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Tag: Imprecise
Rough Sets and Data Mining: Analysis of Imprecise Data by T.Y. Lin (English) Har
Rough Sets and Data Mining: Analysis of Imprecise Data by T.Y. Lin (English) Har
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Rough Sets and Data Mining: Analysis of Imprecise Data by T.Y. LinIn the world of data mining, dealing with imprecise and incomplete data is a common challenge. T.Y. Lin’s book, “Rough Sets and Data Mining: Analysis of Imprecise Data,” offers a comprehensive look at how rough set theory can be applied to address these issues.
Lin’s book provides a detailed explanation of rough sets and their application in data mining. Rough set theory is a mathematical approach that allows for the analysis of imprecise data by dividing it into lower and upper approximation sets. This technique is particularly useful in situations where traditional data mining methods may struggle to make accurate predictions.
The book covers a wide range of topics, including rough set theory, data preprocessing techniques, attribute reduction, and rule generation. It also includes case studies and examples to help readers understand how rough sets can be applied in real-world scenarios.
Overall, “Rough Sets and Data Mining: Analysis of Imprecise Data” is a valuable resource for data mining professionals, researchers, and students looking to enhance their understanding of imprecise data analysis. Lin’s clear and concise writing style makes complex concepts easy to grasp, making this book a must-read for anyone interested in the intersection of rough sets and data mining.
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Price:$48.95– $33.99
(as of Dec 23,2024 09:42:27 UTC – Details)
Publisher : Technics Publications, LLC; Third edition (March 19, 2012)
Language : English
Paperback : 162 pages
ISBN-10 : 1935504215
ISBN-13 : 978-1935504214
Item Weight : 1 pounds
Dimensions : 8 x 0.37 x 10 inches
In today’s fast-paced and ever-changing world, the importance of data and information management cannot be overstated. In the third edition of “Data and Reality: A Timeless Perspective on Perceiving and Managing Information in Our Imprecise World,” we delve deeper into the complexities of navigating the vast sea of data that surrounds us.In this edition, we explore the concept of data as a reflection of reality, and how our perceptions and interpretations of this data shape our understanding of the world around us. We also examine the challenges of managing and organizing this data in an increasingly digital and interconnected world.
With new case studies, updated research, and practical tips for information management, this edition offers a comprehensive guide for anyone looking to make sense of the data-driven world we live in. Whether you’re a student, a business professional, or simply a curious individual interested in the dynamics of information, this book is a must-read.
Join us on this journey as we explore the timeless principles of data and reality, and discover new ways to perceive and manage information in our imprecise world.
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