相關主題
商品描述
This book offers an excellent source of knowledge for readers who are interested in keeping up with the developments in the field of cyber security and social media analysis. It covers the possibility of using augmented reality to monitor cyber security feeds in a multitasking environment. It describes a real-time scheduled security scanner. E-commerce concept labeling is tackled by introducing a lightweight global taxonomy induction system. Blogsphere analytics and online video narratives and networks are explored. The effect of global and local network structure, credibility based prevention of fake news dissemination, and detection of trending topics and influence from social media are investigated.
This book helps the reader in developing their own perspective about how to deal with cyber security and how to benefit from the development in technology to tackle cyber security issues. The reader of this book will realize how to use various machine learning techniques for tackling various applications involving social medial analysis.
作者簡介
Sibel Tarıyan Özyer is Assistant Professor of Computer Engineering at Ankara Medipol University, Ankara, Turkey. Previously, she was assistant professor at the Computer Engineering Department of Cankaya University, Turkey. She has been the Program Chair of HIBIBI 2022, which is co-located with ASONAM conference in 2022. Research interests are network analysis, data mining, machine learning, bioinformatics, computer networks, and computer vision.
Buket Kaya received her BSc, MSc and PhD degrees in Electrical-Electronics Engineering from Firat University, Turkey, in 2007, 2010 and 2015, respectively. Currently, she is Associate Professor in the Department of Electronics and Automation, Firat University. Her primary work and research interests are in the areas of data mining, social network analysis, machine learning and deep learning.
作者簡介(中文翻譯)
Sibel Tarıyan Özyer 是土耳其安卡拉醫科大學計算機工程系的助理教授。她曾擔任土耳其昌卡亞大學計算機工程系的助理教授。她是 HIBIBI 2022 的程式主席，該會議與 2022 年的 ASONAM 會議同時舉行。她的研究興趣包括網路分析、資料探勘、機器學習、生物資訊學、計算機網路和計算機視覺。
Buket Kaya 於 2007、2010 和 2015 年分別在土耳其菲拉特大學獲得電氣電子工程的學士、碩士和博士學位。目前，她是菲拉特大學電子與自動化系的副教授。她的主要工作和研究興趣集中在資料探勘、社交網路分析、機器學習和深度學習等領域。
