Handbook of Big Data Analytics - Springer Handbooks of Computational Statistics
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21
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Published By Springer International Publishing

9783319182834, 9783319182841
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Bridging Density Functional Theory and Big Data Analytics with Applications

2018 ◽  
pp. 351-374
Author(s):  
Chien-Chang Chen ◽  
Hung-Hui Juan ◽  
Meng-Yuan Tsai ◽  
Henry Horng-Shing Lu
Keyword(s):  
Density Functional Theory ◽  
Big Data ◽  
Data Analytics ◽  
Density Functional ◽  
Big Data Analytics ◽  
Functional Theory

Cognitive Data Analysis for Big Data

2018 ◽  
pp. 23-47
Author(s):  
Jing Shyr ◽  
Jane Chu ◽  
Mike Woods
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Cognitive Data

Scattered Data and Aggregated Inference

2018 ◽  
pp. 75-102
Author(s):  
Xiaoming Huo ◽  
Cheng Huang ◽  
Xuelei Sherry Ni
Keyword(s):  
Scattered Data

scholarly journals Beta-Boosted Ensemble for Big Credit Scoring Data

2018 ◽  
pp. 523-538
Author(s):  
Maciej Zieba ◽  
Wolfgang Karl Härdle
Keyword(s):  
Credit Scoring

Sufficient Dimension Reduction for Tensor Data

2018 ◽  
pp. 325-338
Author(s):  
Yiwen Liu ◽  
Xin Xing ◽  
Wenxuan Zhong
Keyword(s):  
Dimension Reduction ◽  
Sufficient Dimension Reduction ◽  
Tensor Data

Finding Patterns in Time Series

2018 ◽  
pp. 125-150
Author(s):  
James E. Gentle ◽  
Seunghye J. Wilson
Keyword(s):  
Time Series

scholarly journals Construction of Tight Frames on Graphs and Application to Denoising

2018 ◽  
pp. 503-522 ◽  
Author(s):  
Franziska Göbel ◽  
Gilles Blanchard ◽  
Ulrike von Luxburg
Keyword(s):  
Tight Frames

Semi-supervised Smoothing for Large Data Problems

2018 ◽  
pp. 285-299
Author(s):  
Mark Vere Culp ◽  
Kenneth Joseph Ryan ◽  
George Michailidis
Keyword(s):  
Large Data
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