{"type":"ScholarlyArticle","title":"Artificial Intelligence Conferences Closeness","authors":[{"name":"Sébastien Konieczny","slug":"sebastien-konieczny","given":"Sébastien","family":"Konieczny","affiliation":"CRIL -CNRS , Université d'Artois , France"},{"name":"Emmanuel Lonca","slug":"emmanuel-lonca","given":"Emmanuel","family":"Lonca","affiliation":"CRIL -CNRS , Université d'Artois , France"}],"abstract":"We study the evolution of Artificial Intelligence conference closeness, using the coscinus tool. Coscinus computes the closeness between publication supports using the co-publication habits of authors: the more authors publish in two conferences, the closer these two conferences. In this paper we perform an analysis of the main Artificial Intelligence conferences based on principal components analysis and clustering performed on this closeness relation.","doi":"10.24963/ijcai.2018/715","url":"https://ijcai.org/proceedings/2018/715","pdf":"https://ijcai.org/proceedings/2018/0715.pdf","markdown":"https://ijcai.org/proceedings/2018/715.md","bibtex":"https://ijcai.org/proceedings/2018/bibtex/715","volume":{"slug":"2018","title":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2018","url":"https://ijcai.org/proceedings/2018/","year":2018,"location":"Stockholm","dates":"13-19 July 2018","editors":"Jérôme Lang","isbn":"978-0-9992411-2-7","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2018"},"section":"Evolution of the contours of AI","track":"Evolution of the contours of AI","number":715,"pages":{"first":5158,"last":5164},"keywords":["Multidisciplinary Topics and Applications: Philosophical and Ethical Issues"],"videos":[],"references":[{"position":1,"raw":"[Jackson, 2003] J. Edward Jackson. A User's Guide to Prin- cipal Components. Wiley Series in Probability and Statis- tics. Wiley-Interscience, 2003.","title":"A User's Guide to Principal Components","authors":"J Edward Jackson","year":"2003","venue":"Wiley Series in Probability and Statistics","doi":null,"url":null,"internal_url":null},{"position":2,"raw":"[Jolliffe, 2002] Ian Jolliffe. Principal component analysis. Springer Verlag, 2002.","title":"Principal component analysis","authors":"Ian Jolliffe","year":"2002","venue":null,"doi":null,"url":null,"internal_url":null},{"position":3,"raw":"[Macqueen, 1967] James Macqueen. Some methods for classification and analysis of multivariate observations. In In 5-th Berkeley Symposium on Mathematical Statistics and Probability, pages 281-297, 1967.","title":"Some methods for classification and analysis of multivariate observations","authors":"James Macqueen, Macqueen","year":"1967","venue":"5-th Berkeley Symposium on Mathematical Statistics and Probability","doi":null,"url":null,"internal_url":null},{"position":4,"raw":"[Pearson, 1901] Karl Pearson. On lines and planes of closest fit to systems of points in space. Philosophical Magazine, 2(6):559-572, 1901.","title":"On lines and planes of closest fit to systems of points in space","authors":"Karl Pearson, Pearson","year":"1901","venue":"Philosophical Magazine","doi":null,"url":null,"internal_url":null},{"position":5,"raw":"[Rokach and Maimon, 2005] Lior Rokach and Oded Mai- mon. Clustering methods. In Oded Maimon and Lior Rokach, editors, The Data Mining and Knowledge Dis- covery Handbook., pages 321-352. Springer, 2005.","title":"Lior Rokach and Oded Maimon","authors":"Maimon Rokach","year":"2005","venue":"The Data Mining and Knowledge Discovery Handbook","doi":null,"url":null,"internal_url":null},{"position":6,"raw":"[Ward, 1963] Joe H. Ward. Hierarchical grouping to opti- mize an objective function. Journal of the American Sta- tistical Association, 58(301):236-244, 1963.","title":"Hierarchical grouping to optimize an objective function","authors":"Joe H Ward","year":"1963","venue":"Journal of the American Statistical Association","doi":null,"url":null,"internal_url":null}],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}