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» Data Reduction Using Multiple Models Integration
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129
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ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
15 years 9 months ago
Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
Tao Li, Chris H. Q. Ding, Michael I. Jordan
104
Voted
NGITS
1999
Springer
15 years 7 months ago
Multiplex: A Formal Model for Multidatabases and Its Implementation
The integration of information from multiple databases has been an enduring subject of research for over 20 years, and many different solutions have been attempted or proposed. Mis...
Amihai Motro
ICS
2000
Tsinghua U.
15 years 7 months ago
Push vs. pull: data movement for linked data structures
As the performance gap between the CPU and main memory continues to grow, techniques to hide memory latency are essential to deliver a high performance computer system. Prefetchin...
Chia-Lin Yang, Alvin R. Lebeck
IHI
2012
266views Healthcare» more  IHI 2012»
13 years 11 months ago
A software tool for large-scale sharing and querying of clinical documents modeled using HL7 version 3 standard
We present a novel software tool called CDN (Collaborative Data Network) for large-scale sharing and querying of clinical documents modeled using HL7 v3 standard (e.g., Clinical D...
Praveen R. Rao, Tivakar Komara Swami, Deepthi S. R...
KELSI
2004
Springer
15 years 8 months ago
Multiple-Instance Case-Based Learning for Predictive Toxicology
Predictive toxicology is the task of building models capable of determining, with a certain degree of accuracy, the toxicity of chemical compounds. Machine Learning (ML) in general...
Eva Armengol, Enric Plaza