Data Preprocessing

Data Preprocessing in Data Mining  

Posted by interes at Nov. 14, 2014
Data Preprocessing in Data Mining

Data Preprocessing in Data Mining (Intelligent Systems Reference Library) by Salvador García and Julián Luengo
English | 2014 | ISBN: 331910246X | 320 pages | PDF | 8 MB

Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process.
Data Analytics: Models and Algorithms for Intelligent Data Analysis (repost)

Data Analytics: Models and Algorithms for Intelligent Data Analysis by Thomas A. Runkler
English | 2012 | ISBN-10: 3834825883 | PDF | 147 pages | 2,5 MB

This book is a comprehensive introduction to the methods and algorithms and approaches of modern data analytics. It covers data preprocessing, visualization, correlation, regression, forecasting, classification, and clustering.
Data Analytics: Models and Algorithms for Intelligent Data Analysis (repost)

Data Analytics: Models and Algorithms for Intelligent Data Analysis by Thomas A. Runkler
English | 2012 | ISBN-10: 3834825883 | PDF | 147 pages | 2,5 MB

This book is a comprehensive introduction to the methods and algorithms and approaches of modern data analytics. It covers data preprocessing, visualization, correlation, regression, forecasting, classification, and clustering.
Biological Knowledge Discovery Handbook: Preprocessing, Mining and Postprocessing of Biological Data

Biological Knowledge Discovery Handbook: Preprocessing, Mining and Postprocessing of Biological Data by Mourad Elloumi and Albert Y. Zomaya
English | 2013 | ISBN: 1118132734 | 1192 pages | PDF | 40 MB
Grouping Multidimensional Data: Recent Advances in Clustering by Jacob Kogan [Repost]

Grouping Multidimensional Data: Recent Advances in Clustering by Jacob Kogan
English | December 16, 2005 | ISBN: 354028348X | 268 Pages | PDF | 10 MB

Clustering is one of the most fundamental and essential data analysis techniques. Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or anomaly detection.
Jacob Kogan, "Grouping Multidimensional Data: Recent Advances in Clustering"(repost)

Jacob Kogan, "Grouping Multidimensional Data: Recent Advances in Clustering"
Publisher: Springer | ISBN: 354028348X | edition 2006 | PDF | 272 pages | 10,3 mb

Clustering is one of the most fundamental and essential data analysis techniques. Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or anomaly detection. Kogan and his co-editors have put together recent advances in clustering large and high-dimension data.

Grouping Multidimensional Data: Recent Advances in Clustering by Jacob Kogan { Repost }  eBooks & eLearning

Posted by stillalone90 at June 22, 2009
Grouping Multidimensional Data: Recent Advances in Clustering by Jacob Kogan { Repost }

Grouping Multidimensional Data: Recent Advances in Clustering by Jacob Kogan (Editor), Charles Nicholas (Editor), Marc Teboulle (Editor)
Publisher: Springer; 1 edition (February 10, 2006) | ISBN-10: 354028348X | PDF | 3,7 Mb | 268 pages

Clustering is one of the most fundamental and essential data analysis techniques. Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or anomaly detection. Kogan and his co-editors have put together recent advances in clustering large and high-dimension data. Their volume addresses new topics and methods which are central to modern data analysis, with particular emphasis on linear algebra tools, opimization methods and statistical techniques.

Grouping Multidimensional Data: Recent Advances in Clustering by Jacob Kogan  eBooks & eLearning

Posted by Alexpal at June 19, 2007
Grouping Multidimensional Data: Recent Advances in Clustering by  Jacob Kogan

Grouping Multidimensional Data: Recent Advances in Clustering by Jacob Kogan (Editor), Charles Nicholas (Editor), Marc Teboulle (Editor)
Publisher: Springer; 1 edition (February 10, 2006) | ISBN-10: 354028348X | PDF | 3,7 Mb | 268 pages

Clustering is one of the most fundamental and essential data analysis techniques. Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or anomaly detection.

Handbook of Data Quality: Research and Practice (Repost)  eBooks & eLearning

Posted by insetes at Dec. 3, 2016
Handbook of Data Quality: Research and Practice (Repost)

Handbook of Data Quality: Research and Practice By Shazia Sadiq
2013 | 452 Pages | ISBN: 3642362567 | PDF | 6 MB

If You Can Cook You Can Code Vol 4: Big Data (2016)  eBooks & eLearning

Posted by naag at Dec. 3, 2016
If You Can Cook You Can Code Vol 4: Big Data (2016)

If You Can Cook You Can Code Vol 4: Big Data
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3.5 Hours | Lec: 17 | 6.08 GB
Genre: eLearning | Language: English

Get the inside scoop on how Big Data works, even if you have never written a line of code or worked in tech.