2012 CSI Sixth International Conference on Software Engineering (CONSEG) 2012
DOI: 10.1109/conseg.2012.6349495
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Knowledge discovery with a subset-superset approach for Mining Heterogeneous Data with dynamic support

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Cited by 39 publications
(22 citation statements)
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“…K-means clustering, fuzzy C-means and optimization techniques are used in several research works like [6][7][8][9][10]. This also includes the use of association rule mining as the meaningful data should be extracted [11][12][13][14][15].…”
Section: *Author For Correspondencementioning
confidence: 99%
“…K-means clustering, fuzzy C-means and optimization techniques are used in several research works like [6][7][8][9][10]. This also includes the use of association rule mining as the meaningful data should be extracted [11][12][13][14][15].…”
Section: *Author For Correspondencementioning
confidence: 99%
“…It comprises of numerous occasions in an illustration, yet perception of one class is conceivable just for every one of the examples [11]. Super-set and sub-set approach is suggested in [12]. Log file based classifier was suggested in [13].…”
Section: Related Workmentioning
confidence: 99%
“…2) Data partitioning is needed based on subset and super set approach so that level wise security can be applied to make the hacker unreachable [42].…”
Section: Problem Identificationmentioning
confidence: 99%