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» Efficient Frequent Pattern Mining in Relational Databases
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134
Voted
GIS
2010
ACM
15 years 24 days ago
Querying geo-social data by bridging spatial networks and social networks
Recording the location of people using location-acquisition technologies, such as GPS, allows generating life patterns, which associate people to places they frequently visit. Con...
Yerach Doytsher, Ben Galon, Yaron Kanza
159
Voted
CBMS
2006
IEEE
15 years 6 months ago
A Generic Framework: From Clinical Notes to Electronic Medical Records
Electronic Medical Records are important to manage health data and save lives to improve the quality of service in hospitals. Clinical medical records contain a wealth of informat...
Hyoil Han, Yoori Choi, Yoo Myung Choi, Xiaohua Zho...
122
Voted
KDD
2009
ACM
159views Data Mining» more  KDD 2009»
16 years 3 months ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...
166
Voted
AMAI
2007
Springer
15 years 2 months ago
Relational concept discovery in structured datasets
Relational datasets, i.e., datasets in which individuals are described both by their own features and by their relations to other individuals, arise from various sources such as d...
Marianne Huchard, Mohamed Rouane Hacene, Cyril Rou...
146
Voted
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 3 months ago
Discovering significant OPSM subspace clusters in massive gene expression data
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...