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» Introduction to Data Mining and Knowledge Discovery
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SIGKDD
2000
237views more  SIGKDD 2000»
13 years 9 months ago
The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation
Advances in data collection and storage have allowed organizations to create massive, complex and heterogeneous databases, which have stymied traditional methods of data analysis....
Stephen D. Bay, Dennis F. Kibler, Michael J. Pazza...
ADVIS
2004
Springer
14 years 3 months ago
Incremental Association Rule Mining Using Materialized Data Mining Views
Data mining is an interactive and iterative process. Users issue series of similar queries until they receive satisfying results, yet currently available data mining systems do not...
Mikolaj Morzy, Tadeusz Morzy, Zbyszko Króli...
ECIS
2000
13 years 11 months ago
Enhancing Government Decision Making Through Knowledge Discovery from Data
- A major challenge facing management in developed countries is improving the performance of knowledge and service workers, i.e. the decision makers. In a developing country such a...
Herna L. Viktor, Heidi Arndt, Mauritz Oberholzer
IPPS
2007
IEEE
14 years 4 months ago
Knowledge and Cache Conscious Algorithm Design and Systems Support for Data Mining Algorithms
The knowledge discovery process is interactive in nature and therefore minimizing query response time is imperative. The compute and memory intensive nature of data mining algorit...
Amol Ghoting, Gregory Buehrer, Matthew Goyder, Shi...
KDD
2003
ACM
113views Data Mining» more  KDD 2003»
14 years 10 months ago
Using randomized response techniques for privacy-preserving data mining
Privacy is an important issue in data mining and knowledge discovery. In this paper, we propose to use the randomized response techniques to conduct the data mining computation. S...
Wenliang Du, Zhijun Zhan