TY - GEN
T1 - Undirected exception rule discovery as local pattern detection
AU - Suzuki, Einoshin
PY - 2005
Y1 - 2005
N2 - In this paper, we give an interpretation of our undirected exception rule discovery as local pattern detection and introduce some of our endeavors. Our undirected exception rule discovery outputs a set of rule pairs, each of which represents a pair of strong rule and its exception rule. A local pattern is defined as a pattern which deviates from a global model, and can be considered to correspond to our exception rule if the global model corresponds to our strong rule. Several attempts for undirected exception rule discovery are introduced in the context of local pattern detection. Our results mainly concern interestingness measure, algorithmic issues, noise modeling, and performance evaluation.
AB - In this paper, we give an interpretation of our undirected exception rule discovery as local pattern detection and introduce some of our endeavors. Our undirected exception rule discovery outputs a set of rule pairs, each of which represents a pair of strong rule and its exception rule. A local pattern is defined as a pattern which deviates from a global model, and can be considered to correspond to our exception rule if the global model corresponds to our strong rule. Several attempts for undirected exception rule discovery are introduced in the context of local pattern detection. Our results mainly concern interestingness measure, algorithmic issues, noise modeling, and performance evaluation.
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U2 - 10.1007/11504245_13
DO - 10.1007/11504245_13
M3 - Conference contribution
AN - SCOPUS:26944458822
SN - 3540265430
SN - 9783540265436
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 207
EP - 216
BT - Local Pattern Detection - International Seminar, Revised Selected Papers
PB - Springer Verlag
T2 - International Seminar on Local Pattern Detection
Y2 - 12 April 2004 through 16 April 2004
ER -