tailieunhanh - Ebook Data Mining Practical Machine Learning Tools and Techniques

Ebook "Data Mining Practical Machine Learning Tools and Techniques" present on: Machine learning tools and techniques, The Weka machine learning workbench,. Invite you to consult. Hope content useful document serves the academic needs and research. | Practical Machine Learning Tools and Techniques Data Mining Practical Machine Learning Tools and Techniques The Morgan Kaufmann Series in Data Management Systems Series Editor Jim Gray Microsoft Research Data Mining Practical Machine Learning Tools and Techniques Second Edition Ian H. Witten and Eibe Frank Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration Earl Cox Data Modeling Essentials Third Edition Graeme C. Simsion and Graham C. Witt Location-Based Services Jochen Schiller and Agnès Voisard Database Modeling with Microsoft Visio for Enterprise Architects Terry Halpin Ken Evans Patrick Hallock and Bill Maclean Designing Data-Intensive Web Applications Stefano Ceri Piero Fraternali Aldo Bongio Marco Brambilla Sara Comai and Maristella Matera Mining the Web Discovering Knowledge from Hypertext Data Soumen Chakrabarti Advanced SQL 1999 Understanding Object-Relational and Other Advanced Features Jim Melton Database Tuning Principles Experiments and Troubleshooting Techniques Dennis Shasha and Philippe Bonnet SQL 1999 Understanding Relational Language Components Jim Melton and Alan R. Simon Information Visualization in Data Mining and Knowledge Discovery Edited by Usama Fayyad Georges G. Grinstein and Andreas Wierse Transactional Information Systems Theory Algorithms and the Practice of Concurrency Control and Recovery Gerhard Weikum and Gottfried Vossen Spatial Databases With Application to GIS Philippe Rigaux Michel Scholl and Agnès Voisard Information Modeling and Relational Databases From Conceptual Analysis to Logical Design Terry Halpin Component Database Systems Edited by Klaus R. Dittrich and Andreas Geppert Managing Reference Data in Enterprise Databases Binding Corporate Data to the Wider World Malcolm Chisholm Data Mining Concepts and Techniques Jiawei Han and Micheline Kamber Understanding SQL and Java Together A Guide to SQLJ JDBC and Related Technologies Jim Melton and Andrew Eisenberg Database Principles Programming and Performance