Data Compression for Data Mining Algorithms
$455.94
- Paperback
452 pages
- Release Date
29 May 2026
Summary
Data Compression for Data Mining Algorithms
This book tackles the important problems in the design of more efficient data mining algorithms by way of data compression techniques and provides the first systematic and comprehensive description of the relationships between data compression mechanisms and the computations involved in data mining algorithms.
Data mining algorithms are powerful analytical techniques used across various disciplines, including business, engineering,…
Book Details
| ISBN-13: | 9780443405419 |
|---|---|
| ISBN-10: | 0443405417 |
| Author: | Xiaochun Wang |
| Publisher: | Elsevier Science & Technology |
| Imprint: | Morgan Kaufmann Publishers In |
| Format: | Paperback |
| Number of Pages: | 452 |
| Release Date: | 29 May 2026 |
| Weight: | 450g |
| Dimensions: | 235mm x 191mm |
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About The Author
Xiaochun Wang
Dr. Xiaochun Wang received her BS degree from Beijing University and her MS degree in data compression and PhD degree in mobile robotics from the Department of Electrical Engineering and Computer Science at Vanderbilt University. She was an associate professor at the School of Software Engineering at Xi’an Jiaotong University and taught Database Management and Data Mining courses from 2010 to 2021. She currently works as a senior scientist at Xi’an Tuowei Hi-Tech Corporation. Her research interests include data mining, pattern recognition, signal processing, and computer vision.
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