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- research-articleMarch 2011
Massive character recognition with a large ground-truthed database
SAC '11: Proceedings of the 2011 ACM Symposium on Applied ComputingPages 240–244https://doi.org/10.1145/1982185.1982241In character recognition, multiple prototype classifiers, where multiple patterns are prepared as representative patterns of each class, have often been employed to improve recognition accuracy. Our question is how we can improve the recognition ...
- research-articleMarch 2011
Classifying microarray data with association rules
SAC '11: Proceedings of the 2011 ACM Symposium on Applied ComputingPages 94–99https://doi.org/10.1145/1982185.1982209In this paper we investigate a method for classifying microarray data using association rules. Associative classifiers, classification systems based on association rules, show good performance level while being easy to read and understand. This feature ...