Data Classification Algorithms And Applications

Data Classification: Algorithms and Applications (Repost)  eBooks & eLearning

Posted by nebulae at Dec. 14, 2016
Data Classification: Algorithms and Applications (Repost)

Charu C. Aggarwal, "Data Classification: Algorithms and Applications"
English | ISBN: 1466586745 | 2014 | 707 pages | PDF | 7 MB

Data Classification: Algorithms and Applications  eBooks & eLearning

Posted by roxul at Aug. 31, 2014
Data Classification: Algorithms and Applications

Charu C. Aggarwal, "Data Classification: Algorithms and Applications"
English | ISBN: 1466586745 | 2014 | 707 pages | PDF | 7 MB

Data Clustering: Algorithms and Applications (Repost)  eBooks & eLearning

Posted by nebulae at Dec. 14, 2016
Data Clustering: Algorithms and Applications (Repost)

Charu C. Aggarwal, "Data Clustering: Algorithms and Applications"
English | ISBN: 1466558210 | 2014 | 652 pages | PDF | 13 MB

Data Clustering: Algorithms and Applications  eBooks & eLearning

Posted by roxul at Aug. 31, 2014
Data Clustering: Algorithms and Applications

Charu C. Aggarwal, "Data Clustering: Algorithms and Applications"
English | ISBN: 1466558210 | 2014 | 652 pages | PDF | 13 MB
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.

Automatic Modulation Classification: Principles, Algorithms and Applications  eBooks & eLearning

Posted by nebulae at Feb. 20, 2015
Automatic Modulation Classification: Principles, Algorithms and Applications

Zhechen Zhu and Asoke K. Nandi, "Automatic Modulation Classification: Principles, Algorithms and Applications"
English | ISBN: 1118906497 | 2015 | 184 pages | PDF | 2 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,
Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics) [Repost]

Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics) by S. Ejaz Ahmed
English | 6 Apr. 2017 | ISBN: 3319415727 | 400 Pages | PDF | 11.58 MB

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.