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» Approximate data mining in very large relational data
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VLDB
2002
ACM
137views Database» more  VLDB 2002»
15 years 1 months ago
Comparing Data Streams Using Hamming Norms (How to Zero In)
Massive data streams are now fundamental to many data processing applications. For example, Internet routers produce large scale diagnostic data streams. Such streams are rarely s...
Graham Cormode, Mayur Datar, Piotr Indyk, S. Muthu...
KDD
1999
ACM
184views Data Mining» more  KDD 1999»
15 years 6 months ago
Mining Optimized Gain Rules for Numeric Attributes
—Association rules are useful for determining correlations between attributes of a relation and have applications in the marketing, financial, and retail sectors. Furthermore, op...
Sergey Brin, Rajeev Rastogi, Kyuseok Shim
ISVC
2005
Springer
15 years 7 months ago
Mining Paths of Complex Crowd Scenes
The Ambient Intelligence (AmI) paradigm requires a robust interpretation of people actions and behaviour and a way for automatically generating persistent spatial-temporal models o...
Beibei Zhan, Paolo Remagnino, Sergio A. Velastin
IEEEICCI
2005
IEEE
15 years 7 months ago
A brain-like computer for cognitive software applications: the Ersatz Brain project
We want to design a suitable computer for the efficient execution of the software now being developed that will display human-like cognitive abilities. Examples of these potential...
J. A. Anderson
119
Voted
KDD
2008
ACM
178views Data Mining» more  KDD 2008»
16 years 2 months ago
Training structural svms with kernels using sampled cuts
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
Chun-Nam John Yu, Thorsten Joachims