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B01=Kashfia Sailunaz
B01=Mehmet Kaya
B01=Min-Yuh Day
B01=Sleiman Alhajj
Category1=Non-Fiction
Category=JFD
Category=MBG
Category=UB
Category=UYQM
COP=Switzerland
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
softlaunch

Social Network Analysis and Mining Applications in Healthcare and Anomaly Detection

English

This book is an excellent source of knowledge for readers interested in the latest developments in social network analysis and mining, particularly with applications in healthcare and anomaly detection. It covers topics such as sensitivity to noise in features, enhancing fraud detection in financial systems, measuring the echo-chamber phenomenon, detecting comorbidity, and evaluating the effectiveness of mitigative and preventative actions on viral spread in small communities using agent-based stochastic simulations. Additionally, it discusses predicting behavior, measuring and identifying influence, analyzing the impact of COVID-19 on various social aspects, and using UNet for handling various skin conditions.

This book helps readers develop their own perspectives on adapting social network concepts to various applications. It also demonstrates how to use various machine learning techniques for tackling challenges in social network analysis and mining.

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Current price €119.69
Original price €132.99
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Age Group_Uncategorizedautomatic-updateB01=Kashfia SailunazB01=Mehmet KayaB01=Min-Yuh DayB01=Sleiman AlhajjCategory1=Non-FictionCategory=JFDCategory=MBGCategory=UBCategory=UYQMCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 07 Jan 2025

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 07 Jan 2025
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031752032

About

Mehmet Kaya received the Ph.D. degree from Firat University in 2003. During 2002 and 2003 he was a Visiting Scholar with the ADSA Laboratory Department of Computer Science University of Calgary Canada. He is currently a Professor in the Department of Computer Engineering Firat University. He has published over 100 papers in refereed international journals and conferences. His research interests include data mining machine learning natural language processing and deep learning. Sleiman Alhajj is currently at the International School of Medicine at Istanbul Medipol University Istanbul Turkey. He is a member of the medical data management and analysis group. He served as program chair of HI-BI-Bi 2023. His research interests include cancer infectious diseases network analysis and medical image analysis. Kashfia Sailunaz completed her MSc and PhD in Computer Science at the University of Calgary Alberta Canada. She is currently a research associate at the University of Calgary Alberta Canada. Her research interests include machine learning social media analysis and medical image analysis. Dr. Min-Yuh Day is a Professor in the Graduate Institute of Information Management at National Taipei University Taiwan. Prior to joining the faculty at NTPU in 2020 he was an Associate Professor in the Department of Information Management at Tamkang University Taiwan. He was a Postdoctoral Fellow in the Intelligent Agent Systems Lab Institute of Information Science Academia Sinica Taiwan. He received the Ph.D. degree from the Department of Information Management at National Taiwan University Taiwan. He received his MBA in Management Information System from Tamkang University Taiwan. His current research interests include electronic commerce financial technology artificial intelligence big data analytics data mining and text mining social media marketing information systems evaluation question answering systems and biomedical informatics.

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