A Survey of Methods for Scaling Up Inductive Algorithms (1999)
Foster Provost, Venkateswarlu Kolluri
. 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 compares existing work...
A Survey of Methods for Scaling Up Inductive Algorithms (1999)
Foster Provost, Venkateswarlu Kolluri, Usama Fayyad
. One of the defining challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. By collecting, categorizing, and summarizing existing work on...
Scaling Up inductive algorithms: An overview (1997)
Foster Provost, Venkateswarlu Kolluri
This paper establishes common ground for researchers addressing the challenge of scaling up inductive data mining algorithms to very large databases, and for practitioners who want to understand the...
A Survey of Methods for Scaling Up Inductive Learning Algorithms (1997)
Foster J. Provost, Venkateswarlu Kolluri, Foster Provost
: Each year, one of the explicit challenges for the KDD research community is to develop methods that facilitate the use of inductive learning algorithms for mining very large databases. By...
The WoRLD: Knowledge Discovery from Multiple Distributed Databases (1997)
John M. Aronis, Venkateswarlu Kolluri, Foster J. Provost, Bruce G. Buchanan
Inductive machine learning offers techniques for discovering new knowledge from business, medical, and scientific databases. Most techniques assume that all the relevant information for discovery has...