Price: $176.99
(as of Nov 23,2024 15:05:35 UTC – Details)

Publisher ‏ : ‎ De Gruyter; 1st edition (December 30, 2024)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 248 pages
ISBN-10 ‏ : ‎ 311134407X
ISBN-13 ‏ : ‎ 978-3111344072
Item Weight ‏ : ‎ 1.74 pounds

In this post, we will be diving into the world of Big Data, Data Mining, and Data Science, focusing on the algorithms, infrastructures, management, and security aspects of these fields. Intelligent Computing is at the forefront of these technologies, driving innovation and providing insights that were previously unimaginable.

Big Data refers to the massive amount of data that is generated every day from various sources such as social media, sensors, and IoT devices. Data Mining is the process of extracting useful information from this data, while Data Science combines statistical analysis, machine learning, and domain knowledge to gain insights and make predictions.

Algorithms play a crucial role in processing and analyzing Big Data, enabling us to uncover patterns, trends, and relationships within the data. Infrastructures such as cloud computing and distributed systems provide the necessary resources to store, process, and analyze large datasets efficiently.

Effective management of Big Data requires proper governance, data quality assurance, and data integration strategies. Security is also a major concern when dealing with sensitive data, and measures such as encryption, access control, and data masking are essential to protect data from unauthorized access and breaches.

Intelligent Computing is constantly evolving, and the integration of Big Data, Data Mining, and Data Science is revolutionizing industries and shaping the future of technology. By leveraging advanced algorithms, robust infrastructures, efficient management practices, and strong security measures, organizations can harness the power of data to drive innovation, make informed decisions, and gain a competitive edge in today’s data-driven world.
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