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KDD
2005
ACM
106views Data Mining» more  KDD 2005»
15 years 7 months ago
Enhancing the lift under budget constraints: an application in the mutual fund industry
A lift curve, with the true positive rate on the y-axis and the customer pull (or contact) rate on the x-axis, is often used to depict the model performance in many data mining ap...
Lian Yan, Michael Fassino, Patrick Baldasare
SDM
2010
SIAM
226views Data Mining» more  SDM 2010»
15 years 3 months ago
Two-View Transductive Support Vector Machines
Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications, especially for Internet classification tasks like review spam...
Guangxia Li, Steven C. H. Hoi, Kuiyu Chang
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 2 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
85
Voted
IDEAL
2009
Springer
15 years 8 months ago
Clustering with XCS and Agglomerative Rule Merging
Abstract. In this paper, we present a more effective approach to clustering with eXtended Classifier System (XCS) which is divided into two phases. The first phase is the XCS le...
Liangdong Shi, Yinghuan Shi, Yang Gao
116
Voted
PROCEDIA
2010
157views more  PROCEDIA 2010»
15 years 8 days ago
Recommender system for predicting student performance
Recommender systems are widely used in many areas, especially in e-commerce. Recently, they are also applied in e-learning tasks such as recommending resources (e.g. papers, books...
Nguyen Thai-Nghe, Lucas Drumond, Artus Krohn-Grimb...