Machine Learning and Knowledge Discovery in Databases Part II is popular PDF and ePub book, written by Dimitrios Gunopulos in 2011-09-06, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Machine Learning and Knowledge Discovery in Databases Part II can be Read Online from any device for your convenience.
Machine Learning and Knowledge Discovery in Databases Part II Book PDF Summary
This three-volume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2011, held in Athens, Greece, in September 2011. The 121 revised full papers presented together with 10 invited talks and 11 demos in the three volumes, were carefully reviewed and selected from about 600 paper submissions. The papers address all areas related to machine learning and knowledge discovery in databases as well as other innovative application domains such as supervised and unsupervised learning with some innovative contributions in fundamental issues; dimensionality reduction, distance and similarity learning, model learning and matrix/tensor analysis; graph mining, graphical models, hidden markov models, kernel methods, active and ensemble learning, semi-supervised and transductive learning, mining sparse representations, model learning, inductive logic programming, and statistical learning. a significant part of the papers covers novel and timely applications of data mining and machine learning in industrial domains.
Detail Book of Machine Learning and Knowledge Discovery in Databases Part II PDF
- Author : Dimitrios Gunopulos
- Release : 06 September 2011
- Publisher : Springer
- ISBN : 9783642237836
- Genre : Computers
- Total Page : 702 pages
- Language : English
- PDF File Size : 15,6 Mb
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