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KDD
2000
ACM
129views Data Mining» more  KDD 2000»
15 years 10 months ago
Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing
Predictive models in direct marketing seek to identify individuals most likely to respond to promotional solicitations or other intervention programs. While standard modeling appr...
Siddhartha Bhattacharyya
VLDB
1998
ACM
112views Database» more  VLDB 1998»
15 years 11 months ago
Incremental Clustering for Mining in a Data Warehousing Environment
Data warehouses provide a great deal of opportunities for performing data mining tasks such as classification and clustering. Typically, updates are collected and applied to the d...
Martin Ester, Hans-Peter Kriegel, Jörg Sander...
CORR
2006
Springer
118views Education» more  CORR 2006»
15 years 6 months ago
Integration and mining of malaria molecular, functional and pharmacological data: how far are we from a chemogenomic knowledge s
The organization and mining of malaria genomic and post-genomic data is important to significantly increase the knowledge of the biology of its causative agents, and is motivated,...
L.-M. Birkholtz, Olivier Bastien, G. Wells, D. Gra...
AIME
2009
Springer
16 years 1 months ago
Mining Healthcare Data with Temporal Association Rules: Improvements and Assessment for a Practical Use
Abstract. The Regional Healthcare Agency (ASL) of Pavia has been maintaining a central data repository which stores healthcare data about the population of Pavia area. The analysis...
Stefano Concaro, Lucia Sacchi, Carlo Cerra, Pietro...
SIGMOD
2000
ACM
173views Database» more  SIGMOD 2000»
15 years 10 months ago
Efficient Algorithms for Mining Outliers from Large Data Sets
In this paper, we propose a novel formulation for distance-based outliers that is based on the distance of a point from its kth nearest neighbor. We rank each point on the basis o...
Sridhar Ramaswamy, Rajeev Rastogi, Kyuseok Shim