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Lijffijt, J. and Papapetrou, Panagiotis and Puolamäki, K. (2014) A statistical significance testing approach to mining the most informative set of patterns. Data Mining and Knowledge Discovery 28 (1), pp. 238-263. ISSN 1384-5810.

Lijffijt, J. and Papapetrou, Panagiotis and Puolamäki, K. (2012) Size matters: finding the most informative set of window lengths. In: Flach, P.A. and de Bie, T. and Cristianini, N. (eds.) Machine Learning and Knowledge Discovery in Databases. Lecture Notes in Computer Science 7524. Berlin, Germany: Springer Verlag, pp. 451-466. ISBN 9783642334856.

Lijffijt, J. and Papapetrou, Panagiotis and Puolamäki, K. and Mannila, H. (2011) Analyzing word frequencies in large text corpora using inter-arrival times and bootstrapping. In: Gunopulos, D. and Hofmann, T. and Malerba, D. and Vazirgiannis, M. (eds.) Machine Learning and Knowledge Discovery in Databases. Berlin, Germany: Springer Verlag, pp. 341-357. ISBN 9783642237836.

Lijffijt, J. and Papapetrou, Panagiotis and Hollmen, J. (2010) Tracking your steps on the track: body sensor recordings of a controlled walking experiment. In: Makedon, F. (ed.) Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments. New York, USA: ACM Publications. ISBN 9781450300711.

Puolamäki, K. and Papapetrou, Panagiotis and Lijffijt, J. (2010) Visually controllable data mining methods. In: Webb, G. and Liu, B. and Zhang, C. and Gunopulos, D. and Wu, X. (eds.) International Conference on Data Mining Workshops. Washington, USA: IEEE Computer Society, pp. 409-417. ISBN 9780769542577.