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CHI
2005
ACM
14 years 8 months ago
Understanding research trends in conferences using paperLens
PaperLens is a novel visualization that reveals trends, connections, and activity throughout a conference community. It tightly couples views across papers, authors, and reference...
Bongshin Lee, Mary Czerwinski, George G. Robertson...
KDD
1995
ACM
99views Data Mining» more  KDD 1995»
13 years 11 months ago
Active Data Mining
We introduce an active data mining paradigm that combines the recent work in data mining with the rich literature on active database systems. In this paradigm, data is continuousl...
Rakesh Agrawal, Giuseppe Psaila
INCDM
2010
Springer
486views Data Mining» more  INCDM 2010»
13 years 9 months ago
Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy
This paper describes an approach to temporal pattern mining using the concept of user de ned temporal prototypes to de ne the nature of the trends of interests. The temporal patt...
Vassiliki Somaraki, Deborah Broadbent, Frans Coene...
BIBM
2007
IEEE
159views Bioinformatics» more  BIBM 2007»
14 years 1 months ago
Predicting Future High-Cost Patients: A Real-World Risk Modeling Application
Health care data from patients in the Arizona Health Care Cost Containment System, Arizona’s Medicaid program, provides a unique opportunity to exploit state-of-the-art data pro...
Sai T. Moturu, William G. Johnson, Huan Liu
SIGKDD
2000
103views more  SIGKDD 2000»
13 years 7 months ago
Interface '99: A Data Mining Overview
This personal overview of Interface '99 is intended to communicate its meaning and relevance to SIGKDD, as well as provide valuable information on trends within the Interface...
Arnold Goodman