PhD Qualifying Examination


"Mining Frequent Patterns from Sequence Data: A Survey"

By Miss Guimei Liu


Abstract:

A huge amount of data is collected in the form of sequences from
various domains. Common examples include customer transactions,
telecommunication signals, DNA sequences, Web logs and medical
records. These sequence data represent valuable information
sources for knowledge discovering and data mining. One of the most
popular data mining technique applied to sequences is the
discovery of frequent patterns, including sequential patterns,
episodes and periodic patterns. In this survey, the techniques for
mining patterns from sequences are investigated. In some domains,
users may hope to put some constraints on the patterns, how to
incorporate these constraints into the mining process and let it
focus on mining user interested patterns is studied. Integrating
data mining and database technology is also discussed. Some real
world applications of pattern mining are given in the end.


Date:     		Monday, 17 December 2001

Time:                   2:00p.m.-4:00p.m.

Venue:                  Room 1402
			Lifts 25-26

Committee Members:      Prof. Hongjun Lu (Supervisor)
                        Dr. Dit-Yan Yeung (Chairman)
			Dr. Dimitris Papadias
                      	Dr. Qiang Yang


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