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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 3 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
KDD
2005
ACM
106views Data Mining» more  KDD 2005»
14 years 3 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
KELSI
2004
Springer
14 years 3 months ago
Improving Rule Induction Precision for Automated Annotation by Balancing Skewed Data Sets
There is an overwhelming increase in submissions to genomic databases, posing a problem for database maintenance, especially regarding annotation of fields left blank during submi...
Gustavo E. A. P. A. Batista, Maria Carolina Monard...
WKDD
2010
CPS
204views Data Mining» more  WKDD 2010»
14 years 3 months ago
A Scalable, Accurate Hybrid Recommender System
—Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of...
Mustansar Ali Ghazanfar, Adam Prügel-Bennett
HICSS
2003
IEEE
215views Biometrics» more  HICSS 2003»
14 years 2 months ago
A Field Study of Use of Synchronous Chat in Online Courses
A field study of Computer Mediated Communication (CMC) as used in higher education asks the questions, "Will students take part in synchronous chat sessions if they are sched...
David H. Spencer, Starr Roxanne Hiltz