Rough Sets and Data Mining
T. Y. Lin
Reading Time
at 250 WPM7h 32m
The average reader, reading at a speed of 250 WPM, would take 7h 32m to read Rough Sets and Data Mining.
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16
days at 30 min/day
452
total minutes
Rough Sets and Data Mining
by T. Y. Lin
Published
1996
Publisher
Island Press
Pages
452
ISBN-13
9781461314622
Description
<Em>Rough Sets and Data Mining: Analysis of Imprecise Data</em> is an edited collection of research chapters on the most recent developments in rough set theory and data mining. The chapters in this work cover a range of topics that focus on discovering dependencies among data, and reasoning about vague, uncertain and imprecise information. The authors of these chapters have been careful to include fundamental research with explanations as well as coverage of rough set tools that can be used for mining data bases. <br/> The contributing authors consist of some of the leading scholars in the fields of rough sets, data mining, machine learning and other areas of artificial intelligence. Among the list of contributors are Z. Pawlak, J Grzymala-Busse, K. Slowinski, and others. <br/> <em>Rough Sets and Data Mining: Analysis of Imprecise Data</em> will be a useful reference work for rough set researchers, data base designers and developers, and for researchers new to the areas of data mining and rough sets.
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Frequently Asked Questions
How many pages are in Rough Sets and Data Mining?
This edition of Rough Sets and Data Mining has approximately 452 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Rough Sets and Data Mining?
For most readers, Rough Sets and Data Mining typically takes between 9h 25m and 6h 17m to complete. This is based on the book's length of approximately 113,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 7h 32m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 16 days • Estimated word count: 113,000 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Rough Sets and Data Mining?
The estimated word count for Rough Sets and Data Mining is approximately 113,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Rough Sets and Data Mining?
Rough Sets and Data Mining was written by T. Y. Lin.
When was Rough Sets and Data Mining published?
The publication date for this specific edition is 1996. The original work may have been published on a different date.