From data mining to knowledge discovery in databases U Fayyad, G Piatetsky-Shapiro, P Smyth AI magazine 17 (3), 37-37, 1996 | 20906* | 1996 |
Multi-interval discretization of continuous-valued attributes for classification learning UM Fayyad, KB Irani Ijcai 93 (2), 1022-1029, 1993 | 4562 | 1993 |
The KDD process for extracting useful knowledge from volumes of data U Fayyad, G Piatetsky-Shapiro, P Smyth Communications of the ACM 39 (11), 27-34, 1996 | 3675 | 1996 |
Knowledge Discovery and Data Mining: Towards a Unifying Framework. UM Fayyad, G Piatetsky-Shapiro, P Smyth KDD 96, 82-88, 1996 | 2015 | 1996 |
Refining initial points for k-means clustering. PS Bradley, UM Fayyad ICML 98, 91-99, 1998 | 1909 | 1998 |
On the handling of continuous-valued attributes in decision tree generation UM Fayyad, KB Irani Machine learning 8, 87-102, 1992 | 1130 | 1992 |
Information visualization in data mining and knowledge discovery UM Fayyad, GG Grinstein, A Wierse Morgan Kaufmann, 2002 | 1007 | 2002 |
Hierarchical clustering algorithms for document datasets Y Zhao, G Karypis, U Fayyad Data mining and knowledge discovery 10, 141-168, 2005 | 943 | 2005 |
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96) M Ester, HP Kriegel, J Sander, X Xu, E Simoudis, J Han, U Fayyad kdd 96, 226-231, 1996 | 468 | 1996 |
Inferring ground truth from subjective labelling of venus images P Smyth, U Fayyad, M Burl, P Perona, P Baldi Advances in neural information processing systems 7, 1994 | 408 | 1994 |
The attribute selection problem in decision tree generation UM Fayyad, KB Irani Proceedings of the tenth national conference on Artificial intelligence, 104-110, 1992 | 377 | 1992 |
Mathematical programming for data mining: Formulations and challenges PS Bradley, UM Fayyad, OL Mangasarian INFORMS Journal on Computing 11 (3), 217-238, 1999 | 376 | 1999 |
Smyth PS Fayyad, G Piatetsky-Shapiro From Data Mining to Knowledge Discovery: An Overview", in Fayyad, Piatetsky …, 1996 | 372* | 1996 |
Evolving data into mining solutions for insights U Fayyad, R Uthurusamy Communications of the ACM 45 (8), 28-31, 2002 | 369 | 2002 |
Data mining and KDD: Promise and challenges U Fayyad, P Stolorz Future generation computer systems 13 (2-3), 99-115, 1997 | 361 | 1997 |
Initialization of Iterative Refinement Clustering Algorithms. UM Fayyad, C Reina, PS Bradley KDD, 194-198, 1998 | 310 | 1998 |
Mining scientific data U Fayyad, D Haussler, P Stolorz Communications of the ACM 39 (11), 51-57, 1996 | 292 | 1996 |
Scaling EM (expectation-maximization) clustering to large databases PS Bradley, U Fayyad, C Reina Microsoft Research, 0-25, 1998 | 281 | 1998 |
Density-based indexing method for efficient execution of high dimensional nearest-neighbor queries on large databases U Fayyad, KP Bennett, D Geiger US Patent 6,263,334, 2001 | 272 | 2001 |
Automating the analysis and cataloging of sky surveys UM Fayyad, SG Djorgovski, N Weir Advances in knowledge discovery and data mining, 471-493, 1996 | 256 | 1996 |