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SIGMOD
2008
ACM
138views Database» more  SIGMOD 2008»
16 years 6 months ago
Sampling time-based sliding windows in bounded space
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
Rainer Gemulla, Wolfgang Lehner
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 19 days ago
Primal sparse Max-margin Markov networks
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...
Jun Zhu, Eric P. Xing, Bo Zhang
ICDM
2009
IEEE
198views Data Mining» more  ICDM 2009»
16 years 16 days ago
Information Extraction for Clinical Data Mining: A Mammography Case Study
Abstract—Breast cancer is the leading cause of cancer mortality in women between the ages of 15 and 54. During mammography screening, radiologists use a strict lexicon (BI-RADS) ...
Houssam Nassif, Ryan Woods, Elizabeth S. Burnside,...
CONTEXT
2007
Springer
16 years 1 days ago
Discovering Hidden Contextual Factors for Implicit Feedback
Abstract. This paper presents a statistical framework based on Principal Component Analysis (PCA) for discovering the contextual factors which most strongly influence user behavio...
Massimo Melucci, Ryen W. White
RECOMB
2007
Springer
15 years 12 months ago
Nucleosome Occupancy Information Improves de novo Motif Discovery
A complete understanding of transcriptional regulatory processes in the cell requires identification of transcription factor binding sites on a genomewide scale. Unfortunately, th...
Leelavati Narlikar, Raluca Gordân, Alexander...