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IEAAIE
2009
Springer
15 years 10 months ago
Incremental Mining of Ontological Association Rules in Evolving Environments
The process of knowledge discovery from databases is a knowledge intensive, highly user-oriented practice, thus has recently heralded the development of ontology-incorporated data ...
Ming-Cheng Tseng, Wen-Yang Lin
IJCNN
2006
IEEE
15 years 10 months ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
145
Voted
VLDB
1998
ACM
120views Database» more  VLDB 1998»
15 years 8 months ago
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning
Classification is an important problem in data mining. Given a database of records, each with a class label, a classifier generates a concise and meaningful description for each c...
Rajeev Rastogi, Kyuseok Shim
COMPGEOM
1994
ACM
15 years 8 months ago
Computing Envelopes in Four Dimensions with Applications
Let F be a collection of n d-variate, possibly partially defined, functions, all algebraic of some constant maximum degree. We present a randomized algorithm that computes the vert...
Pankaj K. Agarwal, Boris Aronov, Micha Sharir
CHI
2007
ACM
15 years 8 months ago
Capturing, sharing, and using local place information
With new technology, people can share information about everyday places they go; the resulting data helps others find and evaluate places. Recent applications like Dodgeball and S...
Pamela J. Ludford, Reid Priedhorsky, Ken Reily, Lo...