Add to ORKG@inproceedings{CI-DURAND-2002, author = {Durand, N. and Crémilleux, B}, title = {ECCLAT: a New Approach of Clusters Discovery in Categorical Data}, booktitle = {22nd SGAI International Conference on Knowledge Based Systems and Applied Artificial Intelligence (ES'02), BCS Conference Series}, pages = {177-190}, year = {2002}, address = {Cambridge, UK}, publisher = {Springer}, month = {December} }International audienc
Abstract: Clustering is a partition of data into a group of similar or dissimilar data points and ea...
The contents of this report were presented during ACT 2019 (Applied Category Theory 2019), held in O...
The contents of this report were presented during ACT 2019 (Applied Category Theory 2019), held in O...
@inproceedings{CI-DURAND-2002, author = {Durand, N. and Crémilleux, B}, title = {ECCLAT: a New Appro...
In this paper we present a new approach for the discovery of meaningful clusters from large categori...
@inproceedings{CI-DURAND-2003, author = {Durand, N. and Lancieri, L. and Crémilleux, C.}, title = {R...
@inproceedings{CI-DURAND-2003, author = {Durand, N. and Lancieri, L. and Crémilleux, C.}, title = {R...
@inproceedings{AI-DURAND-2002, author = {Durand, N. and Crémilleux, B.}, title = {Extraction of a Su...
@inproceedings{CI-DURAND-2006, author = {Durand, N. and Crémilleux, B. and Suzuki, E.}, title = {Vis...
@inproceedings{CI-DURAND-2006, author = {Durand, N. and Crémilleux, B. and Suzuki, E.}, title = {Vis...
10 Clustering is an important data mining problem. However, most earlier work on clustering focused ...
Copyright: © 2009 Hussain T, et al. This is an open-access article distributed under the terms of t...
Clustering is an important tool for data mining, since it can identify major patterns or trends wit...
@inproceedings{AI-CREMILLEUX-2002-2, author = {Robardet, C. and Crémilleux, B. and Boulicaut, J-F.},...
@inproceedings{AI-CREMILLEUX-2002-2, author = {Robardet, C. and Crémilleux, B. and Boulicaut, J-F.},...
Abstract: Clustering is a partition of data into a group of similar or dissimilar data points and ea...
The contents of this report were presented during ACT 2019 (Applied Category Theory 2019), held in O...
The contents of this report were presented during ACT 2019 (Applied Category Theory 2019), held in O...
@inproceedings{CI-DURAND-2002, author = {Durand, N. and Crémilleux, B}, title = {ECCLAT: a New Appro...
In this paper we present a new approach for the discovery of meaningful clusters from large categori...
@inproceedings{CI-DURAND-2003, author = {Durand, N. and Lancieri, L. and Crémilleux, C.}, title = {R...
@inproceedings{CI-DURAND-2003, author = {Durand, N. and Lancieri, L. and Crémilleux, C.}, title = {R...
@inproceedings{AI-DURAND-2002, author = {Durand, N. and Crémilleux, B.}, title = {Extraction of a Su...
@inproceedings{CI-DURAND-2006, author = {Durand, N. and Crémilleux, B. and Suzuki, E.}, title = {Vis...
@inproceedings{CI-DURAND-2006, author = {Durand, N. and Crémilleux, B. and Suzuki, E.}, title = {Vis...
10 Clustering is an important data mining problem. However, most earlier work on clustering focused ...
Copyright: © 2009 Hussain T, et al. This is an open-access article distributed under the terms of t...
Clustering is an important tool for data mining, since it can identify major patterns or trends wit...
@inproceedings{AI-CREMILLEUX-2002-2, author = {Robardet, C. and Crémilleux, B. and Boulicaut, J-F.},...
@inproceedings{AI-CREMILLEUX-2002-2, author = {Robardet, C. and Crémilleux, B. and Boulicaut, J-F.},...
Abstract: Clustering is a partition of data into a group of similar or dissimilar data points and ea...
The contents of this report were presented during ACT 2019 (Applied Category Theory 2019), held in O...
The contents of this report were presented during ACT 2019 (Applied Category Theory 2019), held in O...