Apriori Sets And Sequences - Keith's MS Thesis
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Pattern Matching References

Intro ] [ Identifying and Using Patterns in Sequential Data-Notes ] [ Mining Sequential Patterns-Generalizations and Performance Improvements-Notes ] [ Tranform Based Similarity Methods For Sequence Mining MQP-Notes ]

Up: References ]

Thoughts on:

      "Mining Sequential Patterns:
       Generalizations and Performance Improvements",
       Ramakrishnan Srikant, Rakesh Agrawal
      IBM Almaden Research Center, 1996

I do not have an electronic copy of this paper.
      
An improvement over AprioriAll for mining sequential patterns is 
presented. This could relate to our work. We could adapt the method
for numeric data, mine for patterns and then mine for association rules
using the patterns as values for the time series attributes. In fact,
this possibility is common among our background material.

The problem being solved in this work is similar to that presented in
the Inter-Transactional rule mining work by Tung, Lu, Han, and Feng.
Intro
Discovering Similar Patterns in Time Series.pdf
Efficient Similarity Search In Sequence Databases-Notes
Efficient Similarity Search In Sequence Databases.ps
Fast Subsequence Matching in Time Series Databases-Notes
Fast Subsequence Matching in Time Series Databases.pdf
Finding Patterns in Time Series-A Dynamic Programming Approach-Notes
Identifying and Using Patterns in Sequential Data-Notes
Mining Sequential Patterns-Generalizations and Performance Improvements-Notes
Tranform Based Similarity Methods For Sequence Mining MQP-Notes
Tranform Based Similarity Methods For Sequence Mining MQP.doc

by: Keith A. Pray
Last Modified: July 4, 2004 7:19 AM
© 2004 - 1975 Keith A. Pray.
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