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References (cont')

  • Mining Sequential and Structured Patterns
    • R. Srikant and R. Agrawal. Mining sequential patterns: Generalizations and performance improvements. EDBT’96.
    • H. Mannila, H Toivonen, and A. I. Verkamo. Discovery of frequent episodes in event sequences. DAMI:97.
    • M. Zaki. SPADE: An Efficient Algorithm for Mining Frequent Sequences. Machine Learning:01.
    • J. Pei, J. Han, H. Pinto, Q. Chen, U. Dayal, and M.-C. Hsu. PrefixSpan: Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth. ICDE'01.
    • M. Kuramochi and G. Karypis. Frequent Subgraph Discovery. ICDM'01.
    • X. Yan, J. Han, and R. Afshar. CloSpan: Mining Closed Sequential Patterns in Large Datasets. SDM'03.
    • X. Yan and J. Han. CloseGraph: Mining Closed Frequent Graph Patterns. KDD'03.

  • Mining Spatial, Multimedia, and Web Data
    • K. Koperski and J. Han, Discovery of Spatial Association Rules in Geographic Information Databases, SSD’95.
    • O. R. Zaiane, M. Xin, J. Han, Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs. ADL'98.
    • O. R. Zaiane, J. Han, and H. Zhu, Mining Recurrent Items in Multimedia with Progressive Resolution Refinement. ICDE'00.
    • D. Gunopulos and I. Tsoukatos. Efficient Mining of Spatiotemporal Patterns. SSTD'01.

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