for example, to use Big Data to determine how well your sales campaigns perform, but even greater business value is derived when an enterprise can determine not only who became customers but also how valuable those prospects were (i.e., how much they...
Big data and related technologies, such as Artificial Intelligence (AI), the Internet of Things (IoT), and more, are important drivers of so-called smart mobility. This concept refers to “local and supra-local accessibility, availability of ICTs, … ...
Current and Future Trends in Big Data-based Smart Mobility Guest editors: Francesco Schiavone; Félix Jesús Villanueva Molina; Irina Arhipova - Submission deadline: 28th February 2025 Big data and related technologies, such as Artificial Intelligence (AI), the Internet of Things (IoT), and more...
September 30, 2024 at 12:49 pm Interview with Jeanette Small, MA, PhD In this recent AI Think Tank Podcast episode, we took a close look into the complexities of intelligence, neural… New to Data Science Central? Register Already a Member? Login...
program at Washington DC USA this year. Example topics of interest includes but is not limited to the following: 1. Big Data Science and Foundations Novel Theoretical Models for Big Data New Computational Models for Big Data Data and Information Quality for Big Data New Data Standards 2. Big ...
One reason is that data science is intricately intertwined with other important concepts also of growing importance, such as big data and data-driven decision making. Another reason is the natural tendency to associate what a practitioner does with the definition of the practitioner's field; this ...
Welcome Messages from IEEE BigDataSE 2020 Program Chairs On behalf of the Program Committee of the 14th IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE 2020), we would like to welcome you to join the conference in Guangzhou, China, December 29, 2020 - January...
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames. python data-science machine-learning statistics deep-learning jupyter pandas-dataframe exploratory-data-analysis jupyter-notebook eda pandas exploration data-analysis html-report data-exploration hacktober...
Journal on Big Data (JBD) is launched in a new area when the engineering features of big data are setting off upsurges of explorations in algorithms, raising challenges on big data, and industrial development integration;
Pages 257-261 View PDF View chapter About the book Description Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achie...