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Data Analysis
In this chapter, readers will be immersed in an exploration of various techniques in remote sensing data analysis. This chapter serves as a gateway...
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Data Analysis
Data analysis provides valuable insight based on the objective and questions you choose. To address these goals and questions, you need a framework...
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Data Analysis
Data analysis is important in counterintelligence because it allows intelligence agencies to collect information about threats or vulnerabilities,...
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Exploratory Data Analysis
The process of collecting, organizing, and describing data is commonly called descriptive analytics. Statistics summarize various measures such as...
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Secure Data Analysis and Data Privacy
A secure data system is an essential tool for the performance and stability of any enterprise. Data loss, theft, or contamination might have severe...
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Data Analysis of University Curricula
As a part of this research, 129 programming modules from 35 German universities were selected to analyze the programming competencies expected in...
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Multi-source Data Collection Data Security Analysis
In order to improve the data effect of multi-source data collection and shorten the time of data collection, this paper proposes a data security...
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Data analysis for vague contingency data
The existing Fisher’s exact test has been widely applied for investigating whether the difference between the observed frequencies is significant or...
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Data-Flow Analysis and Optimisation
Most compilers perform some optimisations on the code that is generated by the main phases of the compiler. These optimisations often follow a common...
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Enhancing Data Trustworthiness in Explorative Analysis: An Interactive Approach for Data Quality Monitoring
The volume of data to be analyzed has increased tremendously in recent years. In order to extract knowledge from this data, domain experts gain new...
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Analysis on open data as a foundation for data-driven research
Open Data, one of the key elements of Open Science, serves as a foundation for “data-driven research” and has been promoted in many countries....
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Data analysis with Python
Data analysis is one of the most critical stages in data science life cycle.
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Advances in Intelligent Data Analysis XXII 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24–26, 2024, Proceedings, Part II
The two volume set LNCS 14641 and 14642 constitutes the proceedings of the 22nd International Symposium on Intelligent Data Analysis, IDA 2024, which...
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Advances in Intelligent Data Analysis XXII 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24–26, 2024, Proceedings, Part I
The two volume set LNCS 14641 and 14642 constitutes the proceedings of the 22nd International Symposium on Intelligent Data Analysis, IDA 2024, which...
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A visual analysis approach for data imputation via multi-party tabular data correlation strategies
Data imputation is an essential pre-processing task for data governance, aimed at filling in incomplete data. However, conventional data imputation...
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Data Analysis and Optimization In Honor of Boris Mirkin's 80th Birthday
This book presents the state-of-the-art in the emerging field of data science and includes models for layered security with applications in the...
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Data Analysis of Guided Expert Interviews
The goal of the guided interviews with experts was to identify programming competencies expected from novice learners along with factors contributing...
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Data Analysis for Neurodegenerative Disorders
This book explores the challenges involved in handling medical big data in the diagnosis of neurological disorders. It discusses how to optimally...
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Generating High Dimensional Test Data for Topological Data Analysis
Topological Data Analysis (TDA) characterizes data based on topological invariants present in the data. In general, TDA treats the data as a discrete...
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Co-expression and Data Fusion Analysis of Omics Data for Liver Related Metabolic Diseases
In the proposed work co expression technique is applied to perform data fusion techniques to integrate omics data, understand gene and protein...
