We are improving our search experience. To check which content you have full access to, or for advanced search, go back to the old search.

Search

Please fill in this field.
Filters applied:

Search Results

Showing 1-20 of 10,000 results
  1. 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...
    Chapter 2023
  2. 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...
    Shivakumar R. Goniwada in Introduction to Datafication
    Chapter 2023
  3. Data Analysis

    Data analysis is important in counterintelligence because it allows intelligence agencies to collect information about threats or vulnerabilities,...
    Chapter 2023
  4. Exploratory Data Analysis

    The process of collecting, organizing, and describing data is commonly called descriptive analytics. Statistics summarize various measures such as...
    Umesh R. Hodeghatta, Umesha Nayak in Practical Business Analytics Using R and Python
    Chapter 2023
  5. 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...
    Okash Abdi, Gautam Srivastava, Jerry Chun-Wei Lin in Security and Risk Analysis for Intelligent Edge Computing
    Chapter 2023
  6. 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...
    Natalie Kiesler in Modeling Programming Competency
    Chapter 2024
  7. 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...

    Ioanna Miliou, Nico Piatkowski, Panagiotis Papapetrou in Lecture Notes in Computer Science
    Conference proceedings 2024
  8. 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...

    Ioanna Miliou, Nico Piatkowski, Panagiotis Papapetrou in Lecture Notes in Computer Science
    Conference proceedings 2024
  9. 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...
    Conference paper 2023
  10. 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...

    Muhammad Aslam, Faten S. Alamri in Journal of Big Data
    Article Open access 23 August 2023
  11. 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...
    Torben Ægidius Mogensen in Introduction to Compiler Design
    Chapter 2024
  12. 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...

    Michael Behringer, Pascal Hirmer, ... Bernhard Mitschang in SN Computer Science
    Article Open access 20 April 2024
  13. 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....

    Honami Numajiri, Takayuki Hayashi in Scientometrics
    Article Open access 01 March 2024
  14. 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...

    Boris Goldengorin, Sergei Kuznetsov in Springer Optimization and Its Applications
    Book 2023
  15. Data analysis with Python

    Data analysis is one of the most critical stages in data science life cycle.
    Chaolemen Borjigin in Python Data Science
    Chapter 2023
  16. 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...

    Haiyang Zhu, Dongming Han, ... Wei Chen in Frontiers of Information Technology & Electronic Engineering
    Article 29 December 2023
  17. 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...

    Deepika Koundal, Deepak Kumar Jain, ... Atef Zaguia in Cognitive Technologies
    Book 2023
  18. 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...
    Natalie Kiesler in Modeling Programming Competency
    Chapter 2024
  19. 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...
    Rohit P. Singh, Nicholas O. Malott, ... Philip A. Wilsey in Benchmarking, Measuring, and Optimizing
    Conference paper 2024
  20. Market Analysis of a Data Platform in the European Data Ecosystem

    In the era of data analytics, industries can use data to enhance market analyses and seek better opportunities for current, or new, business...
    Gabriel G. Castane, Alejandro Martinez, ... Eduardo Vyhmeister in Artificial Intelligence Applications and Innovations. AIAI 2024 IFIP WG 12.5 International Workshops
    Conference paper 2024
Did you find what you were looking for? Share feedback.