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» Embedding Heterogeneous Data Using Statistical Models
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BMCBI
2004
139views more  BMCBI 2004»
15 years 11 days ago
Resolution of large and small differences in gene expression using models for the Bayesian analysis of gene expression levels an
Background: The detection of small yet statistically significant differences in gene expression in spotted DNA microarray studies is an ongoing challenge. Meeting this challenge r...
Jeffrey P. Townsend
149
Voted
KDD
2012
ACM
247views Data Mining» more  KDD 2012»
13 years 3 months ago
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan...
EOR
2011
172views more  EOR 2011»
14 years 7 months ago
Efficiency measurement using independent component analysis and data envelopment analysis
Efficiency measurement is an important issue for any firm or organization. Efficiency measurement allows organizations to compare their performance with their competitors’ and t...
Ling-Jing Kao, Chi-Jie Lu, Chih-Chou Chiu
KDD
2012
ACM
254views Data Mining» more  KDD 2012»
13 years 3 months ago
Playlist prediction via metric embedding
Digital storage of personal music collections and cloud-based music services (e.g. Pandora, Spotify) have fundamentally changed how music is consumed. In particular, automatically...
Shuo Chen, Josh L. Moore, Douglas Turnbull, Thorst...
WSC
2004
15 years 1 months ago
A Data Warehouse Environment for Storing and Analyzing Simulation Output Data
Discrete event simulation modelling has been extensively used in modelling complex systems. Although it offers great conceptual-modelling flexibility, it is both computationally e...
Christos Vasilakis, Elia El-Darzi, Panagiotis Chou...