Massive Computing

By: R.L. Grossman (Editor), C. Kamath (Editor), P. Kegelmeyer (Editor)

Write A Review

Paperback | 31 October 2001

At a Glance

Paperback
628 Pages

Dimensions(cm)
23.5 x 15.88 x 3.18

Paperback

$329.00

or 4 interest-free payments of $82.25 with

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 $89.00 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.

You Can Find This Book In

Non-Fiction Computing & I.T.Databases Data Mining Medicine Medicine in General Computer Science Image Processing Computer Programming & Software Development Algorithms & Data Structures Artificial Intelligence Mathematics

Probability & Statistics Engineering & Technology Technology in General Engineering in General Mathematical Theory of Computation Computer Security Data Encryption

Foreword
List of Contributors
List of Reviewers
Preface
On Mining Scientific Datasets
Understanding High Dimensional and Large Data Sets: Some Mathematical Challenges and Opportunities
Data Mining at the Interface of Computer Science and Statistics
Mining Large Image Collections
Mining Astronomical Databases
Searching for Bent-Double Galaxies in the First Survey
A Dataspace Infrastructure for Astronomical Data
Data Mining Applications in Bioinformatics
Mining Residue Contacts in Proteins
KDD Services at the Goodard Earth Sciences Distributed Archive Center
Data Mining in Integrated Data Access and Data Analysis Systems
Spatial Data Mining for Classification
Visualisation and Interpretation with Artmap Neural Network
Real Time Feature Extraction for the Analysis of Turbulent Flows
Data Mining for Turbulent Flows
Evita-Efficient Visualization and Interrogation of Tera-Scale Data
Towards Ubiquitous Mining of Distributed Data
Decomposable Algorithms for Data Mining
HDDI½: Hierarchical Distributed Dynamic Indexing
Parallel Algorithms for Clustering High-Dimensional Large-Scale Datasets
Efficient Clustering of Very Large Document Collections
A Scalable Hierarchical Algorithm for Unsupervised Clustering
High-Performance Singular Value Decomposition
Mining High-Dimensional Scientific Data Sets Using Singular Value Decomposition
Spatial Dependence in Data Mining
Sparc: Spatial Association Rule-Based Classification
What's Spatial About Spatial Data Mining: Three Case Studies
Predicting Failures in Event Sequences
Efficient Algorithms for Mining Long Patterns in Scientific Data Sets
Probabilistic Estimation in Data Mining
Classification Using Association Rules: Weaknesses and Enhancements
Table of Contents provided by Publisher. All Rights Reserved.

Massive Computing

At a Glance

Paperback

Shipping

How to return your order

Defective items

You Can Find This Book In

More in Mathematical Theory of Computation

Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers

16th International Workshop, STACOM 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Revised Selected Papers

AI Engineering

Building Applications with Foundation Models

Discrete Mathematics for Computing

Grassroots

Algorithms in C, Parts 1-4

3rd Edition - Fundamentals, Data Structures, Sorting, Searching

Swim Training Patterns

1st Edition - Plan your Training Sessions with the Power of Mathematics

Beading With Algorithms

Cellular Automata In Peyote Stitch

Effective Machine Learning Teams

Best Practices for ML Practitioners

Mathematical Foundations of Deep Learning

Theory and Algorithms

Mathematical Foundations of Deep Learning

Theory and Algorithms

Nonlinear Analysis for Human Movement Variability

Theory of Computation for Software Developers

Mining Complex Networks

Advances in Applied Mathematics

Mining Complex Networks

Advances in Applied Mathematics

Zhang Time Discretization (ZTD) Formulas and Applications

Metaheuristic Algorithms

Theory and Practice

Introduction to Modern Cryptography

Revised Third Edition

Machine Learning Interviews

Kickstart Your Machine Learning and Data Career

Mathematics and Intelligent Systems in Industry

MISI'25 Conference, Safi, Morocco, July 9â"10, 2025

Scientific Computing and Software

Go20 CSCS, Ghajnsielem, Malta, May 20-24, 2024

Python Essentials

Symbolic and Numeric Problem-Solving in Engineering

Beading with Algorithms

Cellular Automata in Peyote Stitch

Linear Algebra with Applications in Machine Learning

From Intuitive Understanding to Python Coding

Guide to Graph Algorithms

Sequential, Parallel and Distributed

Introduction to Numerical Mathematics

Theory, Practice and Numerous Examples

This product is categorised by