Computational Intelligence for Network Structure Analytics
暫譯: 網路結構分析的計算智慧

Gong, Maoguo, Cai, Qing, Ma, Lijia

Computational Intelligence for Network Structure Analytics
  • 出版商: Springer
  • 出版日期: 2018-12-12
  • 售價: $4,620
  • 貴賓價: 9.5 折 $4,389
  • 語言: 英文
  • 頁數: 283
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9811351678
  • ISBN-13: 9789811351679

    • 海外代購書籍(需單獨結帳)

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商品描述

This book presents the latest research advances in complex network structure analytics based on computational intelligence (CI) approaches, particularly evolutionary optimization. Most if not all network issues are actually optimization problems, which are mostly NP-hard and challenge conventional optimization techniques. To effectively and efficiently solve these hard optimization problems, CI based network structure analytics offer significant advantages over conventional network analytics techniques. Meanwhile, using CI techniques may facilitate smart decision making by providing multiple options to choose from, while conventional methods can only offer a decision maker a single suggestion. In addition, CI based network structure analytics can greatly facilitate network modeling and analysis. And employing CI techniques to resolve network issues is likely to inspire other fields of study such as recommender systems, system biology, etc., which will in turn expand CI's scope and applications.
As a comprehensive text, the book covers a range of key topics, including network community discovery, evolutionary optimization, network structure balance analytics, network robustness analytics, community-based personalized recommendation, influence maximization, and biological network alignment.
Offering a rich blend of theory and practice, the book is suitable for students, researchers and practitioners interested in network analytics and computational intelligence, both as a textbook and as a reference work.

商品描述(中文翻譯)

本書介紹了基於計算智慧（Computational Intelligence, CI）方法，特別是進化優化的複雜網路結構分析的最新研究進展。大多數網路問題實際上都是優化問題，這些問題大多是 NP-hard，對傳統的優化技術構成挑戰。為了有效且高效地解決這些困難的優化問題，基於 CI 的網路結構分析相較於傳統的網路分析技術提供了顯著的優勢。同時，使用 CI 技術可以通過提供多種選擇來促進智能決策，而傳統方法僅能為決策者提供單一建議。此外，基於 CI 的網路結構分析可以大大促進網路建模和分析。運用 CI 技術來解決網路問題可能會啟發其他研究領域，如推薦系統、生物系統等，這將進一步擴展 CI 的範疇和應用。

作為一本綜合性的教材，本書涵蓋了一系列關鍵主題，包括網路社群發現、進化優化、網路結構平衡分析、網路穩健性分析、基於社群的個性化推薦、影響力最大化以及生物網路對齊。

本書理論與實踐相結合，適合對網路分析和計算智慧感興趣的學生、研究人員和從業者，既可作為教科書，也可作為參考書籍。

作者簡介

Dr. Maoguo Gong received his B. Eng degree and Ph.D. degrees from Xidian University. Since 2006, he has been teaching at Xidian University. He was promoted to associate professor and full professor in 2008 and 2010, respectively. Dr. Gong's research interests are broadly in the area of computational intelligence, with applications to optimization, learning, data mining and image understanding. He has published over one hundred papers in journals and conferences, and holds fifteen patents as the first inventor. He is currently leading or has completed over ten projects as Principal Investigator, funded by the National Natural Science Foundation of China, the National High Technology Research and Development Program (863 Program) of China and others. He has been distinguished with the prestigious National Program Award for Support of Top-notch Young Professionals (selected by the Central Organization Department of China), the Excellent Young Scientist Foundation Award (selected by the National Natural Science Foundation of China), the New Century Excellent Talent in University Award (selected by the Ministry of Education of China), the Fok Ying Tung Education Foundation Young Teacher Award, the Shaanxi Province Young Scientist Award, the Shaanxi Province New Scientific and Technological Star Award, the Elsevier SCOPUS Young Researcher Award of China, and the National Natural Science Award of China. He is the Executive Committee Member of Chinese Association for Artificial Intelligence, Senior Member of IEEE and Chinese Computer Federation, Associate Editor or Editorial Board Member for five journals including IEEE Transactions on Evolutionary Computation and Memetic Computing.

Dr. Qing Cai received his B. Eng. degree in electronic information engineering from Wuhan Textile University, Wuhan, China, in 2010. Since then he was pursuing the Ph.D. degree in Pattern Recognition and Intelligent Systems at the School of Electronic Engineering, Xidian University, Xi'an, China and received his Ph.D. degree in 2015. Now he is working as a Postdoctoral Research Fellow in Hong Kong Baptist University, Hong Kong. Dr. Cai's research interests are in the area of computational intelligence, complex network analytics, recommender systems and population ecology.

Dr. Lijia Ma received his B.S. degree in communication engineering from Hunan Normal University, Changsha, China, in 2010. After that, he began to work towards his doctor degree as a 5-Year Master-Ph.D Graduate Program student in Xidian University, and received his Ph.D. degree in 2015. Now, he is working as a Post-doctoral Research Fellow in Hong Kong Baptist University, Hong Kong. His research interests include computational intelligence, network pattern mining and behavior optimization, biological network analysis and cloud computing. Until now, he has published 20 journal and conference papers. He was awarded ``Outstanding Graduate of Hunan Normal University''. Moreover, he was received ``the National Scholarship for Distinguished Doctorates'' in both 2013 and 2014. In addition, he was funded by ``Nature Inspired Computation and its Application (NiCai) project'' of the European Group from December 2014 to April 2015.

Shanfeng Wang received the B.Eng. degree in Electronic and Information Engineering from Xidian University, Xi'an, China, in 2012. Now he is working towards the Ph.D. degree in Pattern Recognition and Intelligent Systems at the School of Electronic Engineering, Xidian University, Xi'an, China. His current research interests are in the area of evolutionary algorithm, complex network structure analytics and recommender systems.

Dr. Yu Lei received the B.S. degree in electronic and information engineering and the Ph.D. degree in pattern recognition and intelligent systems from Xidian University, Xi'an, China, in 2009 and 2015, respectively. He is currently a Lecturer in Northwestern Polytechnical University. His current research interests include computational intelligence, complex network analytic and multi-objective optimization.


作者簡介(中文翻譯)

龔毛國博士於西電大學獲得工程學士及博士學位。自2006年以來，他一直在西電大學任教。2008年和2010年，他分別晉升為副教授和正教授。龔博士的研究興趣廣泛涵蓋計算智能領域，應用於優化、學習、數據挖掘和圖像理解。他在期刊和會議上發表了超過一百篇論文，並作為第一發明人擁有十五項專利。目前，他作為主要研究者正在領導或已完成十多個項目，這些項目由中國國家自然科學基金、中國國家高技術研究發展計劃（863計劃）等資助。他曾獲得多項榮譽，包括中國中央組織部選拔的國家高層次人才支持計劃獎、國家自然科學基金優秀青年科學基金獎、中國教育部新世紀優秀人才獎、霍英東教育基金會青年教師獎、陝西省青年科學家獎、陝西省新科學技術之星獎、Elsevier SCOPUS中國青年研究者獎及中國國家自然科學獎。他是中國人工智能學會執行委員會成員，IEEE及中國計算機學會的資深會員，並擔任包括《IEEE進化計算學報》和《模擬計算》在內的五本期刊的副編輯或編輯委員會成員。

蔡青博士於2010年在中國武漢纖維大學獲得電子信息工程學士學位。此後，他在西電大學電子工程學院攻讀模式識別與智能系統的博士學位，並於2015年獲得博士學位。目前，他在香港浸會大學擔任博士後研究員。蔡博士的研究興趣包括計算智能、複雜網絡分析、推薦系統和種群生態學。

馬立佳博士於2010年在中國湖南師範大學獲得通信工程學士學位。之後，他作為五年制碩士-博士研究生在西電大學攻讀博士學位，並於2015年獲得博士學位。目前，他在香港浸會大學擔任博士後研究員。他的研究興趣包括計算智能、網絡模式挖掘和行為優化、生物網絡分析及雲計算。至今，他已發表20篇期刊和會議論文。他曾獲得“湖南師範大學優秀畢業生”稱號。此外，他在2013年和2014年獲得“國家優秀博士生獎學金”。另外，他於2014年12月至2015年4月期間獲得歐洲團體的“自然啟發計算及其應用（NiCai項目）”資助。

王山峰於2012年在中國西電大學獲得電子與信息工程學士學位。目前，他在西電大學電子工程學院攻讀模式識別與智能系統的博士學位。他目前的研究興趣包括進化算法、複雜網絡結構分析和推薦系統。

雷宇博士於2009年和2015年在中國西電大學分別獲得電子與信息工程學士學位及模式識別與智能系統博士學位。目前，他是西北工業大學的講師。他目前的研究興趣包括計算智能、複雜網絡分析和多目標優化。

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