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ICDE
2007
IEEE
169views Database» more  ICDE 2007»
14 years 3 months ago
Mining Personally Important Places from GPS Tracks
The discovery of a person’s personally important places involves obtaining the physical locations for a person’s places that matter to his daily life and routines. This proble...
Changqing Zhou, Nupur Bhatnagar, Shashi Shekhar, L...
KDD
2003
ACM
142views Data Mining» more  KDD 2003»
14 years 9 months ago
Extracting information from text and images for location proteomics
There is extensive interest in automating the collection, organization and summarization of biological data. Data in the form of figures and accompanying captions in literature pr...
Zhenzhen Kou, William W. Cohen, Robert F. Murphy
KDD
1998
ACM
212views Data Mining» more  KDD 1998»
14 years 27 days ago
Learning to Predict Rare Events in Event Sequences
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
Gary M. Weiss, Haym Hirsh
ICDM
2009
IEEE
146views Data Mining» more  ICDM 2009»
14 years 3 months ago
Induction of Mean Output Prediction Trees from Continuous Temporal Meteorological Data
: In this paper, we present a novel method for fast data-driven construction of regression trees from temporal datasets including continuous data streams. The proposed Mean Output ...
Dima Alberg, Mark Last, Roni Neuman, Avi Sharon
BIBE
2009
IEEE
131views Bioinformatics» more  BIBE 2009»
13 years 12 months ago
Learning Scaling Coefficient in Possibilistic Latent Variable Algorithm from Complex Diagnosis Data
—The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
Zong-Xian Yin