Handbook of Big Data Analytics - Springer Handbooks of Computational Statistics
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 0)

H-INDEX

(FIVE YEARS 0)

Published By Springer International Publishing

9783319182834, 9783319182841

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A Tutorial on : R Package for the Linearized Bregman Algorithm in High-Dimensional Statistics

Handbook of Big Data Analytics - Springer Handbooks of Computational Statistics ◽

10.1007/978-3-319-18284-1_17 ◽

2018 ◽

pp. 425-453

Author(s):

Jiechao Xiong ◽

Feng Ruan ◽

Yuan Yao

Keyword(s):

R Package ◽

High Dimensional ◽

High Dimensional Statistics

Download Full-text

Functional Data Analysis for Big Data: A Case Study on California Temperature Trends

Handbook of Big Data Analytics - Springer Handbooks of Computational Statistics ◽

10.1007/978-3-319-18284-1_18 ◽

2018 ◽

pp. 457-483 ◽

Cited By ~ 2

Author(s):

Pantelis Zenon Hadjipantelis ◽

Hans-Georg Müller

Keyword(s):

Big Data ◽

Data Analysis ◽

Functional Data Analysis ◽

Functional Data ◽

Temperature Trends

Download Full-text

Bridging Density Functional Theory and Big Data Analytics with Applications

Handbook of Big Data Analytics - Springer Handbooks of Computational Statistics ◽

10.1007/978-3-319-18284-1_15 ◽

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

Download Full-text

Cognitive Data Analysis for Big Data

Handbook of Big Data Analytics - Springer Handbooks of Computational Statistics ◽

10.1007/978-3-319-18284-1_2 ◽

2018 ◽

pp. 23-47

Author(s):

Jing Shyr ◽

Jane Chu ◽

Mike Woods

Keyword(s):

Big Data ◽

Data Analysis ◽

Cognitive Data

Download Full-text

Scattered Data and Aggregated Inference

Handbook of Big Data Analytics - Springer Handbooks of Computational Statistics ◽

10.1007/978-3-319-18284-1_4 ◽

2018 ◽

pp. 75-102

Author(s):

Xiaoming Huo ◽

Cheng Huang ◽

Xuelei Sherry Ni

Keyword(s):

Scattered Data

Download Full-text

Beta-Boosted Ensemble for Big Credit Scoring Data

Handbook of Big Data Analytics - Springer Handbooks of Computational Statistics ◽

10.1007/978-3-319-18284-1_21 ◽

2018 ◽

pp. 523-538

Author(s):

Maciej Zieba ◽

Wolfgang Karl Härdle

Keyword(s):

Credit Scoring

Download Full-text

Sufficient Dimension Reduction for Tensor Data

Handbook of Big Data Analytics - Springer Handbooks of Computational Statistics ◽

10.1007/978-3-319-18284-1_13 ◽

2018 ◽

pp. 325-338

Author(s):

Yiwen Liu ◽

Xin Xing ◽

Wenxuan Zhong

Keyword(s):

Dimension Reduction ◽

Sufficient Dimension Reduction ◽

Tensor Data

Download Full-text

Finding Patterns in Time Series

Handbook of Big Data Analytics - Springer Handbooks of Computational Statistics ◽

10.1007/978-3-319-18284-1_6 ◽

2018 ◽

pp. 125-150

Author(s):

James E. Gentle ◽

Seunghye J. Wilson

Keyword(s):

Time Series

Download Full-text

Construction of Tight Frames on Graphs and Application to Denoising

Handbook of Big Data Analytics - Springer Handbooks of Computational Statistics ◽

10.1007/978-3-319-18284-1_20 ◽

2018 ◽

pp. 503-522 ◽

Cited By ~ 2

Author(s):

Franziska Göbel ◽

Gilles Blanchard ◽

Ulrike von Luxburg

Keyword(s):

Tight Frames

Download Full-text

Semi-supervised Smoothing for Large Data Problems

Handbook of Big Data Analytics - Springer Handbooks of Computational Statistics ◽

10.1007/978-3-319-18284-1_11 ◽

2018 ◽

pp. 285-299

Author(s):

Mark Vere Culp ◽

Kenneth Joseph Ryan ◽

George Michailidis

Keyword(s):

Large Data

Download Full-text

Handbook of Big Data Analytics - Springer Handbooks of Computational StatisticsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

A Tutorial on : R Package for the Linearized Bregman Algorithm in High-Dimensional Statistics

Functional Data Analysis for Big Data: A Case Study on California Temperature Trends

Bridging Density Functional Theory and Big Data Analytics with Applications

Cognitive Data Analysis for Big Data

Scattered Data and Aggregated Inference

Beta-Boosted Ensemble for Big Credit Scoring Data

Sufficient Dimension Reduction for Tensor Data

Finding Patterns in Time Series

Construction of Tight Frames on Graphs and Application to Denoising

Semi-supervised Smoothing for Large Data Problems

Handbook of Big Data Analytics - Springer Handbooks of Computational Statistics
Latest Publications