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» Mining sequences of changed-files from version histories
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SDM
2007
SIAM
198views Data Mining» more  SDM 2007»
13 years 7 months ago
Learning from Time-Changing Data with Adaptive Windowing
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
Albert Bifet, Ricard Gavaldà
KDD
1998
ACM
141views Data Mining» more  KDD 1998»
13 years 10 months ago
Rule Discovery from Time Series
We consider the problem of nding rules relating patterns in a time series to other patterns in that series, or patterns in one series to patterns in another series. A simple examp...
Gautam Das, King-Ip Lin, Heikki Mannila, Gopal Ren...
ECLIPSE
2006
ACM
13 years 11 months ago
HAM: cross-cutting concerns in Eclipse
As programs evolve, newly added functionality sometimes no longer aligns with the original design, ending up scattered across the software system. Aspect mining tries to identify ...
Silvia Breu, Thomas Zimmermann, Christian Lindig
DAWAK
2005
Springer
13 years 11 months ago
A Tree Comparison Approach to Detect Changes in Data Warehouse Structures
Abstract. We present a technique for discovering and representing changes between versions of data warehouse structures. We select a tree comparison algorithm, adapt it for the par...
Johann Eder, Christian Koncilia, Karl Wiggisser
MSR
2010
ACM
13 years 7 months ago
Replaying IDE interactions to evaluate and improve change prediction approaches
Abstract—Change prediction helps developers by recommending program entities that will have to be changed alongside the entities currently being changed. To evaluate their accura...
Romain Robbes, Damien Pollet, Michele Lanza