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The Effect of History on Modeling Systems' Performance: The Problem of the Demanding Lord
2010
2010 IEEE International Conference on Data Mining
In several concept attainment systems, ranging from recommendation systems to information filtering, a sliding window of learning instances has been used in the learning process to allow the learner to follow concepts that change over time. However, no analytic study has been performed on the relation between the size of the sliding window and the performance of a learning system. In this work, we present such an analytic model that describes the effect of the sliding window size on the
doi:10.1109/icdm.2010.90
dblp:conf/icdm/GiannakopoulosP10
fatcat:t55c3nreajdalny2a5rsjfhvfu