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171
Voted
KDD
2012
ACM
207views Data Mining» more  KDD 2012»
13 years 6 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
CBMS
2006
IEEE
15 years 9 months ago
An Ontology-Driven Mediator for Querying Time-Oriented Biomedical Data
— Most biomedical research databases contain considerable amounts of time-oriented data. However, temporal knowledge about the contextual meaning of such data is not usually repr...
Martin J. O'Connor, Ravi Shankar, Amar K. Das
KDD
2006
ACM
240views Data Mining» more  KDD 2006»
16 years 4 months ago
Adaptive event detection with time-varying poisson processes
Time-series of count data are generated in many different contexts, such as web access logging, freeway traffic monitoring, and security logs associated with buildings. Since this...
Alexander T. Ihler, Jon Hutchins, Padhraic Smyth
124
Voted
DMKD
2004
ACM
139views Data Mining» more  DMKD 2004»
15 years 9 months ago
Iterative record linkage for cleaning and integration
Record linkage, the problem of determining when two records refer to the same entity, has applications for both data cleaning (deduplication) and for integrating data from multipl...
Indrajit Bhattacharya, Lise Getoor
156
Voted
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
15 years 2 months ago
Scalable similarity search with optimized kernel hashing
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Junfeng He, Wei Liu, Shih-Fu Chang