References in periodicals archive ?
Production data analysis methods are the methods available to analyze long-term production data (flow rate and pressure data) for different purposes such as estimation of oil in place ultimate recovery and reservoir parameters such as permeability and skin factor.
The first step in forensic data analysis is establishing an execution plan, which starts by discussing the capabilities of such analysis with the appropriate parties involved.
Business information systems depth data analysis and their subsequent utilization at company control fall under common mark Business Intelligence.
Hence, if data analysis software product 1 requires an order of magnitude more compute units than data analysis software product 2 to perform the same task, then product 1 will cost more than 2.
- Maintain a history of when data analysis was executed and its results
A quick look at the Table of Contents will tip the reader off that this book takes a different approach to teaching data analysis (or is it leading by example?).
Crucial for the success of intelligent data analysis was the second phase of CRISP-DM methodology, comprising of data formatting, description, exploration, and data quality verification, because the data source was partially erroneous and of poor quality.
While there are chapters on qualitative methods and data analysis, some introductory material about mixed methods would better represent the reality of most human services research, particularly in program evaluation.
The aim of the book is ambitious: comprehensive and illustrative compilation of the basic statistical theory and methods for spatial data analysis. Few books on the subject of statistical methods for spatial data analysis describe the methods in a thorough yet accessible manner.
I designed this course with sections on ethics, the logic of inquiry, methodological strategies, data analysis and writing results.
The demonstration will proceed in a step-by-step manner so that it can be generalized to analyzing related data by counselors who may not feel especially confident in their data analysis skills.
Content covers such topics as tectonics, computational methods for quantitative analysis, modeling, collaborative systems for sharing data, data analysis, data integration, and new developments in such fields as archeology, geophysics, volcanology and geology.

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