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PAKDD
2000
ACM
128views Data Mining» more  PAKDD 2000»
15 years 10 months ago
Efficient Detection of Local Interactions in the Cascade Model
Detection of interactions among data items constitutes an essential part of knowledge discovery. The cascade model is a rule induction methodology using levelwise expansion of a la...
Takashi Okada
SDM
2007
SIAM
171views Data Mining» more  SDM 2007»
15 years 8 months ago
A Better Alternative to Piecewise Linear Time Series Segmentation
Time series are difficult to monitor, summarize and predict. Segmentation organizes time series into few intervals having uniform characteristics (flatness, linearity, modality,...
Daniel Lemire
ESWA
2006
148views more  ESWA 2006»
15 years 7 months ago
Applications of artificial intelligence in bioinformatics: A review
Artificial intelligence (AI) has increasingly gained attention in bioinformatics research and computational molecular biology. With the availability of different types of AI algor...
Zoheir Ezziane
PKDD
2010
Springer
162views Data Mining» more  PKDD 2010»
15 years 5 months ago
Expectation Propagation for Bayesian Multi-task Feature Selection
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
Daniel Hernández-Lobato, José Miguel...
ICDM
2010
IEEE
166views Data Mining» more  ICDM 2010»
15 years 5 months ago
Exponential Family Tensor Factorization for Missing-Values Prediction and Anomaly Detection
In this paper, we study probabilistic modeling of heterogeneously attributed multi-dimensional arrays. The model can manage the heterogeneity by employing an individual exponential...
Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibat...