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What is Missing Values

Chapter 8
Big Data Analytics for Entrepreneurial Success
Occur when no data value is stored for the variable in an observation.
Published in Chapter:
Plan and Rules for Data Analysis Success: A Roadmap
Copyright: © 2019 |Pages: 32
DOI: 10.4018/978-1-5225-7609-9.ch008
Abstract
Adapting the complex big data into your projects will be one of your strengths! Your mission to integrate big data is not limited to the use of sophisticated tools to solve your problems, but you must align the requirements of your activities with data lake or data warehouse through clear and correct strategies, taking into account your business as a goal. This provides support to your companies in all stages of your projects: from defining and taking requirements to start production and subsequent maintenance. Finally, it will help you create sustainable and stable competitive advantages.
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Chapter 9
Big Data Analytics in Action: Examples
Occur when no data value is stored for the variable in an observation.
Published in Chapter: Big Data Analytics in Action: Examples; From: Big Data Analytics for Entrepreneurial Success
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 3
A Framework of Statistical and Visualization Techniques for Missing Data Analysis in Software Cost Estimation
A Missing value occurs when no data value is stored for the variable in the current observation.
Published in Chapter: A Framework of Statistical and Visualization Techniques for Missing Data Analysis in Software Cost Estimation; From: Handbook of Research on Innovations in Systems and Software Engineering
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Chapter 12
Data Clustering Algorithms Using Rough Sets
The attribute values which are not there in a database for some reason like not entered, not available or deleted.
Published in Chapter: Data Clustering Algorithms Using Rough Sets; From: Handbook of Research on Computational Intelligence for Engineering, Science, and Business
Full Text Chapter Download: US $37.50 Add to Cart
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