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[ACM Press the eighth ACM SIGKDD international conference - Edmonton, Alberta, Canada (2002.07.23-2002.07.26)] Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '02 - A unifying framework for detecting outliers and change points from non-stationary time series data

โœ Scribed by Yamanishi, Kenji; Takeuchi, Jun-ichi


Book ID
118231440
Publisher
ACM Press
Year
2002
Tongue
English
Weight
559 KB
Volume
0
Category
Article
ISBN-13
9781581135671

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Heterogeneous information networks are pervasive in applications ranging from bioinformatics to e-commerce. As a result, unsupervised learning and clustering methods pertaining to such networks have gained significant attention recently. Nodes in a heterogeneous information network are regarded as o