Item description for LIFE SoftcoverIENCE DATA MINING (Science, Engineering, and Biology Informatics) by Stephen Wong...
This timely book identifies and highlights the latest data mining paradigms to analyze, combine, integrate, model and simulate vast amounts of heterogeneous multi-modal, multi-scale data for emerging real-world applications in life science.
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Studio: World Scientific Publishing
Est. Packaging Dimensions: Length: 9" Width: 5.9" Height: 0.8" Weight: 1.05 lbs.
Release Date Dec 29, 2006
Publisher World Scientific Publishing
ISBN 9812700641 ISBN13 9789812700643
Availability 0 units.
More About Stephen Wong
Stephen Wong, a lifelong collector of rare and historically significant artifacts, spent two and a half years researching his top-selling adult book smithsonian baseball: Inside the World's Finest Private Collections. Wong has advised a number of the world's top collectors and is currently lending his expertise to an upcoming exhibition at the Chicago Historical Society celebrating the glory days of Chicago Cubs and White Sox baseball in the early twentieth century. He is also an advisory director for the Museum of the City of New York's summer 2007 exhibit "The Glory Days: New York Baseball, 1947-1957" and an honorary committee member for the city of Pittsfield and the Berkshire Museum's "1791--Art of the Game--Pittsfield," a two-year celebration of Pittsfield's unique place in baseball history. A graduate of Stanford Law School, Wong is currently an executive director at Goldman Sachs. He was raised in the San Francisco Bay Area and now lives in Hong Kong.
Stephen Wong currently resides in Vancouver. Stephen Wong was born in 1955.
Reviews - What do customers think about LIFE SCIENCE DATA MINING (Science, Engineering, and Biology Informatics)?
A New Emerging Technique Feb 19, 2007
The science, or perhaps art, of data mining has received a lot of notice in the business world as ways to do specialized marketing to previous customers. In this book editors Wong (Harvard Medical School) and Li (IBM) have collected a series of chapters on the application of data mining techniques in the field of life sciences.
The particular applications showing promise include:
bio-surveillance disease outbreak detection high throughput bioimaging drug screening preidtive toxicology biosensors and more.
This is a brand new field offering some tremendous opportunities to provide for finding breakthroughs in the identification of problem areas within the normal data being collected for other reasons. This book is the first to discuss this cutting edge technology, still in the formative stages, but rapidly moving into the main stream.