Data mining techniques
Michael J. A Berry
Reading Time
at 250 WPM10h 43m
The average reader, reading at a speed of 250 WPM, would take 10h 43m to read Data mining techniques.
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22
days at 30 min/day
643
total minutes
Data mining techniques
Published
2004
Publisher
Wiley Pub.
Pages
643
ISBN-10
0471470643
Description
Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems Each chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer support The authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data mining More advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data mining Covers core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis
Subjects
Frequently Asked Questions
How many pages are in Data mining techniques?
This edition of Data mining techniques has approximately 643 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 Data mining techniques?
For most readers, Data mining techniques typically takes between 13h 24m and 8h 56m to complete. This is based on the book's length of approximately 160,750 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 10h 43m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 22 days • Estimated word count: 160,750 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 Data mining techniques?
The estimated word count for Data mining techniques is approximately 160,750 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 Data mining techniques?
Data mining techniques was written by Michael J. A Berry.
When was Data mining techniques published?
The publication date for this specific edition is 2004. The original work may have been published on a different date.