S. Puuronen

发表

Enterprise Resource Planning Systems Success Assessment: an Integrative Framework Systems Success Assessment: an Integrative Framework Enterprise Resource Planning Enterprise Resource Planning Systems Success Assessment: an Integrative Framework Enterprise Resource Planning Princely Emili Ifinedo Sy

Jussi Hakanen, Markku Sakkinen, M. Korpela, 2022 .

Executives’ Views of Mobile Information Services

S. Puuronen, V. Savolainen, 1999 .

Jyväskylä Studies in Computing 56 Supervised Learning in Knowledge Discovery Systems Feature Extraction for Feature Extraction for Supervised Learning in Knowledge Discovery Systems Feature Extraction for University of Jyväskylä Mykola Pechenizkiy Supervised Learning in Knowledge Discovery Systems

P. Kokol, T. Kärkkäinen, Mykola Pechenizkiy, 2005 .

Dynamic Integration of Data Mining Methods Using Selection in a Knowledge Discovery Management System

V. Terziyan, A. Tsymbal, S. Puuronen, 1999 .

Fuzzy Classifier Based on Fuzzy Decision Tree

S. Puuronen, V. Levashenko, E. Zaitseva, 2007, EUROCON 2007 - The International Conference on "Computer as a Tool".

Arbiter Meta-Learning with Dynamic Selection of Multiple Classifiers

A. Tsymbal, S. Puuronen, 1999 .

Flexible Arithmetic for Huge Numbers with Recursive Series of Operations

V. Terziyan, A. Tsymbal, S. Puuronen, 2002 .

Experimental Investigation of Two Rank Refinement Strategies for Voting with Multiple Experts

V. Terziyan, S. Puuronen, Boris Omelaenko, 2002 .

Multiple Experts Voting : Two Rank Refinement Strategies

V. Terziyan, S. Puuronen, Boris Omelaenko, 2000 .

An Interval Approach to Discover Knowledge from Multiple Fuzzy Estimations

V. Terziyan, Helen Kaikova, S. Puuronen, 2002 .

HANDLING UNCERTAINTY BY DECONTEXTUALIZING ESTIMATED INTERVALS

V. Terziyan, Helen Kaikova, S. Puuronen, 2002 .

Interval-Based Parameter Recognition with the Trends in Multiple Estimations

V. Terziyan, S. Puuronen, H. Kaykova, 2002 .

Representation and Reasoning with Uncertain Temporal Relations

Seppo Puuronen, Vladimir Ryabov, Vagan Y. Terziyan, 1999, FLAIRS.

Towards the framework of adaptive user interfaces for eHealth

Mykola Pechenizkiy, Seppo Puuronen, Ekaterina Vasilyeva, 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

Local Feature Selection with Dynamic Integration of Classifiers

Alexey Tsymbal, Seppo Puuronen, A. Tsymbal, 2001, Fundam. Informaticae.

Local feature selection for heterogeneous problems

Alexey Tsymbal, Iryna Skrypnyk, Seppo Puuronen, 2000 .

Feedback adaptation in web-based learning systems

Mykola Pechenizkiy, Seppo Puuronen, Pekka Räsänen, 2007 .

Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).

On the Use of Information Systems Research Methods in Datamining

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2005 .

A framework for behavior-based detection of user substitution in a mobile context

Seppo Puuronen, Oleksiy Mazhelis, O. Mazhelis, 2007, Comput. Secur..

Dynamic integration of classifiers for handling concept drift

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2008, Inf. Fusion.

Towards more relevance-oriented data mining research

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2008, Intell. Data Anal..

Keynote Paper: Data Mining Researcher, Who is Your Customer? Some Issues Inspired by the Information Systems Field

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2006, 17th International Workshop on Database and Expert Systems Applications (DEXA'06).

Mobile information systems — executives' view

Seppo Puuronen, Vesa Savolainen, S. Puuronen, 1997, Inf. Syst. J..

Feature Extraction for Classification in Knowledge Discovery Systems

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2003, KES.

Handling Local Concept Drift with Dynamic Integration of Classifiers: Domain of Antibiotic Resistance in Nosocomial Infections

Mykola Pechenizkiy, Padraig Cunningham, Alexey Tsymbal, 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).

Knowledge Management Challenges in Knowledge Discovery Systems

A. Tsymbal, M. Pechenizkiy, S. Puuronen, 2005, 16th International Workshop on Database and Expert Systems Applications (DEXA'05).

Does Relevance Matter to Data Mining Research?

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2008, Data Mining: Foundations and Practice.

Knowledge Discovery from Microbiology Data: Many-Sided Analysis of Antibiotic Resistance in Nosocomial Infections

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2005, Wissensmanagement.

Feature Extraction for Dynamic Integration of Classifiers

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2007, Fundam. Informaticae.

Dynamic Integration of Classifiers in the Space of Principal Components

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2003, ADBIS.

Search strategies for ensemble feature selection in medical diagnostics

Mykola Pechenizkiy, Padraig Cunningham, Alexey Tsymbal, 2003, 16th IEEE Symposium Computer-Based Medical Systems, 2003. Proceedings..

Feature Selection for Ensembles of Simple Bayesian Classifiers

Alexey Tsymbal, Seppo Puuronen, David W. Patterson, 2002, ISMIS.

Ensemble feature selection with the simple Bayesian classification in medical diagnostics

Alexey Tsymbal, Seppo Puuronen, A. Tsymbal, 2002, Proceedings of 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002).

Eigenvector-Based Feature Extraction for Classification

Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, 2002, FLAIRS.

Ensemble Feature Selection Based on Contextual Merit and Correlation Heuristics

Alexey Tsymbal, Seppo Puuronen, Iryna Skrypnyk, 2001, ADBIS.

Correlation-Based and Contextual Merit-Based Ensemble Feature Selection

Alexey Tsymbal, Seppo Puuronen, Iryna Skrypnyk, 2001, IDA.

Ensemble Feature Selection Based on the Contextual Merit

Alexey Tsymbal, Seppo Puuronen, Iryna Skrypnyk, 2001, DaWaK.

Dynamic Integration of Decision Committees

Alexey Tsymbal, Seppo Puuronen, A. Tsymbal, 2000, HiPC.

Bagging and Boosting with Dynamic Integration of Classifiers

Alexey Tsymbal, Seppo Puuronen, A. Tsymbal, 2000, PKDD.

Advanced local feature selection in medical diagnostics

Alexey Tsymbal, Seppo Puuronen, Iryna Skrypnyk, 2000, Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000.

Arbiter Meta-Learning with Dynamic Selection of Classifiers and Its Experimental Investigation

Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan, 1999, ADBIS.

Learning feature selection for medical databases

Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan, 1999, Proceedings 12th IEEE Symposium on Computer-Based Medical Systems (Cat. No.99CB36365).

A Dynamic Integration Algorithm for an Ensemble of Classifiers

Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan, 1999, ISMIS.

Dynamic integration of multiple data mining techniques in a knowledge discovery management system

Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan, 1999, Defense, Security, and Sensing.

Feature extraction for classification in the data mining process

Mykola Pechenizkiy, S. Puuronen, Alexey Tsymbal, 2003 .

Ensemble Feature Selection with Dynamic Integration of Classifiers

Alexey Tsymbal, Seppo Puuronen, Iryna Skrypnyk, 2001 .

Managing Training Examples for Fast Learning of Classifiers Ranks

Vagan Y. Terziyan, Seppo Puuronen, Boris Omelaenko, 1998 .

Seppo Puuronen, Vagan Y. Terziyan, V. Terziyan, 2000, Proceedings 11th International Workshop on Database and Expert Systems Applications.

Mining Several Data Bases With an Ensemble of Classifiers

Seppo Puuronen, Vagan Y. Terziyan, Alexander Logvinovsky, 1999, DEXA.

Seppo Puuronen, Vagan Y. Terziyan, V. Terziyan, 1999, CIA.

REASONING WITH MULTILEVEL CONTEXTS IN SEMANTIC METANETWORK

Seppo Puuronen, Vagan Y. Terziyan, V. Terziyan, 2002 .

Reasoning with Multilevel Contexts in Semantic Metanetworks

Vagan Y. Terziyan, Seppo Puuronen, V. Terziyan, 2000 .

Jyväskylä Studies in Computing 62 Design as Discourse Representation, Representational Practice, and Social Practice Jyväskylä Studies in Computing 62 Design as Discourse Computing Milieux: Management of Computing and Information Systems: Project and People Management Systems Analysis and Design Con

S. Hyysalo, N. Iivari, J. Sarkkinen, 2006 .

MULTILEVEL CONTEXT REPRESENTATION USING SEMANTIC METANETWORK

Seppo Puuronen, Vagan Y. Terziyan, V. Terziyan, 1997 .

Masquerader Detection in Mobile Context Based on Behaviour and Environment Monitoring Based on Behaviour and Environment Monitoring Masquerader Detection in Mobile Context Masquerader Detection in Mobile Context Based on Behaviour and Environment Monitoring Jyväskylä Studies in Computing 74 Masquera

Oleksiy Mazhelis, J. Veijalainen, O. Mazhelis, 2022 .

A holistic framework for understanding acceptance of Remote Patient Management (RPM) systems by non-professional users

Mykola Pechenizkiy, A. Tesanovic, S. Puuronen, 2010, 2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS).

The Challenge of Feedback Personalization to Learning Styles in a Web-Based Learning System

Mykola Pechenizkiy, Seppo Puuronen, Ekaterina Vasilyeva, 2006, Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06).