Talks, Tutorials, Paper and Poster Presentations
What's your current stress level?
Detection of stress patterns from GSR sensor data. (HaCDAIS @
ICDM’2011) Vancouver, Canada (December 2011)
SentiCorr:
Multilingual Sentiment Analysis of Personal Correspondence. (Demo @ ICDM’2011) Vancouver, Canada
(December 2011)
Stress@work: From Stress Measurement to Understanding the
Stressors. University of Portsmouth, UK (November 2011)
Context
Aware Predictive Analytics: Motivation, Potential, Challenges. University
of Bournemouth, UK (October 2011)
Handling Concept Drift: Importance, Challenges and Solutions. Tutorial at the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2011), Shenzhen, China (May 2011)
Educational Data Mining
& Learning Analytics for All: Potential, Dangers,
Challenge. Learning Analytics Seminar,
Utrecht, the Netherlands (August 2011)
Learning with Actionable
Attributes: Learning to Effectively Help Those Who Need Help. University of Sydney, Australia
(December 2010)
Heart Failure Hospitalization
Prediction in Remote Patient Management Systems. The
24th IEEE Symposium on
Computer Based Medical Systems (IEEE CBMS’2010), Perth, Australia (October 2010)
Handling Concept Drift in Medical Applications: Importance,
Challenges and Solutions. Tutorial
at the 24th IEEE Symposium
on Computer Based Medical Systems (IEEE CBMS’2010), Perth, Australia (October 2010)
Dealing with Concept Drift in Adaptive Information Systems. “Learning from Evolving Data” tutorial
block at ECML/PKDD 2010, Barcelona,
Spain, (September 2010)
Handling
Concept Drift: An Application Perspective. DHDHD 2010 Workshop, TU/e, Eindhoven (September 2010)
Towards EDM framework for
Personalization of Information Services in RPM Systems (poster)
The 3rd International Conference on
Educational Data Mining (EDM’2010), Pittsburg, USA (July 2010)
Context-aware prediction in
the wild: lessons learnt from case studies. Information
Systems colloquium (IE&IS/IS - W&I/IS), TU/e, Eindhoven (October 2009)
OMFP: An Approach for Online
Mass Flow Prediction in CFB Boilers. The 12th International Conference on
Discovery Science (DS’09), Porto,
Portugal (October 2009)
Process
Mining the Student Assessment Data. (poster) The 2nd International Conference on Educational Data Mining (EDM’09),
Cordoba, Spain (July 2009)
Online Mass
Flow Prediction in CFB Boilers. The 9th Industrial Conference on Data
Mining (ICDM’09),
Leipzig, Germany (July 2009)
Handling
Outliers and Concept Drift in Online Mass Flow Prediction in CFB Boilers. The 3rd International Workshop on Knowledge
Discovery from Sensor Data (SensorKDD-2009), Paris, France (June
2009)
Food Sales Prediction: “If Only It Knew What We Know”. The 2nd International Workshop on Domain Driven Data Mining (DDDM’08 at IEEE ICDM 2008), Pisa, Italy (December 2009).
Educational Data Mining, Full day tutorial at Open University,
Heerlen, the Netherlands, (December 2008)
The
Cross-Roads of Data Mining, Adaptive Systems and E-Learning. Philips High Tech Campus,
Mining the
Student Assessment Data: Lessons Drawn from a Small Scale Case Study. (poster) The 1st International Conference on Educational Data Mining (EDM’08),
Montreal, Canada (June 2008)
Effectiveness
of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial
Resistance. The 21st IEEE Symposium on Computer
Based Medical Systems (IEEE CBMS’08, Data Mining Track), Jyväskylä, Finland (June 2008)
Educational
Data Mining Frontiers. Education Day (Faculty of Electrical
Engineering, TU/e),
MDL Principle in Process Models Evaluation. Spring
Workshop on Mining and Learning (SML’08),
Facets of
Concept Drift Problem in Adaptive Information Systems. LIAAD/LIACC
Seminar,
A Framework for Guiding the Museum Tour Personalization. Personalization Enhanced Access to Cultural
Heritage (PATCH’07) Workshop at UM’2007,
Handling
Concept Drift in Adaptive Information Systems. The GOOD-dag 2007, Hingene, Bornem, Belgium.
Random
Forest with Dynamic Integration of Trees. (poster) The 17th European Conf. on Machine
Learning (ECML/PKDD'06),
Berlin, Germany.
Towards Better Understanding
of Circulating Fluidized Bed Boilers: a Data Mining Approach. (poster) The
2nd Workshop on Practical Data Mining: Applications, Experiences and
ChallengesDMBiz’06 (ECML/PKDD’06),
Dynamic
Integration of Classifiers for Handling Concept Drift. The 19th IEEE Symposium on Computer
Based Medial Systems (IEEE CBMS’06, Data Mining Track),
Class Noise and
Supervised Learning in Medical Domains: The Effect of Feature Extraction. The 19st
IEEE Symposium on Computer Based Medial Systems (IEEE CBMS’06, Data Mining
Track),
The
Impact of Sample Reduction on PCA-based Feature Extraction for Supervised
Learning. The 21st ACM Symposium on Applied
Computing (ACM SAC’06, Data Mining Track), Dijon, France, 2006
Feature Extraction for
Supervised Learning in Knowledge Discovery Systems. PhD thesis public examination, Agora, Aud. 2,
JYU, Jyväskylä, 12:00, December 20, 2005
Why Data Mining Does
Not Contribute to Business? Data Mining for Business
Workshop (DMBiz) as part of the 16th European
Conference on Machine Learning (ECML) and the 9th European Conference on
Principles and Practice of Knowledge Discovery in Databases (PKDD), and Porto,
Portugal, 2005
On
Combining Principal Components with Parametric LDA-based Feature Extraction for
Supervised Learning. ADBIS
Workshop on Data Mining and Knowledge Discovery, Tallinn, Estonia, 2005
Competitive advantage
from Data Mining: Lessons learnt in the Information Systems field. (Invited
paper) Int. DEXA’05 Workshop on Philosophies and Methodologies for
Knowledge Discovery PMKD’05, Copenhagen, Denmark, 2005
Knowledge Management
Challenges in Knowledge Discovery Systems. Int. DEXA’05
Workshop on Theory and Applications of Knowledge Management TAKMA’05,
Copenhagen, Denmark, 2005
Sequential Genetic Search for Ensemble Feature Selection. The 19th International Joint Conference on Artificial Intelligence IJCAI-05, Edinburgh, UK, 2005
Local
Dimensionality Reduction within Natural Clusters for Medical Data Analysis. The 18th IEEE Int. Symposium on
Computer-Based Medical Systems CBMS 2005, Dublin, Ireland, 2005
The Impact of Feature Extraction on the Performance of a Classifier: kNN, Na‹ve Bayes and C4.5. The 18th CSCSI Conference on Artificial Intelligence AI’05, Victoria, Canada, 2005
Knowledge Discovery from Microbiology Data: Many-sided Analysis of Antibiotic Resistance in Nosocomial Infections. The 3rd Conference Professional Knowledge Management, Current Aspects of Knowledge Management in Medicine Workshop KMM’05, Kaiserslautern, Germany, 2005
Data Mining
Strategy Selection via Empirical and Constructive Induction. The 23rd IASTED International
Multi-Conference on Applied Informatics,
The Iterative and Interactive
Data Mining Process: The Information Systems Development and Knowledge
Management Perspectives. The 4th IEEE Int. Conf on
Data Mining ICDM’04, 3rd Foundation of Data Mining Workshop,
On the Use
of Information Systems Research Methods in Data Mining. The 13th Int. Conf.
On Information Systems Development, Vilnius, Lithuania, 2004
Meta-Knowledge
Management in Multistrategy
Process-Oriented Knowledge Discovery Systems. The 13th Int. Conf.
On Information Systems Development, Vilnius, Lithuania, 2004
Feature Extraction for
Classification in Knowledge Discovery Systems. The 7th Int.
Conf. on Knowledge-Based Intelligent Information & Engineering
Systems KES’03, University of Oxford,
United Kingdom, 2003
Feature Extraction for
Classification in the Data Mining Process. The 10th Int. Conf. Knowledge-Dialogue-Solution
KDS’03,
PCA-based Feature Extraction
for Classification.