Foundations of Big Data Analysis
Foundations of Big Data Analysis is a foundational session designed to provide participants with a thorough understanding of the core concepts and principles that underpin the field of big data analytics. This session covers essential topics such as the characteristics of big data, data acquisition, storage, and pre-processing, as well as data exploration techniques. Participants will learn about the challenges and opportunities presented by big data and gain insight into how to effectively analyze and derive valuable insights from large and complex datasets. Through engaging lectures and interactive discussions, this session aims to equip participants with the knowledge and skills needed to navigate the world of big data analytics confidently.
Related Conference of Foundations of Big Data Analysis
10th World Congress on Computer Science, Machine Learning and Big Data
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Foundations of Big Data Analysis Conference Speakers
Recommended Sessions
- Big Data Analytics in Finance and Banking
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- Clustering and Association Rule Mining
- Data Cleaning and Preprocessing
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- Exploratory Data Analysis (EDA)
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