KDD-Cup 2000 organizers' report: peeling the onion
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Detection of Interdomain Routing Anomalies Based on Higher-Order Path Analysis
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
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Modern data mining algorithms primarily leverage first-order relations, aiming to discover patterns such as association or classification rules only within records. This paper leverages higher order associations - associations between records as well as entities - in both classification and association rule mining algorithms to generate more accurate models. Our preliminary results suggest that by employing higher order paths, we can exploit valuable latent information for both association rule mining and classification.