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DEXAW
1999
IEEE
97views Database» more  DEXAW 1999»
15 years 11 months ago
Mining Several Data Bases with an Ensemble of Classifiers
The results of knowledge discovery in databases could vary depending on the data mining method. There are several ways to select the most appropriate data mining method dynamicall...
Seppo Puuronen, Vagan Y. Terziyan, Alexander Logvi...
202
Voted
PAKDD
1998
ACM
103views Data Mining» more  PAKDD 1998»
15 years 11 months ago
Discovering Case Knowledge Using Data Mining
The use of Data Mining in removing current bottlenecks within Case-based Reasoning (CBR) systems is investigated along with the possible role of CBR in providing a knowledge manag...
Sarabjot S. Anand, David W. Patterson, John G. Hug...
195
Voted
KDD
2000
ACM
121views Data Mining» more  KDD 2000»
15 years 10 months ago
Mining high-speed data streams
Many organizations today have more than very large databases; they have databases that grow without limit at a rate of several million records per day. Mining these continuous dat...
Pedro Domingos, Geoff Hulten
KDD
1995
ACM
67views Data Mining» more  KDD 1995»
15 years 10 months ago
A Perspective on Databases and Data Mining
We discuss the use of database met hods for data mining. Recently impressive results have been achieved for some data mining problems using highly specialized and clever data stru...
Marcel Holsheimer, Martin L. Kersten, Heikki Manni...
201
Voted
KDD
2004
ACM
159views Data Mining» more  KDD 2004»
16 years 7 days ago
Optimal randomization for privacy preserving data mining
Randomization is an economical and efficient approach for privacy preserving data mining (PPDM). In order to guarantee the performance of data mining and the protection of individ...
Michael Yu Zhu, Lei Liu