Mykola Pechenizkiy

According to our database1, Mykola Pechenizkiy authored at least 141 papers between 2002 and 2018.

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Bibliography

2018
Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data.
IEEE Trans. Cybernetics, 2018

Assessment of visibility graph similarity as a synchronization measure for chaotic, noisy and stochastic time series.
Social Netw. Analys. Mining, 2018

A bounded-size clustering algorithm on fully-dynamic streaming graphs.
Intell. Data Anal., 2018

Twitter rumour detection in the health domain.
Expert Syst. Appl., 2018

Controversy Rules - Discovering Regions Where Classifiers (Dis-)Agree Exceptionally.
CoRR, 2018

struc2gauss: Structure Preserving Network Embedding via Gaussian Embedding.
CoRR, 2018

Limited Evaluation Cooperative Co-evolutionary Differential Evolution for Large-scale Neuroevolution.
CoRR, 2018

Tink: A Temporal Graph Analytics Library for Apache Flink.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

DyNMF: Role Analytics in Dynamic Social Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Limited evaluation cooperative co-evolutionary differential evolution for large-scale neuroevolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Multi-strategy Differential Evolution.
Proceedings of the Applications of Evolutionary Computation, 2018

ELBA: Exceptional Learning Behavior Analysis.
Proceedings of the 11th International Conference on Educational Data Mining, 2018

Finding Predictive EEG Complexity Features for Classification of Epileptic and Psychogenic Nonepileptic Seizures Using Imperialist Competitive Algorithm.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

2017
A white-box anomaly-based framework for database leakage detection.
J. Inf. Sec. Appl., 2017

Modelling Embodied Mobility Teamwork Strategies in a Simulation-Based Healthcare Classroom.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

BoostEMM - Transparent Boosting using Exceptional Model Mining.
Proceedings of the Second Workshop on MIning DAta for financial applicationS (MIDAS 2017) co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), 2017

Have It Both Ways - From A/B Testing to A&B Testing with Exceptional Model Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

How to Capitalise on Mobility, Proximity and Motion Analytics to Support Formal and Informal Education?
Proceedings of the Joint Proceedings of the Sixth Multimodal Learning Analytics (MMLA) Workshop and the Second Cross-LAK Workshop co-located with 7th International Learning Analytics and Knowledge Conference (LAK 2017), 2017

BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Towards Proximity Tracking and Sensemaking for Supporting Teamwork and Learning.
Proceedings of the 17th IEEE International Conference on Advanced Learning Technologies, 2017

Clustering-Structure Representative Sampling from Graph Streams.
Proceedings of the Complex Networks & Their Applications VI, 2017

Detection of Alcoholism Based on EEG Signals and Functional Brain Network Features Extraction.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Health-related rumour detection on Twitter.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Editorial: A Message from the Editorial Team and an Introduction to the January-March 2016 Issue.
TLT, 2016

Speeding-Up Association Rule Mining With Inverted Index Compression.
IEEE Trans. Cybernetics, 2016

Mining exceptional relationships with grammar-guided genetic programming.
Knowl. Inf. Syst., 2016

A survey on using domain and contextual knowledge for human activity recognition in video streams.
Expert Syst. Appl., 2016

WiBAF into a CMS: Personalization in Learning Environments Made Easy.
Proceedings of the Late-breaking Results, 2016

Modelling Recurrent Events for Improving Online Change Detection.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

A robust density-based clustering algorithm for multi-manifold structure.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

DOBRO: a prediction error correcting robot under drifts.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

On structure preserving sampling and approximate partitioning of graphs.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Finding Incident-Related Social Media Messages for Emergency Awareness.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Adaptive web-based educational application for autistic students.
Proceedings of the Late-breaking Results, 2016

Application of Horizontal Visibility Graph as a Robust Measure of Neurophysiological Signals Synchrony.
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

Structural measures of clustering quality on graph samples.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Pattern-Based Emotion Classification on Social Media.
Proceedings of the Advances in Social Media Analysis, 2015

Predictive analytics on evolving data streams anticipating and adapting to changes in known and unknown contexts.
Proceedings of the 2015 International Conference on High Performance Computing & Simulation, 2015

Ethics and Privacy in EDM.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Grand Challenges for EDM and Related Research Areas.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Hippocrates: A Context-Aware, Collaboration Enabling Search Tool.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

The influence of dataset size on the performance of cell outage detection approach in LTE-A networks.
Proceedings of the 10th International Conference on Information, 2015

2014
Dealing With Concept Drifts in Process Mining.
IEEE Trans. Neural Netw. Learning Syst., 2014

A survey on concept drift adaptation.
ACM Comput. Surv., 2014

Rule-based Emotion Detection on Social Media: Putting Tweets on Plutchik's Wheel.
CoRR, 2014

Applying Learning to Rank Techniques to Contextual Suggestions.
Proceedings of The Twenty-Third Text REtrieval Conference, 2014

A DSL based on CSS for hypertext adaptation.
Proceedings of the 25th ACM Conference on Hypertext and Social Media, 2014

Learning to Teach like a Bandit.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

Hunting the Unknown - White-Box Database Leakage Detection.
Proceedings of the Data and Applications Security and Privacy XXVIII, 2014

Towards the Stress Analytics Framework: Managing, Mining, and Visualizing Multi-modal Data for Stress Awareness.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2013
Techniques for Discrimination-Free Predictive Models.
Proceedings of the Discrimination and Privacy in the Information Society, 2013

Predictive Handling of Asynchronous Concept Drifts in Distributed Environments.
IEEE Trans. Knowl. Data Eng., 2013

HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning.
Inf. Sci., 2013

Introduction to the special issue on handling concept drift in adaptive information systems.
Evolving Systems, 2013

A comparative study of dimensionality reduction techniques to enhance trace clustering performances.
Expert Syst. Appl., 2013

Predictive User Modeling with Actionable Attributes.
CoRR, 2013

Discovering temporal hidden contexts in web sessions for user trail prediction.
Proceedings of the 22nd International World Wide Web Conference, 2013

RBEM: a rule based approach to polarity detection.
Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining, 2013

Cross-lingual polarity detection with machine translation.
Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining, 2013

Predicting Current User Intent with Contextual Markov Models.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

ACLAC: An approach for adaptive closed-loop anesthesia control.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

Stress detection from speech and Galvanic Skin Response signals.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

2012
Trends in computer-based medical systems.
SIGHIT Record, 2012

ReliefF-MI: An extension of ReliefF to multiple instance learning.
Neurocomputing, 2012

Beating the baseline prediction in food sales: How intelligent an intelligent predictor is?
Expert Syst. Appl., 2012

Predicting Multi-class Customer Profiles Based on Transactions: a Case Study in Food Sales.
Proceedings of the Research and Development in Intelligent Systems XXIX, 2012

Mobile Sentiment Analysis.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Stess@Work: from measuring stress to its understanding, prediction and handling with personalized coaching.
Proceedings of the ACM International Health Informatics Symposium, 2012

CurriM: Curriculum Mining.
Proceedings of the 5th International Conference on Educational Data Mining, 2012

Stress Analytics in Education.
Proceedings of the 5th International Conference on Educational Data Mining, 2012

2011
Introduction to the special section on educational data mining.
SIGKDD Explorations, 2011

Generic Adaptation Framework: a Process-Oriented Perspective.
J. Digit. Inf., 2011

Bridging Navigation, Search and Adaptation - Adaptive Hypermedia Models Evolution.
Proceedings of the WEBIST 2011, 2011

SentiCorr: Multilingual Sentiment Analysis of Personal Correspondence.
Proceedings of the Data Mining Workshops (ICDMW), 2011

What's Your Current Stress Level? Detection of Stress Patterns from GSR Sensor Data.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Context-Aware Personal Route Recognition.
Proceedings of the Discovery Science - 14th International Conference, 2011

Handling Concept Drift in Process Mining.
Proceedings of the Advanced Information Systems Engineering, 2011

2010
Knowledge discovery and computer-based decision support in biomedicine.
Artificial Intelligence in Medicine, 2010

Feature selection is the ReliefF for multiple instance learning.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Learning with Actionable Attributes: Attention -- Boundary Cases!
Proceedings of the ICDMW 2010, 2010

Discrimination Aware Decision Tree Learning.
Proceedings of the ICDM 2010, 2010

Adaptation and search: from Dexter and AHAM to GAF.
Proceedings of the HT'10, 2010

Provenance meets adaptive hypermedia.
Proceedings of the HT'10, 2010

Reducing Dimensionality in Multiple Instance Learning with a Filter Method.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Towards EDM Framework for Personalization of Information Services in RPM Systems.
Proceedings of the Educational Data Mining 2010, 2010

Class Association Rules Mining from Students' Test Data.
Proceedings of the Educational Data Mining 2010, 2010

A holistic framework for understanding acceptance of Remote Patient Management (RPM) systems by non-professional users.
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010

Handling concept drift in medical applications: Importance, challenges and solutions.
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010

Heart failure hospitalization prediction in remote patient management systems.
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010

2009
Online mass flow prediction in CFB boilers with explicit detection of sudden concept drift.
SIGKDD Explorations, 2009

AH 12 years later: a comprehensive survey of adaptive hypermedia methods and techniques.
The New Review of Hypermedia and Multimedia, 2009

Guest editorial for DKE special issue on "Biomedical Data Mining".
Data Knowl. Eng., 2009

Using minimum description length for process mining.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Handling outliers and concept drift in online mass flow prediction in CFB boilers.
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, 2009

Food Wholesales Prediction: What Is Your Baseline?
Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009

From Local Patterns to Global Models: Towards Domain Driven Educational Process Mining.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Online Mass Flow Prediction in CFB Boilers.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2009

Towards Context Aware Food Sales Prediction.
Proceedings of the ICDM Workshops 2009, 2009

Building Classifiers with Independency Constraints.
Proceedings of the ICDM Workshops 2009, 2009

Dynamic and adaptive hypertext: generic frameworks, approaches and techniques.
Proceedings of the HYPERTEXT 2009, Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, Torino, Italy, June 29, 2009

Process Mining Online Assessment Data.
Proceedings of the Educational Data Mining, 2009

Predicting Students Drop Out: A Case Study.
Proceedings of the Educational Data Mining, 2009

OMFP: An Approach for Online Mass Flow Prediction in CFB Boilers.
Proceedings of the Discovery Science, 12th International Conference, 2009

eHealth personalization in the next generation RPM systems.
Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, 2009

2008
Does Relevance Matter to Data Mining Research?.
Proceedings of the Data Mining: Foundations and Practice, 2008

Dynamic integration of classifiers for handling concept drift.
Information Fusion, 2008

Towards more relevance-oriented data mining research.
Intell. Data Anal., 2008

Tailoring of Feedback in Web-Based Learning: The Role of Response Certitude in the Assessment.
Proceedings of the Intelligent Tutoring Systems, 9th International Conference, 2008

Food Sales Prediction: "If Only It Knew What We Know".
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Tailoring Feedback in Online Assessment: Influence of Learning Styles on the Feedback Preferences and Elaborated Feedback Effectiveness.
Proceedings of the 8th IEEE International Conference on Advanced Learning Technologies, 2008

Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study.
Proceedings of the Educational Data Mining 2008, 2008

Immediate Elaborated Feedback Personalization in Online Assessment.
Proceedings of the Times of Convergence. Technologies Across Learning Contexts, 2008

Defining Adaptation in a Generic Multi Layer Model: CAM: The GRAPPLE Conceptual Adaptation Model.
Proceedings of the Times of Convergence. Technologies Across Learning Contexts, 2008

Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance.
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008

Adaptation of Elaborated Feedback in e-Learning.
Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2008

2007
Feature Extraction for Dynamic Integration of Classifiers.
Fundam. Inform., 2007

Personalization of Immediate Feedback to Learning Styles.
Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, 2007

Workshop on Educational Data Mining @ ICALT07 (EDM@ICALT07).
Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, 2007

2006
Local Dimensionality Reduction and Supervised Learning Within Natural Clusters for Biomedical Data Analysis.
IEEE Trans. Information Technology in Biomedicine, 2006

The impact of sample reduction on PCA-based feature extraction for supervised learning.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

The Challenge of Feedback Personalization to Learning Styles in a Web-Based Learning System.
Proceedings of the 6th IEEE International Conference on Advanced Learning Technologies, 2006

Dynamic Integration with Random Forests.
Proceedings of the Machine Learning: ECML 2006, 2006

Keynote Paper: Data Mining Researcher, Who is Your Customer? Some Issues Inspired by the Information Systems Field.
Proceedings of the 17th International Workshop on Database and Expert Systems Applications (DEXA 2006), 2006

Handling Local Concept Drift with Dynamic Integration of Classifiers: Domain of Antibiotic Resistance in Nosocomial Infections.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

2005
Diversity in search strategies for ensemble feature selection.
Information Fusion, 2005

Knowledge Discovery in Microbiology Data: Analysis of Antibiotic Resistance in Nosocomial Infections.
Proceedings of the WM 2005: Professional Knowledge Management - Experiences and Visions, Contributions to the 3rd Conference Professional Knowledge Management, 2005

Knowledge Discovery from Microbiology Data: Many-Sided Analysis of Antibiotic Resistance in Nosocomial Infections.
Proceedings of the Professional Knowledge Management, Third Biennial Conference, 2005

Sequential Genetic Search for Ensemble Feature Selection.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Knowledge Management Challenges in Knowledge Discovery Systems.
Proceedings of the 16th International Workshop on Database and Expert Systems Applications (DEXA 2005), 2005

Competitive Advantage from Data Mining: Some Lessons Learnt in the Information Systems Field.
Proceedings of the 16th International Workshop on Database and Expert Systems Applications (DEXA 2005), 2005

Data Mining Strategy Selection via Empirical and Constructive Induction.
Proceedings of the IASTED International Conference on Databases and Applications, 2005

Towards the Framework of Adaptive User Interfaces for eHealth.
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005

Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis.
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005

The Impact of Feature Extraction on the Performance of a Classifier: kNN, Naïve Bayes and C4.5.
Proceedings of the Advances in Artificial Intelligence, 2005

2004
Diversity in Random Subspacing Ensembles.
Proceedings of the Data Warehousing and Knowledge Discovery, 6th International Conference, 2004

PCA-based Feature Transformation for Classification: Issues in Medical Diagnostics.
Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems (CBMS 2004), 2004

2003
Feature Extraction for Classification in Knowledge Discovery Systems.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

Search Strategies for Ensemble Feature Selection in Medical Diagnostics.
Proceedings of the 16th IEEE Symposium on Computer-Based Medical Systems (CBMS 2003), 2003

Dynamic Integration of Classifiers in the Space of Principal Components.
Proceedings of the Advances in Databases and Information Systems, 2003

2002
Eigenvector-Based Feature Extraction for Classification.
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference, 2002


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