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KDD
2007
ACM
181views Data Mining» more  KDD 2007»
16 years 7 months ago
BoostCluster: boosting clustering by pairwise constraints
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
Yi Liu, Rong Jin, Anil K. Jain
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 7 months ago
Detecting outliers using transduction and statistical testing
Outlier detection can uncover malicious behavior in fields like intrusion detection and fraud analysis. Although there has been a significant amount of work in outlier detection, ...
Daniel Barbará, Carlotta Domeniconi, James ...
POPL
2008
ACM
16 years 6 months ago
The design and implementation of typed scheme
When scripts in untyped languages grow into large programs, maintaining them becomes difficult. A lack of types in typical scripting languages means that programmers must (re)disc...
Sam Tobin-Hochstadt, Matthias Felleisen
POPL
2008
ACM
16 years 6 months ago
Multiparty asynchronous session types
Communication is becoming one of the central elements in software development. As a potential typed foundation for structured communication-centred programming, session types have...
Kohei Honda, Nobuko Yoshida, Marco Carbone
POPL
2008
ACM
16 years 6 months ago
Imperative self-adjusting computation
Self-adjusting computation enables writing programs that can automatically and efficiently respond to changes to their data (e.g., inputs). The idea behind the approach is to stor...
Umut A. Acar, Amal Ahmed, Matthias Blume