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An Advanced Laboratory Manual of Organic Chemistry by Michael Heidelberger (Repost)
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Susan M Dusenbery, Andrew White, "The Washington Manual of Pediatrics (Spiral Manual Series)" (Repost)
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Infiniteskills - Microsoft Access 2010 Tutorial
Infiniteskills - Learning Visual Basic For Microsoft Access Tutorial
Infiniteskills - Advanced Microsoft Access 2010 Tutorial
-A Multigrid Tutorial- by William L. Briggs, Van Emden Henson, Steve F. McCormick
TrueFire Tommy Emmanuel Certified Gems Fingerstyle Guitar 2011 DVDR HYBRID TUTORiAL - REPoST
"Manual of Nerve Conduction Study and Surface Anatomy for Needle Electromyography" by Hang J. Lee, Joel A. DeLisa (Repost)
Ruby on Rails Tutorial: Learn Web Development with Rails (2nd edition)
Stanford Open Classrooms Courses Tutorial
The C++ Standard Library: A Tutorial and Reference (2nd Edition)
Visio 2010 - Basic, Student Manual
Accounting for Non-Accountants - A Manual for Managers and Students, 7th edition
JavaScript & jQuery - The Missing Manual, Second edition
Susan M Dusenbery, Andrew White, "The Washington Manual of Pediatrics (Spiral Manual Series)" (Repost)
Manual of Neonatal Respiratory Care (3rd edition)
Beppe Severgnini - Manuale dell'uomo domestico
Maya Training Tutorials - Maya Basics DVD
Maya Training Tutorials - Maya Lighting CD
Dreamweaver CS6 - The Missing Manual
Switching to the Mac - The Missing Manual, Lion Edition
Infiniteskills - Microsoft Access 2010 Tutorial
Infiniteskills - Learning Visual Basic For Microsoft Access Tutorial
Infiniteskills - Advanced Microsoft Access 2010 Tutorial
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Tutorial Managing and Mining Uncertain Data (Advances in Database Systems)
Posted on 2010-07-15
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More Charu C. Aggarwal, "Managing and Mining Uncertain Data (Advances in Database Systems)" Managing and Mining Uncertain Data, a survey with chapters by a variety of well known researchers in the data mining field, presents the most recent models, algorithms, and applications in the uncertain data mining field in a structured and concise way. This book is organized to make it more accessible to applications-driven practitioners for solving real problems. Also, given the lack of structurally organized information on this topic, Managing and Mining Uncertain Data provides insights which are not easily accessible elsewhere. Managing and Mining Uncertain Data is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a reference book for advanced-level students in computer science and engineering, as well as the ACM, IEEE, SIAM, INFORMS and AAAI Society groups. Download
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