Apriori Sets And Sequences - Keith's MS Thesis
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New References to Check Out

[ Intro ] [  Kam-Fu-2000-Discovering Temporal Patterns for Interval-Based Events.ps ] [ Mining Frequent Itemsets Over Arbitrary Time Intervals in Data Streams.pdf ]

Up: References ]

New references to look at:

  • Yoshida, Mariko; Iizuka, Tetsuya; Shiohara, Hisako; Ishiguro, Masanori: Mining sequential patterns including time intervals, Proc. SPIE Vol. 4057, p. 213-220, Data Mining and Knowledge Discovery: Theory, Tools, and Technology II, Belur V. Dasarathy; 04/2000

  • C. Giannella, J. Han, E. Robertson, C. Liu, "Mining Frequent Itemsets Over Arbitrary Time Intervals in Data Streams". Technical Report 587, Computer Science Department, Indiana University, Nov 2003 www.cs.indiana.edu/ftp/techreports/index.html. An older version: C. Giannella, J. Han, J. Pei, X. Yan and P.S. Yu, Mining Frequent Patterns in Data Streams at Multiple Time Granularities (pdf), H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha (eds.), Data Mining: Next Generation Challenges and Future Directions, AAAI/MIT Press, 2003.

  • Oates for event-based sequence mining

  • Parthasarathy on incremental techniques
Intro
Kam-Fu-2000-Discovering Temporal Patterns for Interval-Based Events.ps
Mining Frequent Itemsets Over Arbitrary Time Intervals in Data Streams.pdf
Mining sequential patterns including time intervals-Abstract
Parthasarathy-Incremental and interactive sequence mining.pdf
Veloso-Parthasarathy-Incremental Techniques for Mining Dynamic and Distributed Databases.pdf
Veloso-Parthasarathy-hpdm03-Parallel Incremental and Interactive Frequent Itemset Mining.pdf

by: Keith A. Pray
Last Modified: July 4, 2004 7:15 AM
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