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KDD
2004
ACM
14 years 8 months ago
2004
ACM
The computation of covariance and correlation matrices are critical to many data mining applications and processes. Unfortunately the classical covariance and correlation matrices...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Large and complex graphs representing relationships among sets of entities are an increasingly common focus of interest in data analysis--examples include social networks, Web gra...
CAISE
2007
Springer
14 years 1 months ago
2007
Springer
Data cleaning is the process of correcting anomalies in a data source, that may for instance be due to typographical errors, or duplicate representations of an entity. It is a cruc...