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Mika Klemettinen
Mika Klemettinen
PhD
Verified email at businessfinland.fi
Title
Cited by
Cited by
Year
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
11481994
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
3851995
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
2201996
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
1611998
Rule discovery in telecommunication alarm data
M Klemettinen, H Mannila, H Toivonen
Journal of Network and Systems Management 7 (4), 395-423, 1999
1201999
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
992002
Modeling KDD processes within the inductive database framework
JF cois Boulicaut, M Klemettineny, H Mannilaz
Data Warehousing and Knowledge Discovery, 293, 1999
851999
A knowledge discovery methodology for telecommunication network alarm databases
M Klemettinen
University of Helsinki, 1999
851999
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
851997
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
832003
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
821999
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
821996
Mining association rules from XML data
D Braga, A Campi, M Klemettinen, PL Lanzi
Data Warehousing and Knowledge Discovery: 4th International Conference …, 2002
772002
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
732002
Enabling technologies for mobile services: the MobiLife book
M Klemettinen
John Wiley & Sons, 2007
682007
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
591998
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
441997
Mining in the phrasal frontier
H Ahonen, O Heinonen, M Klemettinen, AI Verkamo
Principles of Data Mining and Knowledge Discovery: First European Symposium …, 1997
431997
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
422006
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
361999
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