these concepts. These challenges are daunting for students who are being introduced to the UML. One approach that can be taken in teaching UML towards addressing these concerns is to limit the number of UML concepts taught and recognize that students may not be able to develop correct UML system models. This approach leads to research work that develop a limited set of UML model concepts that are fewer in number and have more precise semantics. In this paper, we present a new approach to resolve an aspect of this problem by simplifying the generalization/specialization semantics of the class diagram through the application of mathematical formality to usage of these class diagram concepts. This research work derives a core set of concepts suitable for graduate and undergraduate comprehension of UML modeling and defines more precise semantics for those modeling concepts. The applicable mathematical principles applied in this work are from the domains of set theory and predicate logic. This approach is particularly relevant for the pedagogy of software engineering and the development of software systems that require a high level of reliability.","PeriodicalId":422215,"journal":{"name":"Proceedings of the 6th International Conference on Information System and Data Mining","volume":"94 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114040708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Examining User Acceptance and Adoption of the Internet of Things in Indonesia 考察印尼用户对物联网的接受程度和采用情况

Proceedings of the 6th International Conference on Information System and Data Mining Pub Date : 2022-05-27 DOI: 10.1145/3546157.3546176

Meiryani Meiryani, Cindy Cornelia, Satami Doi Kikkawa, H. Ulinnuha, Lidiyawati Lidiyawati

引用次数: 4

Engaging Undergraduate Students in an Introductory A.I. Course through a Knowledge-Based Chatbot Workshop 通过基于知识的聊天机器人研讨会吸引本科生参加人工智能入门课程

Proceedings of the 6th International Conference on Information System and Data Mining Pub Date : 2022-05-27 DOI: 10.1145/3546157.3546175

T. Menkhoff, Ying Qian Lydia Teo

{"title":"Engaging Undergraduate Students in an Introductory A.I. Course through a Knowledge-Based Chatbot Workshop","authors":"T. Menkhoff, Ying Qian Lydia Teo","doi":"10.1145/3546157.3546175","DOIUrl":"https://doi.org/10.1145/3546157.3546175","url":null,"abstract":"In this paper we share interim results of an ongoing mixed method evaluative study of 43 students enrolled in an elective course “Doing Business with A.I.” at the Lee Kong Chian School of Business (LKCSB), Singapore Management University. A key component of the course design is an experiential chatbot workshop that provides non-STEM students with an opportunity to acquire basic skills to build a chatbot prototype using the ‘Dialogflow’ program. The workshop and the experiential learning activity were designed to impart students with relevant knowledge and skills such as conversation and user-centric design know how and know why that are transferrable to other situational contexts beyond the course. Based on ongoing class surveys and qualitative interviews with students, we are trying to corroborate a conceptual model developed from learning theories and models related to technology mediated learning (TML) aimed at measuring the effects of a hands-on knowledge-based chatbot workshop designed by the authors on students’ engagement and motivation as drivers of acquiring AI-related competencies such as natural language processing skills (NLP). One important didactical aspect during the design and roll-out of the chatbot workshop is that novice learners with no or very little knowledge about A.I. recognize and create the important linkage between knowledge inputs and outputs of NLP-powered conversational agents (chatbots) so that user queries are effectively addressed. The knowledge-based chatbot workshop design as described in the paper provides useful practical information for instructors interested in designing educational chatbot prototypes for effective digital teaching and learning in a business school (higher education) context that can be transferred to other organizational units beyond the university (e.g. quality customer service) in order to make learners future-ready.","PeriodicalId":422215,"journal":{"name":"Proceedings of the 6th International Conference on Information System and Data Mining","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116439659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Recipe Recommendation Method by Similarity Measure with Food Image Recognition 基于食物图像识别的相似度度量的食谱推荐方法

Proceedings of the 6th International Conference on Information System and Data Mining Pub Date : 2022-05-27 DOI: 10.1145/3546157.3546170

Shota Tamaru, Hyuga Taki, Rune Usuki, T. Nakanishi

引用次数: 0

A Framework for Exploring Computational Models of Novelty in Unstructured Text 探索非结构化文本新颖性计算模型的框架

Proceedings of the 6th International Conference on Information System and Data Mining Pub Date : 2022-05-27 DOI: 10.1145/3546157.3546164

M. Mohseni, M. Maher

引用次数: 0

A Visualized Knowledge Map of Enterprise Social Capital in the Context of Incubation Networks 孵化网络背景下企业社会资本的可视化知识图谱

Proceedings of the 6th International Conference on Information System and Data Mining Pub Date : 2022-05-27 DOI: 10.1145/3546157.3546174

Ke Ding, Hongxia Li

{"title":"A Visualized Knowledge Map of Enterprise Social Capital in the Context of Incubation Networks","authors":"Ke Ding, Hongxia Li","doi":"10.1145/3546157.3546174","DOIUrl":"https://doi.org/10.1145/3546157.3546174","url":null,"abstract":"Purpose – This study aims to provide a systematic knowledge map for researchers who work in the field of enterprise social capital. Additionally, the aim is to help them quickly understand the trending research topics, hot spots and evolutionary trends from the context of incubation networks. Design/methodology/approach – The authors searched for 874 articles on corporate social capital from the Web of Science database source journals from 1986 to 2021. Then, CITESPACE and VOSviewer software are used to extract the fields of the literature and perform data visualization. Findings – The results show that the number of corporate social capital research papers under the incubation network increases year by year. At present, the research hotspots include social capital, corporate social responsibility, corporate performance, innovation, corporate management and governance, network and strategy. Research will be paid more attention to corporate social responsibility, social capital promotion of new enterprises under incubator network, and social capital accumulation of family enterprises. Incubation network provides an integrated platform for new enterprises to obtain external social capital, and strengthens the social capital of enterprises through cooperative relations. Originality/value – This paper adopts bibliometrics method to mine data and draws knowledge map to systematically reveal research progress and trend.","PeriodicalId":422215,"journal":{"name":"Proceedings of the 6th International Conference on Information System and Data Mining","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125379664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Customer Lifetime Value Analysis Based on Machine Learning 基于机器学习的客户终身价值分析

Proceedings of the 6th International Conference on Information System and Data Mining Pub Date : 2022-05-27 DOI: 10.1145/3546157.3546160

Xinqian Dai

引用次数: 0

Traffic Sign Recognition Based on Deep Learning Technique 基于深度学习技术的交通标志识别

Proceedings of the 6th International Conference on Information System and Data Mining Pub Date : 2022-05-27 DOI: 10.1145/3546157.3546167

Yihan Lai

引用次数: 0