Scientific discovery: computational explorations of the creative process
Scientific discovery: computational explorations of the creative process
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Data Engineering - Special issue on directions for future DBMS research and development
Practitioner problems in need of database research
ACM SIGMOD Record
C4.5: programs for machine learning
C4.5: programs for machine learning
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Knowledge Discovery in Databases
Knowledge Discovery in Databases
Learning Logical Definitions from Relations
Machine Learning
Machine Learning
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Database Mining: A Performance Perspective
IEEE Transactions on Knowledge and Data Engineering
Efficient Similarity Search In Sequence Databases
FODO '93 Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms
An Interval Classifier for Database Mining Applications
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
Knowledge Discovery in Databases: An Attribute-Oriented Approach
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
DBMS Research at a Crossroads: The Vienna Update
VLDB '93 Proceedings of the 19th International Conference on Very Large Data Bases
Data Mining: the search for knowledge in databases.
Data Mining: the search for knowledge in databases.
Perspectives on database theory
ACM SIGACT News
STPMiner: a highperformance spatiotemporal pattern mining toolbox
Proceedings of the 2nd international workshop on Petascal data analytics: challenges and opportunities
| Hi-index | 0.00 |
We view database mining as the efficient construction and verification of models of patterns embedded in large databases. Many of the database mining problems have been motivated by the practical decision support problems faced by most large retail organizations. In the Quest project at the IBM Almaden Research center, we have focussed on three classes of database mining problems involving classification, associations, and sequences. In this tutorial, I will draw upon my Quest experience to present my perspective of database mining, describe current work, and present some open problems.