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ACMICEC
2007
ACM
133views ECommerce» more  ACMICEC 2007»
15 years 11 months ago
Data acquisition and cost-effective predictive modeling: targeting offers for electronic commerce
Electronic commerce is revolutionizing the way we think about data modeling, by making it possible to integrate the processes of (costly) data acquisition and model induction. The...
Foster J. Provost, Prem Melville, Maytal Saar-Tsec...
CINQ
2004
Springer
116views Database» more  CINQ 2004»
15 years 10 months ago
Contribution to Gene Expression Data Analysis by Means of Set Pattern Mining
Abstract. One of the exciting scientific challenges in functional genomics concerns the discovery of biologically relevant patterns from gene expression data. For instance, it is e...
Ruggero G. Pensa, Jérémy Besson, C&e...
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
DMIN
2008
152views Data Mining» more  DMIN 2008»
15 years 8 months ago
PCS: An Efficient Clustering Method for High-Dimensional Data
Clustering algorithms play an important role in data analysis and information retrieval. How to obtain a clustering for a large set of highdimensional data suitable for database ap...
Wei Li 0011, Cindy Chen, Jie Wang
IJCAI
2007
15 years 8 months ago
Parametric Kernels for Sequence Data Analysis
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
Young-In Shin, Donald S. Fussell