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HICSS
2009
IEEE
144views Biometrics» more  HICSS 2009»
14 years 2 months ago
Privacy Preserving Decision Tree Mining from Perturbed Data
Privacy preserving data mining has been investigated extensively. The previous works mainly fall into two categories, perturbation and randomization based approaches and secure mu...
Li Liu, Murat Kantarcioglu, Bhavani M. Thuraisingh...
SIGIR
2011
ACM
12 years 10 months ago
Functional matrix factorizations for cold-start recommendation
A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start recommendation. Recently the idea of progressivel...
Ke Zhou, Shuang-Hong Yang, Hongyuan Zha
ICML
2003
IEEE
14 years 8 months ago
Decision-tree Induction from Time-series Data Based on a Standard-example Split Test
This paper proposes a novel decision tree for a data set with time-series attributes. Our time-series tree has a value (i.e. a time sequence) of a time-series attribute in its int...
Yuu Yamada, Einoshin Suzuki, Hideto Yokoi, Katsuhi...
RECOMB
2004
Springer
14 years 7 months ago
Reconstructing reticulate evolution in species: theory and practice
We present new methods for reconstructing reticulate evolution of species due to events such as horizontal transfer or hybrid speciation; both methods are based upon extensions of...
Luay Nakhleh, Tandy Warnow, C. Randal Linder
VLDB
1998
ACM
120views Database» more  VLDB 1998»
13 years 11 months ago
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning
Classification is an important problem in data mining. Given a database of records, each with a class label, a classifier generates a concise and meaningful description for each c...
Rajeev Rastogi, Kyuseok Shim