| Finding interesting rules from large sets of discovered association rules M Klemettinen, H Mannila, P Ronkainen, H Toivonen, AI Verkamo Proceedings of the third international conference on Information and …, 1994 | 1181 | 1994 |
| Pruning and grouping of discovered association rules H Toivonen, M Klemettinen, P Ronkainen, K Hätönen, H Mannila ECML Workshop on Statistics, Machine Learning, and Knowledge Discovery in …, 1995 | 398 | 1995 |
| Knowledge discovery from telecommunication network alarm databases K Hatonen, M Klemettinen, H Mannila, P Ronkainen, H Toivonen Proceedings of the twelfth international conference on data engineering, 115-122, 1996 | 221 | 1996 |
| Applying data mining techniques for descriptive phrase extraction in digital document collections H Ahonen, O Heinonen, M Klemettinen, AI Verkamo Proceedings IEEE International Forum on Research and Technology Advances in …, 1998 | 176 | 1998 |
| Rule discovery in telecommunication alarm data M Klemettinen, H Mannila, H Toivonen Journal of Network and Systems Management 7 (4), 395-423, 1999 | 128 | 1999 |
| Operating user profiles with distributed profile model using a hybrid terminal M Vanska, I Nordman, M Klemettinen, H Toivonen, A Sorvari, Y Huhtala, ... US Patent App. 09/824,781, 2002 | 104 | 2002 |
| Applying data mining techniques in text analysis H Ahonen, O Heinonen, M Klemettinen, AI Verkamo Report C-1997-23, Dept. of Computer Science, University of Helsinki, 1997 | 92 | 1997 |
| A knowledge discovery methodology for telecommunication network alarm databases M Klemettinen University of Helsinki, 1999 | 87 | 1999 |
| TASA: Telecommunication alarm sequence analyzer or how to enjoy faults in your network K Hatonen, M Klemettinen, H Mannila, P Ronkainen, H Toivonen Proceedings of NOMS'96-IEEE Network Operations and Management Symposium 2 …, 1996 | 85 | 1996 |
| Discovering interesting information in XML data with association rules D Braga, A Campi, S Ceri, M Klemettinen, PL Lanzi Proceedings of the 2003 ACM symposium on Applied computing, 450-454, 2003 | 83 | 2003 |
| Finding co-occurring text phrases by combining sequence and frequent set discovery H Ahonen-Myka, O Heinonen, M Klemettinen, AI Verkamo Proceedings of 16th International Joint Conference on Artificial …, 1999 | 83 | 1999 |
| Modeling KDD processes within the inductive database framework JF Boulicaut, M Klemettinen, H Mannila DataWarehousing and Knowledge Discovery: First International Conference …, 1999 | 81 | 1999 |
| Mining association rules from XML data D Braga, A Campi, M Klemettinen, PL Lanzi Data Warehousing and Knowledge Discovery: 4th International Conference …, 2002 | 78 | 2002 |
| A tool for extracting XML association rules D Braga, A Campi, S Ceri, M Klemettinen, PL Lanzi 14th IEEE International Conference on Tools with Artificial Intelligence …, 2002 | 73 | 2002 |
| Enabling technologies for mobile services: the MobiLife book M Klemettinen John Wiley & Sons, 2007 | 66 | 2007 |
| Querying inductive databases: A case study on the MINE RULE operator JF Boulicaut, M Klemettinen, H Mannila Principles of Data Mining and Knowledge Discovery: Second European Symposium …, 1998 | 61 | 1998 |
| Context-awareness in MobiLife R Kernchen, D Bonnefoy, A Battestini, B Mrohs, M Wagner, M Klemettinen Proceedings of the 15th IST Mobile and Wireless Communication Summit, 2006 | 46 | 2006 |
| Mining in the phrasal frontier H Ahonen, O Heinonen, M Klemettinen, AI Verkamo Principles of Data Mining and Knowledge Discovery: First European Symposium …, 1997 | 45 | 1997 |
| A data mining methodology and its application to semi-automatic knowledge acquisition M Klemettinen, H Mannila, H Toivonen Database and Expert Systems Applications. 8th International Conference, DEXA …, 1997 | 43 | 1997 |
| Interactive exploration of interesting findings in the Telecommunication Network Alarm Sequence Analyzer (TASA) M Klemettinen, H Mannila, H Toivonen Information and software technology 41 (9), 557-567, 1999 | 38 | 1999 |