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138
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KDD
2000
ACM
121views Data Mining» more  KDD 2000»
15 years 7 months ago
Mining high-speed data streams
Many organizations today have more than very large databases; they have databases that grow without limit at a rate of several million records per day. Mining these continuous dat...
Pedro Domingos, Geoff Hulten
129
Voted
CF
2010
ACM
15 years 7 months ago
Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware
Computational neuroscience is being revolutionized with the advent of multi-electrode arrays that provide real-time, dynamic perspectives into brain function. Mining neuronal spik...
Yong Cao, Debprakash Patnaik, Sean P. Ponce, Jerem...
137
Voted
GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
15 years 7 months ago
Robust symbolic regression with affine arithmetic
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...
Cassio Pennachin, Moshe Looks, João A. de V...
119
Voted
CIKM
2009
Springer
15 years 7 months ago
A framework for semantic link discovery over relational data
Discovering links between different data items in a single data source or across different data sources is a challenging problem faced by many information systems today. In partic...
Oktie Hassanzadeh, Anastasios Kementsietsidis, Lip...
117
Voted
CIKM
2009
Springer
15 years 7 months ago
Mining data streams with periodically changing distributions
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
Yingying Tao, M. Tamer Özsu
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