Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse …
Mining frequent patterns in transaction databases, time-series databases, and many other kinds of databases has been studied popularly in data mining research. Most of the previous …
Data mining is the discovery of interesting, unexpected or valuable structures in large datasets. As such, it has two rather different aspects. One of these concerns large …
J Han, J Pei, Y Yin, R Mao - Data mining and knowledge discovery, 2004 - Springer
Mining frequent patterns in transaction databases, time-series databases, and many other kinds of databases has been studied popularly in data mining research. Most of the previous …
The intent of this book is to describe some recent data mining tools that have proven effective in dealing with data sets which often involve unc-tain description or other …
Database Management Systems provides comprehensive and up-to-date coverage of the fundamentals of database systems. Coherent explanations and practical examples have …
S Zhang, X Wu - Wiley Interdisciplinary Reviews: Data Mining …, 2011 - Wiley Online Library
Association rule mining is one of the fundamental research topics in data mining and knowledge discovery that identifies interesting relationships between itemsets in datasets …
JM Hellerstein, M Stonebraker… - … and Trends® in …, 2007 - nowpublishers.com
Abstract Database Management Systems (DBMSs) are a ubiquitous and critical component of modern computing, and the result of decades of research and development in both …
F Provost, V Kolluri - Data mining and knowledge discovery, 1999 - Springer
One of the defining challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. This paper summarizes, categorizes, and …