Machine learning and knowledge discovery in databases European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II /

This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012. The 105 revised research papers presented together with 5 invited talks were c...

全面介绍

Saved in:
书目详细资料
企业作者: SpringerLink (Online service)
其他作者: Bie, Tijl, Cristianini, Nello, Flach, Peter A.
格式: 电子书
语言:English
出版: Berlin, Heidelberg Imprint: Springer 2012.
丛编:Lecture Notes in Computer Science 7524
主题:
在线阅读:Click here to view the full text content
标签: 添加标签
没有标签, 成为第一个标记此记录!
实物特征
总结:This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012. The 105 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 443 submissions. The final sections of the proceedings are devoted to Demo and Nectar papers. The Demo track includes 10 papers (from 19 submissions) and the Nectar track includes 4 papers (from 14 submissions). The papers grouped in topical sections on association rules and frequent patterns; Bayesian learning and graphical models; classification; dimensionality reduction, feature selection and extraction; distance-based methods and kernels; ensemble methods; graph and tree mining; large-scale, distributed and parallel mining and learning; multi-relational mining and learning; multi-task learning; natural language processing; online learning and data streams; privacy and security; rankings and recommendations; reinforcement learning and planning; rule mining and subgroup discovery; semi-supervised and transductive learning; sensor data; sequence and string mining; social network mining; spatial and geographical data mining; statistical methods and evaluation; time series and temporal data mining; and transfer learning.
实物描述:1 Online resource (XXVI, 867 pages) 245 illustration, digital.
ISBN:9783642334863
ISSN:0302-9743