Low Frequency DAS Data Study with Integrated Data Analysis for Monitoring Hydraulic Fracture

2020 ◽  
Author(s):  
M. Ichikawa ◽  
M. Kato ◽  
S. Uchida ◽  
K. Tamura ◽  
A. Kato ◽  
...  
Keyword(s):  
Data Analysis ◽  
Hydraulic Fracture ◽  
Low Frequency ◽  
Integrated Data Analysis

Towards integrated Data Analysis Quality: Criteria for the application of Industrial Data Science

2021 ◽  
Author(s):  
Nikolai West ◽  
Jonas Gries ◽  
Carina Brockmeier ◽  
Jens C. Gobel ◽  
Jochen Deuse
Keyword(s):  
Data Analysis ◽  
Data Science ◽  
Quality Criteria ◽  
Industrial Data ◽  
Analysis Quality ◽  
Integrated Data Analysis

An integrated data analysis of configurations of supply chain integration

2018 ◽  
Vol 22 (S3) ◽  
pp. 6393-6404 ◽  
Author(s):  
Jiawen Liu ◽  
Jinlong Zhang ◽  
Yeming Gong
Keyword(s):  
Supply Chain ◽  
Data Analysis ◽  
Supply Chain Integration ◽  
Integrated Data Analysis

scholarly journals Using integrated data analysis to extend measurement capability (invited)

2018 ◽  
Vol 89 (10) ◽  
pp. 10K103 ◽  
Author(s):  
L. M. Reusch ◽  
M. D. Nornberg ◽  
J. A. Goetz ◽  
D. J. Den Hartog
Keyword(s):  
Data Analysis ◽  
Measurement Capability ◽  
Integrated Data Analysis

scholarly journals An Approach for Reconstruction of Realistic Economic Data Based on Frequency Characteristics between IMFs

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Hao Du ◽  
Hao Gong ◽  
Suyue Han ◽  
Peng Zheng ◽  
Bin Liu ◽  
...  
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Time Series Data ◽  
Low Frequency ◽  
Test Method ◽  
Series Data ◽  
Permutation Entropy ◽  
Intrinsic Mode Functions ◽  
Economic Data ◽  
Index Method

Reconstruction of realistic economic data often causes social economists to analyze the underlying driving factors in time-series data or to study volatility. The intrinsic complexity of time-series data interests and attracts social economists. This paper proposes the bilateral permutation entropy (BPE) index method to solve the problem based on partly ensemble empirical mode decomposition (PEEMD), which was proposed as a novel data analysis method for nonlinear and nonstationary time series compared with the T-test method. First, PEEMD is extended to the case of gold price analysis in this paper for decomposition into several independent intrinsic mode functions (IMFs), from high to low frequency. Second, IMFs comprise three parts, including a high-frequency part, low-frequency part, and the whole trend based on a fine-to-coarse reconstruction by the BPE index method and the T-test method. Then, this paper conducts a correlation analysis on the basis of the reconstructed data and the related affected macroeconomic factors, including global gold production, world crude oil prices, and world inflation. Finally, the BPE index method is evidently a vitally significant technique for time-series data analysis in terms of reconstructed IMFs to obtain realistic data.

scholarly journals Genome information management and integrated data analysis with HaloLex

2008 ◽  
Vol 190 (3) ◽  
pp. 281-299 ◽  
Author(s):  
Friedhelm Pfeiffer ◽  
Alexander Broicher ◽  
Thomas Gillich ◽  
Kathrin Klee ◽  
José Mejía ◽  
...  
Keyword(s):  
Data Analysis ◽  
Information Management ◽  
Genome Information ◽  
Integrated Data Analysis
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