@inproceedings{2b60b93b02c544fda431057292d0adc8,
title = "Data squashing for speeding up boosting-based outlier detection",
abstract = "In this paper, we apply data squashing to speed up outlier detection based on boosting. One person's noise is another person's signal. Outlier detection is gaining increasing attention in data mining. In order to improve computational time for AdaBoost-based outlier detection, we beforehand compress a given data set based on a simplified method of BIRCH. Effectiveness of our approach in terms of detection accuracy and computational time is investigated by experiments with two real-world data sets of drug stores in Japan and an artificial data set of unlawful access to a computer network.",
author = "Shutaro Inatani and Einoshin Suzuki",
year = "2002",
doi = "10.1007/3-540-48050-1_64",
language = "English",
isbn = "3540437851",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "600--611",
editor = "Mohand-Said Hacid and Ras, {Zbigniew W.} and Zighed, {Djamel A.} and Yves Kodratoff",
booktitle = "Foundations of Intelligent Systems - 13th International Symposium, ISMIS 2002, Proceedings",
address = "Germany",
note = "13th International Symposium on Methodologies for Intelligent Systems, ISMIS 2002 ; Conference date: 27-06-2002 Through 29-06-2002",
}