Mining Complex Networks
暫譯: 複雜網絡挖掘
Kaminski, Bogumil, Pralat, Pawel, Theberge, Francois
- 出版商: CRC
- 出版日期: 2024-08-26
- 售價: $2,800
- 貴賓價: 9.5 折 $2,660
- 語言: 英文
- 頁數: 264
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032112050
- ISBN-13: 9781032112053
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商品描述
This book concentrates on mining networks, a subfield within data science. Mining complex networks to understand the principles governing the organization and the behaviour of such networks is crucial for a broad range of fields of study.
商品描述(中文翻譯)
本書專注於網絡挖掘,這是數據科學的一個子領域。挖掘複雜網絡以理解支配這些網絡組織和行為的原則,對於廣泛的研究領域至關重要。
作者簡介
Bogumil Kamiński is the Chairman of the Scientific Council for the Discipline of Economics and Finance at SGH Warsaw School of Economics. He is also an Adjunct Professor at the Data Science Laboratory at Ryerson University. Bogumil is an expert in applications of mathematical modelling to solving complex real-life problems. He is also a substantial open-source contributor to the development of the Julia language and its package ecosystem.
Pawel Pralat is a Professor of Mathematics at Ryerson University, whose main research interests are in random graph theory, especially in modelling and mining complex networks. He is the Director of Fields-CQAM Lab on Computational Methods in Industrial Mathematics at The Fields Institute for Research in Mathematical Sciences and has pursued collaborations with various industry partners as well as the Government of Canada. He has written over 170 papers and 3 books with 130 plus collaborators.
François Théberge holds a B.Sc. degree in applied mathematics from the University of Ottawa, a M.Sc. in telecommunications from INRS and a PhD. in electrical engineering from McGill University. He has been employed by the Government of Canada since 1996 during which he was involved in the creation of the data science team as well as the research group now known as the Tutte Institute for Mathematics and Computing. He also holds an adjunct professorial position in the Department of Mathematics and Statistics at the University of Ottawa. His current interests include relational-data mining and deep learning.
作者簡介(中文翻譯)
Bogumil Kamiński 是華沙經濟學院經濟與金融學科科學委員會的主席。他同時也是瑞爾森大學數據科學實驗室的兼任教授。Bogumil 是數學建模應用於解決複雜現實問題的專家。他也是 Julia 語言及其套件生態系統的重要開源貢獻者。
Pawel Pralat 是瑞爾森大學的數學教授,他的主要研究興趣在於隨機圖理論,特別是在建模和挖掘複雜網絡方面。他是菲爾茲數學科學研究所的工業數學計算方法實驗室(Fields-CQAM Lab)的主任,並與多個行業夥伴及加拿大政府進行合作。他已發表超過 170 篇論文和 3 本書,與 130 多位合作者共同合作。
François Théberge 擁有渥太華大學的應用數學學士學位、INRS 的電信碩士學位以及麥吉爾大學的電機工程博士學位。自 1996 年以來,他一直在加拿大政府工作,期間參與了數據科學團隊的創建以及現在被稱為 Tutte 數學與計算研究所的研究小組。他在渥太華大學的數學與統計系擔任兼任教授。他目前的研究興趣包括關聯數據挖掘和深度學習。