淡江大學人工智慧學系

年度	書名
2024	Tzu-Chia Chen, Text Mining Techniques and Natural Language Processing, Text mining is an important branch of data mining that is used to analyze the text data. Text data is any type of data like structured data, unstructured data, and semi-structured data. All types of data are collected from different sources such as multimedia applications, mobile apps, digital systems, etc. These data are beneficial to get a good insight, meaningful results. We use data mining techniques like Support Vector Machine (SVM), Random Forest (RF), Multilayer Perception (MLP), Naive Bayes (NB), etc. to analyze the hidden relationship between data. We use three kinds of data types in text mining., John Wiley & Sons
2023	Chen, Tzu-chia, Towards Applicability of Machine Learning in Business Analytics for Sales Prediction, In the field of data processing and analytics, machine learning has emerged as a topic of significant interest in the recent years. When it comes to decision-making, less structured retailers rely on their gut feeling, whereas more structured retailers make use of business intelligence. Predicting future retail sales is a common practise in the industry of organised retail, where it is tremendously helpful for making timely and strategic decisions in the face of intense competition. Predictions about future sales are often arrived at by doing an analysis of previous data, making use of a variety of statistical and mathematical methodologies, etc. This study is an endeavour to communicate with retail business owners, managers, and policymakers the accuracy of data derived from retail sales forecasting using machine learning algorithms. In this study, we apply the machine learning techniques known as Artificial Neural Network and Random Forest to a dataset that is often used for training purposes., CRC Press
2023	Chen, Tzu-chia, Optimized Support Vector Machine for Early and Accurate Heart Disease Detection, Many academics use data mining to predict diseases. Some approaches can predict one sickness, while others can predict several. Sickness prediction may be improved. This article provides an overview of the numerous data categorization methods available today. Algorithms represent most commonly. Classifying data involves a lot of computation. To create a disease-fighting plan that works, enormous amounts of data must be analysed. Early diagnosis, severity assessment, and prognosis are frequent. Doing so may postpone disease development, improve quality of life, and lower medical costs. This approach uses machine learning. This article classifies and predicts cardiovascular disease data using machine learning. SVM, ANN, and RF classify heart disease data. Accuracy-wise, SVM is better for heart disease classification and detection., CRC Press
2023	曾秋桂, 台湾日語教育学報 41, , 台湾日語教育學會
2023	曾秋桂, AI技術で切り拓く日本語教育・文学研究のエポックメーキングな可能性, 本書分成兩大部分，闡述如何善用AI技術來開拓劃時代日語教育與日本文學的劃時代可能性。第一部分主要是分成4個章節，收錄探究人工智慧(AI)與數位轉型(DX)的時代背景下，台灣的日語教育甚至全世界的日語教育要如何銳變、轉型而撰寫成的論文，。第1章為嘗試導入元宇宙的可能性。2章為探索AI與DX的時代下的日語教育的前景。而第3章則後疫情時代中，面對AI與DX狂潮衝擊下更需重視HI(人類智慧)的價值。提醒若能AI與HI兩者兼備的話，將會所向無敵。第4章則當外語學習昇華至極致境界時，將會面臨到異文化溝通的難題，如何先善用AI技術來充實預備知識後，在實體面對異文化溝通，正是本章的重點。而第二部分主要是分成4個章節，以日本知名作家村上春樹以及多和田葉子的知名文本為考察對象。第1章是以被知名導演濱口龍介將村上春樹小說《沒有女人的男人們》(2014、文藝春秋，收錄包含《在車上》，拍攝成電影《在車上》(2021、文化便利俱樂部)，而獲得電影獎項四冠王的榮耀。藉此來分析原作與電影間的異同。並輔以AI技術解析為參酌。第2章則以多和田葉子近期三部品的最後一部『太陽諸島』結合世界潮流SDGs視點而論。第3章則關注因疫情而疏離的人際關係來論述村上知名的村上春樹《1Q84》(2009-2010)。第4章以榮獲諾貝爾文學獎的首位日本人川端康成作品與村上春樹的最新長篇小說《城市與其不確定的牆》(2023)對照比較研究。如此地透過第一部與二部的論述與實踐的結果，欲證明AI與人文關懷的劃時代價值。, 瑞蘭國際出版
2023	Chen, Tzu-chia, Conversational Artificial Intelligence-Ch29, In this day and age of smartphones and computers, the prevalence of mobile applications has skyrocketed. They have numerous applications, including but not limited to communication, social media, news, messaging, shopping, making payments, watching videos and transmissions, and engaging in online gaming. When it comes to mobile devices, Android is presently the operating system with the most users worldwide. The Android platform has emerged as the most popular mobile operating system, with an increasing number of applications developed especially for Android mobile devices. Simultaneously, there has been a rise in the number of incidents. Attackers exploit vulnerable areas in mobile apps to introduce potentially malicious code into the system and steal confidential data. When creating an app for a mobile device, it is critical to prioritize the security and protection of users’ data. Only by thoroughly understanding the various vulnerabilities that could be introduced into their code can mobile app developers successfully fight potential security threats. This manuscript provides an in-depth study of vulnerability assessment and penetration testing in mobile applications. This manuscript also presents a mitigation plan for encountering vulnerabilities in mobile applications. A security framework is also proposed to enhance the security of mobile applications., John Wiley & Sons, Inc.
2023	Chen, Tzu-chia, Conversational Artificial Intelligence-Ch20, An intrusion detection system, often known as IDS, is primarily used to gather and analyze data regarding security events that occur in computer systems and networks. Its subsequent purpose is to either prevent these events from happening or notify them to the administrator of the system. As a result of the increasing number of attacks carried out by attackers, the users’ level of mistrust on the Internet has increased. Attacks that cause denial of service are a major violation of security. This article presents a particle swarm optimization and AdaBoost-based intrusion detection system. In this system, chatbot receives network traffic as input, and features of input dataset are selected using particle swarm optimization algorithm. A classification model is trained and tested. AdaBoost, KNN, and naïve Bayes algorithm are used to classify and detect malware-related records. NSL KDD dataset is used in the experimental work. PSO-AdaBoost achieves the highest accuracy, precision, and recall for intrusion detection and classification. The output of a chatbot is a language that is either normal or benign., John Wiley & Sons, Inc.
2022	曾秋桂, 多和田葉子氣宇非凡展現越境作家洗鍊風格, , 聯經出版
2022	曾秋桂, 越境多和田葉子的全球化多元書寫, , 聯經出版
2022	主編曾秋桂, 『台湾日語教育学報』第40号, , 台湾日語教育学会

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