2007 |
23 | EE | Klaus David,
Olaf Drögehorn,
Mika Klemettinen:
Invited Talk: Solutions for a Service Architecture in Pervasive Environments Based on WWRF WG2 Requirements.
SAINT Workshops 2007: 9 |
2006 |
22 | EE | Bernd Mrohs,
Stephan Steglich,
Mika Klemettinen,
Jukka T. Salo,
Andrew Aftelak,
Christophe Cordier,
François Carrez:
MobiLife Service Infrastructure and SPICE Architecture Principles.
VTC Fall 2006: 1-5 |
2004 |
21 | | Rosa Meo,
Pier Luca Lanzi,
Mika Klemettinen:
Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries
Springer 2004 |
20 | EE | Kimmo Hätönen,
Mika Klemettinen,
Markus Miettinen:
Remarks on the Industrial Application of Inductive Database Technologies.
Constraint-Based Mining and Inductive Databases 2004: 196-215 |
19 | EE | Kimmo Hätönen,
Mika Klemettinen:
Domain Structures in Filtering Irrelevant Frequent Patterns.
Database Support for Data Mining Applications 2004: 289-305 |
2003 |
18 | EE | Kimmo Hätönen,
Jean-François Boulicaut,
Mika Klemettinen,
Markus Miettinen,
Cyrille Masson:
Comprehensive Log Compression with Frequent Patterns.
DaWaK 2003: 360-370 |
17 | | Kimmo Hätönen,
Perttu Halonen,
Mika Klemettinen,
Markus Miettinen:
Queryable Lossless Log Database Compression.
KDID 2003: 70-79 |
16 | | Daniele Braga,
Alessandro Campi,
Stefano Ceri,
Mika Klemettinen,
Pier Luca Lanzi:
Discovering Interesting Information in XML Data with Association Rules.
SAC 2003: 450-454 |
2002 |
15 | | Mika Klemettinen,
Rosa Meo:
Proceedings of the First International Workshop on Inductive Databases, 20 August 2002, Helsinki, Finland
Helsinki University Printing House, Helsinki 2002 |
14 | EE | Daniele Braga,
Alessandro Campi,
Mika Klemettinen,
Pier Luca Lanzi:
Mining Association Rules from XML Data.
DaWaK 2002: 21-30 |
13 | EE | Daniele Braga,
Alessandro Campi,
Stefano Ceri,
Mika Klemettinen,
Pier Luca Lanzi:
A Tool for Extracting XML Association Rules.
ICTAI 2002: 57- |
12 | EE | Kimmo Hätönen,
Mika Klemettinen:
Domain Structures in Filtering Irrelevant Frequent Patterns.
KDID 2002: 50-60 |
1999 |
11 | EE | Jean-François Boulicaut,
Mika Klemettinen,
Heikki Mannila:
Modeling KDD Processes within the Inductive Database Framework.
DaWaK 1999: 293-302 |
10 | | Mika Klemettinen,
Heikki Mannila,
A. Inkeri Verkamo:
Association Rule Selection in a Data Mining Environment.
PKDD 1999: 372-377 |
9 | EE | Mika Klemettinen,
Heikki Mannila,
Hannu Toivonen:
Interactive exploration of interesting findings in the Telecommunication Network Alarm Sequence Analyzer (TASA).
Information & Software Technology 41(9): 557-567 (1999) |
8 | EE | Mika Klemettinen,
Heikki Mannila,
Hannu Toivonen:
Rule Discovery in Telecommunication Alarm Data.
J. Network Syst. Manage. 7(4): (1999) |
1998 |
7 | | Helena Ahonen,
Oskari Heinonen,
Mika Klemettinen,
A. Inkeri Verkamo:
Applying Data Mining Techniques for Descriptive Phrase Extraction in Digital Document Collections.
ADL 1998: 2-11 |
6 | | Jean-François Boulicaut,
Mika Klemettinen,
Heikki Mannila:
Querying Inductive Databases: A Case Study on the MINE RULE Operator.
PKDD 1998: 194-202 |
5 | EE | Helena Ahonen,
Barbara Heikkinen,
Oskari Heinonen,
Jani Jaakkola,
Mika Klemettinen:
Analysis of Document Structures for Element Type Classification.
PODDP 1998: 24-42 |
1997 |
4 | | Mika Klemettinen,
Heikki Mannila,
Hannu Toivonen:
A Data Mining Methodology and Its Application to Semi-automatic Knowledge Acquisition.
DEXA Workshop 1997: 670-677 |
3 | | Helena Ahonen,
Oskari Heinonen,
Mika Klemettinen,
A. Inkeri Verkamo:
Mining in the Phrasal Frontier.
PKDD 1997: 343-350 |
1996 |
2 | EE | Kimmo Hätönen,
Mika Klemettinen,
Heikki Mannila,
Pirjo Ronkainen,
Hannu Toivonen:
Knowledge Discovery from Telecommunication Network Alarm Databases.
ICDE 1996: 115-122 |
1994 |
1 | EE | Mika Klemettinen,
Heikki Mannila,
Pirjo Ronkainen,
Hannu Toivonen,
A. Inkeri Verkamo:
Finding Interesting Rules from Large Sets of Discovered Association Rules.
CIKM 1994: 401-407 |