Event Mining: Algorithms And Applications

Event Mining: Algorithms and Applications, v. 38  eBooks & eLearning

Posted by sasha82 at Dec. 26, 2015
Event Mining: Algorithms and Applications, v. 38

Event Mining: Algorithms and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series, v. 38) by Tao Li
2016 | ISBN: 1466568577 | English | 332 pages | PDF | 14 MB

Link Mining: Models, Algorithms, and Applications‎ (repost)  eBooks & eLearning

Posted by tot167 at Dec. 19, 2010
Link Mining: Models, Algorithms, and Applications‎ (repost)

Philip S. Yu, Jiawei Han, Christos Faloutsos, "Link Mining: Models, Algorithms, and Applications‎"
S,,ger | 2010 | ISBN: 1441965149 | 600 pages | PDF | 10,3 MB

Handbook of Parallel Computing: Models, Algorithms and Applications (repost)  eBooks & eLearning

Posted by Willson at July 19, 2017
Handbook of Parallel Computing: Models, Algorithms and Applications (repost)

Sanguthevar Rajasekaran, John Reif, "Handbook of Parallel Computing: Models, Algorithms and Applications (Chapman & Hall/CRC Computer and Information Science Series) "
English | 2007 | ISBN: 1584886234 | 1224 pages | PDF | 10.5 MB

Handbook of Semidefinite Programming: Theory, Algorithms, and Applications  eBooks & eLearning

Posted by Willson at July 19, 2017
Handbook of Semidefinite Programming: Theory, Algorithms, and Applications

Henry Wolkowicz, Romesh Saigal, Lieven Vandenberghe, "Handbook of Semidefinite Programming: Theory, Algorithms, and Applications (International Series in Operations Research & Management Science)"
English | 2000 | ISBN: 0792377710, 1461369703 | 654 pages | PDF | 3 MB
Pharmaceutical Data Mining: Approaches and Applications for Drug Discovery (repost)

Pharmaceutical Data Mining: Approaches and Applications for Drug Discovery by Konstantin V. Balakin and Sean Ekins
English | 2009-12-21 | ISBN: 0470196084 | 584 pages | PDF | 4,7 mb
Recent Developments in Computational Finance:Foundations, Algorithms and Applications (repost)

Thomas Gerstner, Peter Kloeden, "Recent Developments in Computational Finance: Foundations, Algorithms and Applications"
English | ISBN: 9814436429 | 2013 | 480 pages | PDF | 3 MB

Entropy Guided Transformation Learning: Algorithms and Applications  eBooks & eLearning

Posted by AvaxGenius at June 21, 2017
Entropy Guided Transformation Learning: Algorithms and Applications

Entropy Guided Transformation Learning: Algorithms and Applications By Cícero Nogueira dos Santos, Ruy Luiz Milidiú
English | PDF | 2012 | 81 Pages | ISBN : 1447129776 | 3.2 MB

Entropy Guided Transformation Learning: Algorithms and Applications (ETL) presents a machine learning algorithm for classification tasks. ETL generalizes Transformation Based Learning (TBL) by solving the TBL bottleneck: the construction of good template sets. ETL automatically generates templates using Decision Tree decomposition.

Data Clustering: Theory, Algorithms, and Applications (repost)  eBooks & eLearning

Posted by roxul at June 21, 2017
Data Clustering: Theory, Algorithms, and Applications (repost)

Guojun Gan, ‎Chaoqun Ma, ‎Jianhong Wu, "Data Clustering: Theory, Algorithms, and Applications"
2007 | ISBN: 0898716233 | 466 pages | PDF | 5,7 MB
Topological Methods in Data Analysis and Visualization IV: Theory, Algorithms, and Applications: 4

Topological Methods in Data Analysis and Visualization IV: Theory, Algorithms, and Applications: 4 (Mathematics and Visualization) by Hamish Carr
English | 1 July 2017 | ISBN: 3319446827 | 363 Pages | PDF | 13.62 MB

This book presents contributions on topics ranging from novel applications of topological analysis for particular problems, through studies of the effectiveness of modern topological methods, algorithmic improvements on existing methods,
Topological Methods in Data Analysis and Visualization IV: Theory, Algorithms, and Applications

Topological Methods in Data Analysis and Visualization IV: Theory, Algorithms, and Applications By Hamish CarrChristoph GarthTino Weinkauf
English | PDF | 2017 | 355 Pages | ISBN : 3319446827 | 13.7 MB

This book presents contributions on topics ranging from novel applications of topological analysis for particular problems, through studies of the effectiveness of modern topological methods, algorithmic improvements on existing methods, and parallel computation of topological structures, all the way to mathematical topologies not previously applied to data analysis.