M
Micheline Kamber
Researcher at Simon Fraser University
Publications - 29
Citations - 26760
Micheline Kamber is an academic researcher from Simon Fraser University. The author has contributed to research in topics: Data warehouse & Data classification. The author has an hindex of 17, co-authored 29 publications receiving 26591 citations.
Papers
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Book
Data Mining: Concepts and Techniques
TL;DR: This book presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects, and provides a comprehensive, practical look at the concepts and techniques you need to get the most out of real business data.
The Morgan Kaufmann Series in Data Management Systems
Jim Gray,Mamdouh Refaat,Jim Melton,Stephen Buxton,Jiawei Han,Micheline Kamber,Toby J. Teorey,Sam Lightstone,Hanan Samet,Joe Celko,Markus Schneider,Gerhard Weikum,Gottfried Vossen,Philippe Rigaux,Michel Scholl,Klaus R. Dittrich,Malcolm Chisholm,Andrew Eisenberg,Joseph M. Hellerstein,V. S. Subrahmanian,Philip A. Bernstein,Eric Newcomer +21 more
TL;DR: In this article, the most significant algorithms and impossibility results in the area of distributed algorithms are presented in a simple automata-theoretic setting, and their complexity is analyzed according to precisely defined complexity measures.
Model-Based 3-D Segmentation of Multiple Sclerosis Lesions in Magnetic Resonance Brain
TL;DR: In this paper, a brain tissue probability model was used for segmentation of multiple sclerosis (MS) lesions in magnetic resonance (MR) brain images, and an empirical comparison of the performance of statistical and decision tree classifiers, applied to MS lesion segmentation.