A Big Data Study: Correlations Between EUR and Petrophysics/Engineering/Production Parameters in Shale Formations by Data Regression and Interpolation Analysis

Mapping Intimacies ◽

10.2118/194381-ms ◽

2019 ◽

Cited By ~ 2

Author(s):

Yu Liang ◽

Lulu Liao ◽

Ye Guo

Keyword(s):

Big Data ◽

Shale Formations ◽

Production Parameters ◽

Data Regression ◽

Interpolation Analysis

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Big Data Regression Using Tree Based Segmentation

2017 14th IEEE India Council International Conference (INDICON) ◽

10.1109/indicon.2017.8488137 ◽

2017 ◽

Cited By ~ 3

Author(s):

Rajiv Sambasivan ◽

Sourish Das

Keyword(s):

Big Data ◽

Data Regression

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GRNN++: A Parallel and Distributed Version of GRNN Under Apache Spark for Big Data Regression

Data Management, Analytics and Innovation - Advances in Intelligent Systems and Computing ◽

10.1007/978-981-32-9949-8_16 ◽

2019 ◽

pp. 215-227

Author(s):

Sk. Kamaruddin ◽

Vadlamani Ravi

Keyword(s):

Big Data ◽

Apache Spark ◽

Data Regression

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Distributed fuzzy rough prototype selection for Big Data regression

Soggettività e potere ◽

10.1109/nafips-wconsc.2015.7284158 ◽

2015 ◽

Cited By ~ 2

Author(s):

Sarah Vluymans ◽

Hasan Asfoor ◽

Yvan Saeys ◽

Chris Cornelis ◽

Matthew Tolentino ◽

...

Keyword(s):

Big Data ◽

Prototype Selection ◽

Data Regression ◽

Selection For

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Big data regression with parallel enhanced and convex incremental extreme learning machines

Computational Intelligence ◽

10.1111/coin.12136 ◽

2017 ◽

Vol 34 (3) ◽

pp. 875-894

Author(s):

Yiannis Kokkinos ◽

Konstantinos G. Margaritis

Keyword(s):

Big Data ◽

Extreme Learning Machines ◽

Learning Machines ◽

Data Regression

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EGRNN++ and PNN++ : Parallel and Distributed Neural Networks for Big Data Regression and Classification

SN Computer Science ◽

10.1007/s42979-021-00504-z ◽

2021 ◽

Vol 2 (2) ◽

Author(s):

Sk Kamaruddin ◽

Vadlamani Ravi

Keyword(s):

Neural Networks ◽

Big Data ◽

Data Regression

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A machine learning approach to big data regression analysis of real estate prices for inferential and predictive purposes

Journal of Property Research ◽

10.1080/09599916.2019.1587489 ◽

2019 ◽

Vol 36 (1) ◽

pp. 59-96 ◽

Cited By ~ 8

Author(s):

Jorge Iván Pérez-Rave ◽

Juan Carlos Correa-Morales ◽

Favián González-Echavarría

Keyword(s):

Machine Learning ◽

Big Data ◽

Regression Analysis ◽

Real Estate ◽

Learning Approach ◽

Data Regression ◽

Machine Learning Approach ◽

Real Estate Prices

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Accounting for Factor Variables in Big Data Regression

Statistica Sinica ◽

10.5705/ss.202018.0309 ◽

2020 ◽

Author(s):

Tonglin Zhang ◽

Baijian Yang

Keyword(s):

Big Data ◽

Data Regression

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Big data regression via parallelized radial basis function neural network in Apache Spark

10.1049/pbpc037g_ch11 ◽

2021 ◽

pp. 241-250

Author(s):

Sheikh Kamaruddin ◽

Vadlamani Ravi

Keyword(s):

Neural Network ◽

Big Data ◽

Radial Basis Function ◽

Basis Function ◽

Apache Spark ◽

Data Regression ◽

Radial Basis

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Communication scheduling scheme based on big-data regression analysis and genetic algorithm for cyber-physical factory automation

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/smc.2016.7844631 ◽

2016 ◽

Cited By ~ 2

Author(s):

Chao-Chun Chen ◽

Chao-Lieh Chen ◽

Che-Yang Ciou ◽

Jia-Xuan Liu

Keyword(s):

Genetic Algorithm ◽

Big Data ◽

Regression Analysis ◽

Factory Automation ◽

Communication Scheduling ◽

Scheduling Scheme ◽

Data Regression

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Leveraging for big data regression

Wiley Interdisciplinary Reviews Computational Statistics ◽

10.1002/wics.1324 ◽

2014 ◽

Vol 7 (1) ◽

pp. 70-76 ◽

Cited By ~ 22

Author(s):

Ping Ma ◽

Xiaoxiao Sun

Keyword(s):

Big Data ◽

Data Regression

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