Practical Data Mining Hardcover English by Monte F.Hancock Jr. - 1-Feb-12
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| Publisher | Taylor & Francis Ltd |
| ISBN 13 | 9781439868362 |
| ISBN 10 | 1439868360 |
| Author | Monte F.Hancock Jr. |
| Language | English |
| Book Description | Large-Scale Simulation: Models, Algorithms, and Applications gives you firsthand insight on the latest advances in large-scale simulation techniques. Most of the research results are drawn from the authors' papers in top-tier, peer-reviewed, scientific conference proceedings and journals. The first part of the book presents the fundamentals of large-scale simulation, including high-level architecture and runtime infrastructure. The second part covers middleware and software architecture for large-scale simulations, such as decoupled federate architecture, fault tolerant mechanisms, grid-enabled simulation, and federation communities. In the third part, the authors explore mechanisms-such as simulation cloning methods and algorithms-that support quick evaluation of alternative scenarios. The final part describes how distributed computing technologies and many-core architecture are used to study social phenomena. Reflecting the latest research in the field, this book guides you in using and further researching advanced models and algorithms for large-scale distributed simulation. These simulation tools will help you gain insight into large-scale systems across many disciplines. |
| Editorial Review | Achieves a unique and delicate balance between depth, breadth, and clarity. -Stefan Joe-Yen, Cognitive Research Engineer, Northrop Grumman Corporation & Adjunct Professor, Department of Computer Science, Webster University Used as a primer for the recent graduate or as a refresher for the grizzled veteran, Practical Data Mining is a must-have book for anyone in the field of data mining and analytics. -Chad Sessions, Program Manager, Advanced Analytics Group (AAG) |
| About the Author | Monte F. Hancock, Jr., BA, MS, is Chief Scientist for Celestech, Inc., which has offices in Falls Church, Virginia, and Phoenix, Arizona. He was also a Technical Fellow at Northrop Grumman; Chief Cognitive Research Scientist for CSI, Inc., and was a software architect and engineer at Harris corporation, and HRB Singer, Inc. He has over 30 years of industry experience in software engineering and data mining technology development. He is also Adjunct Full Professor of Computer Science for the Webster University Space Coast Region, where he serves as Program Mentor for the Master of Science Degree in Computer Science. Monte has served for 26 years on the adjunct faculty in the Mathematics and Computer Science Department of the Hamilton Holt School of Rollins College, Winter Park, Florida, and served 3 semesters as adjunct Instructor in Computer Science at Pennsylvania State University. Monte teaches secondary Mathematics, AP Physics, Chemistry, Logic, Western Philosophy, and Church History at New Covenant School, and New Testament Greek at Heritage Christian Academy, both in Melbourne, Florida. He was a mathematics curriculum developer for the Department of Continuing Education of the University of Florida in Gainesville, and serves on the Industry Advisory Panels in Computer Science for both the Florida Institute of Technology, and Brevard Community College in Melbourne, Florida. Monte has twice served on panels for the National Science Foundation. Monte has served on many program committees for international data mining conferences, was a Session Chair for KDD. He has presented 15 conference papers, edited several book chapters, and co-authored the book Data Mining Explained with Rhonda Delmater, Digital Press, 2001. Monte is cited in (among others): "Who's Who in the World" (2009-2012) "Who's Who in America" (2009-2012) "Who's Who in Science and Engineering" (2006-2012) "Who's Who in the Media and Communication" (1st ed.) "Who's Who in the South and Southwest" (23rd-25th ed.) "Who's Who Among America's Teachers" (2006, 2007) "Who's Who in Science and Theology" (2nd ed.) |
| Publication Date | 1-Feb-12 |
| Number of Pages | 304 |
Practical Data Mining Hardcover English by Monte F.Hancock Jr. - 1-Feb-12
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