Advances in Knowledge Discovery and Management: Volume 10
暫譯: 知識發現與管理進展：第十卷
Jaziri, Rakia, Martin, Arnaud, Cornuéjols, Antoine
- 出版商: Springer
- 出版日期: 2025-02-01
- 售價: $6,150
- 貴賓價: 9.5 折 $5,843
- 語言: 英文
- 頁數: 129
- 裝訂: Quality Paper - also called trade paper
- ISBN: 303140405X
- ISBN-13: 9783031404054
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相關主題
商品描述
商品描述(中文翻譯)
本書匯集了一系列卓越的前沿科學貢獻。涵蓋廣泛的主題，深入探討機器學習、資料探勘、文本分析、資料視覺化、知識管理等領域。所包含的文章是經過精心挑選的頂尖論文的擴展版本，這些論文最初於2020年1月27日至31日在法國巴黎舉行的EGC'2020會議上發表。此書旨在為對這些領域感興趣的研究人員提供參考，包括博士生和碩士生，以及來自公私實驗室的研究人員。這些擴展版本經過額外的同行評審過程，基於會議上已接受的長格式論文進行擴展。會議本身的長短論文選擇遵循嚴格的雙盲同行評審過程，評估了大量的投稿（長論文的接受率約為25%）。有關EGC協會的更多詳細資訊，請參閱egc.asso.fr。
作者簡介
of Paris-Saclay. He is head of the Ekinocs research team and co-director of the
H@rvest chair on the role of data sciences in agriculture. He has published a largenumber of research articles in major journals and conferences and is co-author of
two books: one on Machine Learning's concepts and algorithms (in French, 4th edition)
and one on Phase Transitions in Machine Learning. He has been the general
chair and program chair of several conferences, noticeably of EGC-2020 in Brussels.
He has been thinking and working on artificial intelligence and machine learning since his doctorate studies at UCLA and Orsay University, from which he graduated.
He is specifically interested in on line learning, transfer learning and collaborative
learning, settings where the classical machine learning approach based on the assumption
of a stationary environment must yield to new principles. Etienne Cuvelier is an assistant professor at ICHEC Brussels Management
School (Brussels, Belgium), a trainer at CentraleSupélec Executive Education (Paris,
France) and co-founder of the QUARESMI laboratory (Brussels, Belgium). After a
degree in mathematics and a degree in computer science at UMons (Mons, Belgium), he started a first career in secondary, higher and social education. Etienne
Cuvelier then completed a PhD in computer science at the Faculty of Computer Science
of UNamur (Namur, Belgium) in 2009. His main research interests are in the
area of complex data analysis (functional data, symbolic data, graphs). Arnaud Martin is full professor at University of Rennes 1 in the team DRUID
of IRISA laboratory. He received a HDR (French ability to supervised research) in
computer sciences (2009), a PhD degree in Signal Processing (2001), and Master
in Probability (1998). Pr. Arnaud Martin joined the laboratory IRISA at the universityof Rennes 1 as full professor in 2010 and co-create the team DRUID in 2012.
He teaches data fusion, data mining, and computer sciences. His research interests
are mainly related to the belief functions with applications on social networks and
crowdsourcing. He is author of numerous papers and invited talks. He supervised
numerous Phd students.
Rakia Jaziriis currently associate professor in computer science at Paris 8 University, researcherin the Artificial Intelligence Laboratory of Saint Denis (Paragraphe) and head of master program in Big Data and data mining. She is a former student of the Ecole Centrale de Lyon, she received the PhD degree in Computer Science in 2013 from the University of Paris Sorbonne in collaboration with the National Audiovisual Institute, then
a post-doctorate in the field of Artificial Intelligence on massive data in particular,
on algorithmsfor detecting aberrant data (suspicious behavior), the discovery of the typology of trajectories, and the prediction of the behavior of Internet users. As a member of the program committees for major conferences in her field, she has regularly
organized French-speaking conferences around AI. Her research topics now focus on machine learning. She is interested in analyzing data from social networks to extract information deemed to be significant for decision support. Her work has been the subject of numerous international publications and she was able to form partnerships with industry from all over the world.
Fabrice Guillet is a full professor in CS at Polytech'Nantes, the graduate engineering
school of University of Nantes, France, and a member of the " Data User Knowledge"
team (DUKe) of the LS2N laboratory. He received a PhD degree in CS in 1995
from the " École Nationale Supérieure des Télécommunications de Bretagne", andhis Habilitation (HdR) in 2006 from Nantes university. He is a co-founder and vicepresident
of the International French-speaking "Extraction et Gestion des
Connaissances (EGC)" society. His research interests include knowledge quality
and knowledge visualization in the frameworks of Data Science and Knowledge
Management. He has co-edited two refereed books of chapter entitled "QualityMeasures in Data Min-ing" and " Statistical Implicative Analysis -- Theory and
Applications" published by Springer in 2007 and 2008.
作者簡介(中文翻譯)
**Antoine Cornuejols** 是巴黎薩克雷大學 AgroParisTech 的計算機科學教授。他是 Ekinocs 研究團隊的負責人，也是 H@rvest 椅子的共同主任，該椅子專注於數據科學在農業中的角色。他在主要期刊和會議上發表了大量研究文章，並共同撰寫了兩本書：一本是關於機器學習的概念和算法（法文，第四版），另一本是關於機器學習中的相變化。他曾擔任多個會議的總主席和程序主席，特別是 2020 年在布魯塞爾舉行的 EGC 會議。他自加州大學洛杉磯分校（UCLA）和奧爾塞大學的博士研究以來，一直在思考和研究人工智慧和機器學習。他特別對在線學習、轉移學習和協作學習感興趣，這些情境中，基於靜態環境假設的傳統機器學習方法必須轉向新的原則。
**Etienne Cuvelier** 是比利時布魯塞爾 ICHEC 管理學院的助理教授，巴黎 CentraleSupélec 執行教育的培訓師，以及 QUARESMI 實驗室的共同創辦人（比利時布魯塞爾）。他在比利時蒙斯大學（UMons）獲得數學和計算機科學學位後，開始了在中學、高等教育和社會教育的第一份工作。Etienne Cuvelier 隨後於 2009 年在比利時納慕爾大學（UNamur）計算機科學系完成了計算機科學的博士學位。他的主要研究興趣集中在複雜數據分析（功能數據、符號數據、圖形）領域。
**Arnaud Martin** 是法國雷恩大學（University of Rennes 1）DRUID 團隊的全職教授，並在 IRISA 實驗室工作。他於 2001 年獲得信號處理的博士學位，1998 年獲得概率碩士學位，並於 2009 年獲得計算機科學的 HDR（法國研究指導能力）。Arnaud Martin 教授於 2010 年加入雷恩大學的 IRISA 實驗室，並於 2012 年共同創建了 DRUID 團隊。他教授數據融合、數據挖掘和計算機科學。他的研究興趣主要與信念函數有關，並應用於社交網絡和眾包。他發表了大量論文和受邀演講，並指導了多位博士生。
**Rakia Jaziri** 目前是巴黎 8 大學的計算機科學副教授，聖丹尼人工智慧實驗室（Paragraphe）的研究員，以及大數據和數據挖掘碩士課程的負責人。她是里昂中央學院的前學生，於 2013 年在巴黎索邦大學獲得計算機科學博士學位，並與國家視聽研究所合作，隨後在人工智慧領域進行了博士後研究，特別是針對檢測異常數據（可疑行為）的算法、軌跡類型的發現以及預測網絡用戶行為。作為其領域主要會議的程序委員會成員，她定期組織法語會議，圍繞人工智慧進行討論。她目前的研究主題集中在機器學習上，並對分析社交網絡數據以提取對決策支持有意義的信息感興趣。她的工作已發表在多篇國際期刊上，並能夠與來自世界各地的產業建立合作夥伴關係。
**Fabrice Guillet** 是法國南特大學（University of Nantes）Polytech'Nantes 的計算機科學全職教授，並且是 LS2N 實驗室的「數據用戶知識」（DUKe）團隊成員。他於 1995 年在法國布列塔尼高等電信學院獲得計算機科學博士學位，並於 2006 年在南特大學獲得 Habilitation（HdR）。他是國際法語「知識提取與管理（EGC）」協會的共同創辦人和副主席。他的研究興趣包括數據科學和知識管理框架中的知識質量和知識可視化。他共同編輯了兩本經過審核的書籍，分別是《數據挖掘中的質量度量》和《統計含義分析——理論與應用》，由 Springer 在 2007 年和 2008 年出版。
