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- demonstrationSeptember 2019
Interactive evaluation of recommender systems with SNIPER: an episode mining approach
RecSys '19: Proceedings of the 13th ACM Conference on Recommender SystemsPages 538–539https://doi.org/10.1145/3298689.3346965Recommender systems are typically evaluated using either offline methods, online methods, or through user studies. In this paper we take an episode mining approach to analysing recommender system data and we demonstrate how we can use SNIPER, a tool for ...
- ArticleMarch 2023
Instant Exceptional Model Mining Using Weighted Controlled Pattern Sampling
Advances in Intelligent Data Analysis XIIIPages 203–214https://doi.org/10.1007/978-3-319-12571-8_18AbstractWhen plugged into instant interactive data analytics processes, pattern mining algorithms are required to produce small collections of high quality patterns in short amounts of time. In the case of Exceptional Model Mining (EMM), even heuristic ...
- research-articleAugust 2012
Linear space direct pattern sampling using coupling from the past
KDD '12: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data miningPages 69–77https://doi.org/10.1145/2339530.2339545This paper shows how coupling from the past (CFTP) can be used to avoid time and memory bottlenecks in direct local pattern sampling procedures. Such procedures draw controlled amounts of suitably biased samples directly from the pattern space of a ...
- demonstrationAugust 2011
MIME: a framework for interactive visual pattern mining
KDD '11: Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data miningPages 757–760https://doi.org/10.1145/2020408.2020529We present a framework for interactive visual pattern mining. Our system enables the user to browse through the data and patterns easily and intuitively, using a toolbox consisting of interestingness measures, mining algorithms and post-processing ...
