Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Efficiently mining long patterns from databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: building competitive advantage
Data mining: building competitive advantage
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
| Hi-index | 0.01 |
Data mining is the extraction of implicit, previously unknown, and potentially useful information from data. Advances in information technology and data collection methods have led to the availability of large data sets in commercial enterprises and in a wide variety of scientific and engineering disciplines. We have an unprecedented opportunity to analyze this data and extract intelligent and useful information. Traditionally, machine learning is a part of the Artificial Intelligence course. Up to now, not many colleges are offering specialized courses in data mining. In this paper, we present our experience at teaching our first experimental course in data mining.