Big Data Analysis: Techniques, Challenges, and Business Benefits
VerifiedAdded on 2023/06/07
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Report
AI Summary
This report delves into the realm of big data analysis, examining its fundamental concepts and practical applications. It begins by defining big data and its characteristics, including volume, variety, value, veracity, and velocity. The report explores the challenges associated with big data, such as insufficient data, the inability to understand data, and the use of poor quality data. It then outlines various techniques used in big data analysis, including classification tree learning, machine learning, association rule learning, genetic algorithms, regression analysis, sentiment analysis, and social network analysis. The report also highlights how big data technology supports businesses, leading to reduced costs, increased revenue, improved pricing decisions, a competitive advantage, and enhanced decision-making processes. The report includes references to relevant research and publications on big data and its applications.
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