Designing User Interfaces With a Data Science Approach (Advances in Systems Analysis, Software Engineering, and High Performance Computing)
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Data science has been playing a vital role in almost all major fields. Many researchers are interested in the development of IT applications, which are user-driven with a focus on issues. This can be addressed using data science. User-driven research and data science have gained much attention from many private, public, and government organizations and research institutions. Designing User Interfaces With a Data Science Approach promotes the inclusion of more diversified users for user-centered designs of applications across domains and analyzes user data with a data science approach for effective and user-friendly user interface designs. It introduces the foundations of advanced topics of human-computer interaction, particularly with user-centered designs and techniques. Covering topics such as artificial neural networks, natural dialog systems, and machine learning, this book is an essential resource for faculty, research scholars, industry professionals, students of higher education, mathematicians, data scientists, interaction designers, visual designers, software engineers, user experience researchers, accessibility engineers, cognitive system engineers, academicians, and libraries. Title Page Copyright Page Book Series Dedication Editorial Advisory Board Table of Contents Detailed Table of Contents Foreword Preface Acknowledgment Section 1: Human-Computer Interaction and Applications Chapter 1: Video Call-Based Real-Time Crime Reporting System Chapter 2: Building 3D and XR City Systems on Multi-Platform Devices Chapter 3: Personalization in Adaptive E-Learning Chapter 4: Contextual Inquiry of Food Ordering Apps Chapter 5: Removing the Screen Chapter 6: Significance of Software Engineering Phases in the Development of a Software Application Section 2: Human-Computer Interaction and Data Science Chapter 7: Disease Prediction System Using Image Processing and Machine Learning in COVID-19 Chapter 8: Grouping Public Complaints in the City of Tangerang Using K-Means Clustering Method Chapter 9: Performance Measurement of Natural Dialog System by Analyzing the Conversation Chapter 10: Social Network Mining, Analysis, and Research Trends Chapter 11: User Interface Design With Data Visualization Technique Chapter 12: Integrating Multiple Techniques to Enhance Medical Data Classification Chapter 13: Fetal ECG Extraction Compilation of References About the Contributors Index
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