Graph Mining: Practical Uses and Instruments for Exploring Complex Networks
暫譯: 圖形挖掘：探索複雜網絡的實用用途與工具
Bhattacharya, Riju, Rathore, Yogesh Kumar, Tran, Tien Anh
- 出版商: Springer
- 出版日期: 2025-08-01
- 售價: $1,680
- 貴賓價: 9.5 折 $1,596
- 語言: 英文
- 頁數: 132
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031938011
- ISBN-13: 9783031938016
-
相關分類:
Data Science、Machine Learning
海外代購書籍(需單獨結帳)
相關主題
商品描述
This book provides a thorough introduction to graph mining and addresses foundational concepts and advanced techniques along with practical applications across various fields. As graphs have become increasingly vital for data representation in domains such as social network analysis, bioinformatics, and transportation, there is a growing demand for a comprehensive source that covers both theory and practical insights. This book seeks to fill that gap by offering clear explanations, practical examples, and actionable insights, making complex graph mining techniques accessible to students, postgraduate readers, and researchers. The authors also provide an extensive investigation into the process of gaining insightful knowledge from graph representations, ranging from interpreting intricate relationships to decoding complex data structures. Readers will learn to identify anomalous patterns, locate communities, arrange nodes, predict connections, and evaluate graphs effectively.
商品描述(中文翻譯)
本書提供了圖形挖掘的全面介紹，涵蓋了基礎概念和進階技術，以及在各個領域的實際應用。隨著圖形在社交網絡分析、生物資訊學和交通運輸等領域中越來越重要，對於一個涵蓋理論和實踐見解的綜合資源的需求也在增長。本書旨在填補這一空白，通過提供清晰的解釋、實用的範例和可行的見解，使複雜的圖形挖掘技術對學生、研究生讀者和研究人員變得易於理解。作者還對從圖形表示中獲取有洞察力的知識的過程進行了廣泛的研究，涵蓋了從解釋複雜關係到解碼複雜數據結構的各個方面。讀者將學會識別異常模式、定位社群、排列節點、預測連接以及有效評估圖形。
作者簡介
Riju Bhattacharya, Ph.D., is an Assistant Professor in the Department of Computer Science and Engineering at GITAM Deemed to be University in India. He completed his Ph.D. at the National Institute of Technology, Raipur. Previously he worked as an associate professor and head of the Department of Information Technology at Shri Shankaracharya Institute of Professional Management and Technology, Raipur affiliated to CSVTU, Bhilai. Dr. Bhattacharya's research interests include social network analysis, graph mining, link prediction, and data science and is involved in many community initiatives in the areas of machine learning, deep learning, and data science.
Yogesh Kumar Rathore, Ph.D., is an Assistant Professor in the Department of Computer Science and Engineering at Shri Shankaracharya Institute of Professional Management and Technology in Raipur, India. He completed his Ph.D. in Information Technology from the National Institute of Technology, Raipur. Before that, he completed his M. Tech. from Chhattisgarh Swami Vivekanand Technical University and his B. Eng. from Pt. Ravishankar Shukla University. He has published two edited books, contributed chapters to internationally edited books, and authored a textbook on data mining. Dr. Rathore has also been involved in patenting with three Indian patents published and two USA-granted patents, showcasing his expertise in the field of computer science engineering.
Tien Anh Tran, Ph.D., is a Senior Researcher at Seoul National University, Seoul City, South Korea and an Assistant Professor in the Department of Marine Engineering at the Vietnam Maritime University in Haiphong, Vietnam. He is an Honorary Professor at the School of Computing Science and Engineering at Galgotias University, India and an Honorary Adjunct Professor in the School of Computer Science and Engineering at Lovely Professional University (LPU), India. He received his B. Eng. and M.Sc at Vietnam Maritime University and his Ph.D. at Wuhan University of Technology, Wuhan, China. He is an Editor/Guest Editor for the reputation journals indexed in SCI/SCIE was one of five outstanding scientists in Vietnam to be nominated for the Ta Quang Buu prize by the National Foundation for Science and Technology Development (NAFOSTED).
Suman Kumar Swarnkar, Ph.D., is an Assistant Professor in the Department of Computer Science and Engineering at Shri Shankaracharya Institute of Professional Management and Technology in Raipur, India. He received his Ph.D. (CSE) from Kalinga University, Nayaraipur and his M.Tech. (CSE) from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India. He has contributed to book chapters published by Elsevier and Springer and is a member of IEEE, IAENG, ASR, IFERP, ICSES, Internet Society, UACEE, IAOP, IAOIP, EAI, and CSTA. Dr. Swanrkar's research interests include intelligent data analysis, nature-inspired computing, machine learning, and soft computing.
作者簡介(中文翻譯)
Riju Bhattacharya 博士是印度 GITAM 大學計算機科學與工程系的助理教授。他在國立技術學院 Raipur 獲得博士學位。之前，他曾擔任 Shri Shankaracharya 專業管理與技術學院的副教授及資訊技術系主任，該學院隸屬於 CSVTU，Bhilai。Bhattacharya 博士的研究興趣包括社交網絡分析、圖形挖掘、鏈接預測和數據科學，並參與許多機器學習、深度學習和數據科學領域的社區倡議。
Yogesh Kumar Rathore 博士是印度 Raipur 的 Shri Shankaracharya 專業管理與技術學院計算機科學與工程系的助理教授。他在國立技術學院 Raipur 獲得資訊技術博士學位。在此之前，他在 Chhattisgarh Swami Vivekanand 技術大學獲得碩士學位，並在 Pt. Ravishankar Shukla 大學獲得工程學士學位。他出版了兩本編輯書籍，為國際編輯書籍貢獻了章節，並撰寫了一本關於數據挖掘的教科書。Rathore 博士還參與了專利申請，擁有三項已發表的印度專利和兩項美國授予的專利，展示了他在計算機科學工程領域的專業知識。
Tien Anh Tran 博士是韓國首爾國立大學的高級研究員，並在越南海防的越南海事大學擔任海洋工程系的助理教授。他是印度 Galgotias 大學計算科學與工程學院的名譽教授，以及印度 Lovely Professional University (LPU) 計算機科學與工程學院的名譽兼任教授。他在越南海事大學獲得工程學士和碩士學位，並在武漢理工大學獲得博士學位。他是多本被 SCI/SCIE 索引的知名期刊的編輯/客座編輯，並曾被越南國家科學技術發展基金會 (NAFOSTED) 提名為 Ta Quang Buu 獎的五位傑出科學家之一。
Suman Kumar Swarnkar 博士是印度 Raipur 的 Shri Shankaracharya 專業管理與技術學院計算機科學與工程系的助理教授。他在 Kalinga 大學獲得計算機科學博士學位，並在印度 Bhopal 的 Rajiv Gandhi Proudyogiki Vishwavidyalaya 獲得計算機科學碩士學位。他為 Elsevier 和 Springer 出版的書籍章節做出了貢獻，並且是 IEEE、IAENG、ASR、IFERP、ICSES、Internet Society、UACEE、IAOP、IAOIP、EAI 和 CSTA 的成員。Swarnkar 博士的研究興趣包括智能數據分析、自然啟發計算、機器學習和軟計算。
