%0 Journal Article %1 schouten2021mining %A Schouten, Rianne M %A Bueno, Marcos LP %A Duivesteijn, Wouter %A Pechenizkiy, Mykola %D 2021 %I Springer %J Data Mining and Knowledge Discovery %K subgroup discovery emm exceptional model mining sequence sequences markov higher order wouter transition behavior %P 1--35 %T Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions

@article{schouten2021mining, added-at = {2022-01-24T23:51:28.000+0100}, author = {Schouten, Rianne M and Bueno, Marcos LP and Duivesteijn, Wouter and Pechenizkiy, Mykola}, biburl = {https://www.bibsonomy.org/bibtex/24e76ce39aaf55f4cc520fc196cb8c3b0/becker}, interhash = {26668a65dca67db14edd46288ead7b18}, intrahash = {4e76ce39aaf55f4cc520fc196cb8c3b0}, journal = {Data Mining and Knowledge Discovery}, keywords = {subgroup discovery emm exceptional model mining sequence sequences markov higher order wouter transition behavior}, pages = {1--35}, publisher = {Springer}, timestamp = {2022-01-24T23:51:28.000+0100}, title = {Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions}, year = 2021 }