Data Mining for Scientific and Engineering Applications

By: Chandrika Kamath, Philip Kegelmeyer, Robert L. Grossman

Write A Review

Hardcover | 31 October 2001

At a Glance

Hardcover
632 Pages

Dimensions(cm)
24.13 x 17.15 x 3.81

Hardcover

$329.75

or 4 interest-free payments of $82.44 with

or

Ships in 5 to 7 business days

Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. To find useful information in these data sets, scientists and engineers are turning to data mining techniques. This book is a collection of papers based on the first two in a series of workshops on mining scientific datasets. It illustrates the diversity of problems and application areas that can benefit from data mining, as well as the issues and challenges that differentiate scientific data mining from its commercial counterpart. While the focus of the book is on mining scientific data, the work is of broader interest as many of the techniques can be applied equally well to data arising in business and web applications.
Audience: This work would be an excellent text for students and researchers who are familiar with the basic principles of data mining and want to learn more about the application of data mining to their problem in science or engineering.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.

Defective items

If there is a problem with any of the items received for your order then the Booktopia Customer Care team is ready to assist you.

For more info please visit our Help Centre.

More in Databases

Microsoft Power BI For Dummies : For Dummies (Computer/Tech) - Jack A. Hyman

$55.75

26%
OFF

SPSS Survival Manual : 7th Edition - A step by step guide to data analysis using IBM SPSS - Julie Pallant

$167.99

12%
OFF

Proceedings of the International Symposium on Intelligent Computing and Networking 2025 : ISICN 2025 - Manuel Rodriguez Martinez

$92.99

The Data Science and Psychology - Alisha Attella

$29.95

14%
OFF

Microsoft Excel 365 Bible

Bible

Paperback

RRP $90.95

$65.75

28%
OFF

The Data Warehouse Toolkit 3ed

The Definitive Guide to Dimensional Modeling

Paperback

RRP $104.95

$67.75

35%
OFF

Microsoft Power BI For Dummies

For Dummies (Computer/Tech)

Paperback

RRP $60.95

$45.75

25%
OFF

Social Research Methods

4th Edition

Paperback

RRP $101.95

$87.75

14%
OFF

Mindf*ck

Inside Cambridge Analytica's Plot to Break the World

Paperback

RRP $24.99

$21.75

13%
OFF

Hands-On Programming with R

Write Your Own Functions and Simulations

Paperback

RRP $76.00

$39.75

48%
OFF

Data Analytics for Accounting ISE

3rd Edition

Paperback

RRP $169.95

$146.75

14%
OFF

Microsoft 365 Access For Dummies

Access for Dummies

Paperback

RRP $49.95

$38.75

22%
OFF

Designing Data-Intensive Applications

Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Paperback

RRP $114.00

$55.75

51%
OFF

Deep Learning for Coders with fastai and PyTorch

AI Applications Without a PhD

Paperback

RRP $152.00

$73.75

51%
OFF

Don't Make Me Think, Revisited

A Common Sense Approach to Web Usability

Paperback

RRP $73.45

$53.75

27%
OFF

Foreword
List of Contributors
List of Reviewers
Preface
On Mining Scientific Datasets	p. 1
Understanding High Dimensional and Large Data Sets: Some Mathematical Challenges and Opportunities	p. 23
Data Mining at the Interface of Computer Science and Statistics	p. 35
Mining Large Image Collections	p. 63
Mining Astronomical Databases	p. 85
Searching for Bent-Double Galaxies in the First Survey	p. 95
A Dataspace Infrastructure for Astronomical Data	p. 115
Data Mining Applications in Bioinformatics	p. 125
Mining Residue Contacts in Proteins	p. 141
KDD Services at the Gooddard Earth Sciences Distributed Archive Center	p. 165
Data Mining in Integrated Data Access and Data Analysis Systems	p. 183
Spatial Data Mining for Classification, Visualisation and Interpretation with Artmap Neural Network	p. 201
Real Time Feature Extraction for the Analysis of Turbulent Flows	p. 223
Data Mining for Turbulent Flows	p. 239
Evita-Efficient Visualization and Interrogation of Tera-Scale Data	p. 257
Towards Ubiquitous Mining of Distributed Data	p. 281
Decomposable Algorithms for Data Mining	p. 307
HDDI: Hierarchical Distributed Dynamic Indexing	p. 319
Parallel Algorithms for Clustering High-Dimensional Large-Scale Datasets	p. 335
Efficient Clustering of Very Large Document Collections	p. 357
A Scalable Hierarchical Algorithm for Unsupervised Clustering	p. 383
High-Performance Singular Value Decomposition	p. 401
Mining High-Dimensional Scientific Data Sets Using Singular Value Decomposition	p. 425
Spatial Dependence in Data Mining	p. 439
Sparc: Spatial Association Rule-Based Classification	p. 461
What's Spatial About Spatial Data Mining: Three Case Studies	p. 487
Predicting Failures in Event Sequences	p. 515
Efficient Algorithms for Mining Long Patterns in Scientific Data Sets	p. 541
Probabilistic Estimation in Data Mining	p. 567
Classification Using Association Rules: Weaknesses and Enhancements	p. 591
Table of Contents provided by Blackwell. All Rights Reserved.

Data Mining for Scientific and Engineering Applications

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback