Full Citation
Title: Investigation of Sub-Patterns Discovery and its Applications
Citation Type: Miscellaneous
Publication Year: 2009
ISBN:
ISSN:
DOI:
NSFID:
PMCID:
PMID:
Abstract: Data mining is one of the most exciting information science technologies in 21 century. Contrast patterns mining is one of the most challenging and vital techniques in data mining research. Patterns, or groups, are collections of items which satisfy certain properties which are of interesting information (Ramamohanarao et al, 2005). Contrast patterns of various kinds differ greatly, for example, Pattern and rule based contrasts, Data cube contrasts, Sequence based contrasts, Graph based and Model based contrasts. However, there is no one specific paper or research lays the emphasis on comparing the similarities and differences between them.This research, therefore, is intended to
User Submitted?: No
Authors: Lu, Xun
Publisher: University of South Australia
Data Collections: IPUMS USA
Topics: Methodology and Data Collection, Other
Countries: