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» Using Recon for Data Cleaning
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NIPS
2004
13 years 9 months ago
Multiple Relational Embedding
We describe a way of using multiple different types of similarity relationship to learn a low-dimensional embedding of a dataset. Our method chooses different, possibly overlappin...
Roland Memisevic, Geoffrey E. Hinton
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 8 months ago
Detecting outliers using transduction and statistical testing
Outlier detection can uncover malicious behavior in fields like intrusion detection and fraud analysis. Although there has been a significant amount of work in outlier detection, ...
Daniel Barbará, Carlotta Domeniconi, James ...
CORR
2006
Springer
81views Education» more  CORR 2006»
13 years 7 months ago
Universal Filtering via Hidden Markov Modeling
The problem of discrete universal filtering, in which the components of a discrete signal emitted by an unknown source and corrupted by a known discrete memoryless channel (DMC) ar...
Taesup Moon, Tsachy Weissman
SDM
2012
SIAM
305views Data Mining» more  SDM 2012»
11 years 10 months ago
Learning Hierarchical Relationships among Partially Ordered Objects with Heterogeneous Attributes and Links
Objects linking with many other objects in an information network may imply various semantic relationships. Uncovering such knowledge is essential for role discovery, data cleanin...
Chi Wang, Jiawei Han, Qi Li, Xiang Li, Wen-Pin Lin...
WWW
2003
ACM
14 years 8 months ago
Text joins in an RDBMS for web data integration
The integration of data produced and collected across autonomous, heterogeneous web services is an increasingly important and challenging problem. Due to the lack of global identi...
Luis Gravano, Panagiotis G. Ipeirotis, Nick Koudas...