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2019

Approximating (k,ℓ)-center clustering for curves

Buchin, K., Driemel, A., Gudmundsson, J., Horton, M., Kostitsyna, I., Löffler, M. & Struijs, M., 2 Jan 2019, 30th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA). Chan, T. M. (ed.). Society for Industrial and Applied Mathematics (SIAM), p. 2922-2938 17 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Open Access
2 Citations (Scopus)
1 Downloads (Pure)

Meta-learning

Vanschoren, J., 2019, Automatic Machine Learning: Methods, Systems, Challenges. Hutter, F., Kotthoff, L. & Vanschoren, J. (eds.). Cham: Springer, p. 39-61 27 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Open Access
File
25 Downloads (Pure)

The role of deep learning in improving healthcare

Thaler, S. & Menkovski, V., 1 Jan 2019, Data Science for Healthcare: Methodologies and Applications. Consoli, S., Reforgiato Recupero, D. & Petković, M. (eds.). Cham: Springer, p. 75-116 42 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

2 Citations (Scopus)
2018

Preface

Duivesteijn, W., Siebes, A. & Ukkonen, A., 1 Jan 2018, Advances in Intelligent Data Analysis XVII: 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings. Duivesteijn, W., Siebes, A. & Ukkonen, A. (eds.). Berlin: Springer, p. V-VI 2 p. (Lecture Notes in Computer Science; vol. 11191).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

2017

An algorithm, implementation and execution ontology design pattern

Ławrynowicz, A., Esteves, D., Panov, P., Soru, T., Džeroski, S. & Vanschoren, J., 27 Dec 2017, Advances in Ontology Design and Patterns. Amsterdam: IOS Press, p. 55-68 14 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

2016

An algorithm, implementation and execution ontology design pattern

Lawrynowicz, A., Esteves, D., Panov, P., Soru, T., Dzeroski, S. & Vanschoren, J., 1 Nov 2016, ISWC Workshop on Ontology and Semantic Web Patterns.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Open Access
File
105 Downloads (Pure)
2015

Pattern-based emotion classification on social media

Tromp, E. & Pechenizkiy, M., 2015, Advaces in Social Media Research. Medhat Gaber, M., Cocea, M., Wiratunga, N. & Goker, A. (eds.). Cham: Springer, p. 1-20 151 p. (Studies in Computational Intelligence; vol. 602).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

7 Citations (Scopus)
9 Downloads (Pure)
2014

Large-scale sensor network analysis: applications in structural health monitoring

Vanschoren, J., Vespier, U., Miao, S., Meeng, M., Cachucho, R. & Knobbe, A., 2014, Big Data Management, Technologies, and Applications. Hu, W. C. & Kaabouch, N. (eds.). Hershey: IGI Global, p. 314-347 34 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

2013

Techniques for discrimination-free predictive models

Kamiran, F., Calders, T. G. K. & Pechenizkiy, M., 2013, Discrimination and Privacy in the Information Society: Effects of Data Mining and Profiling Large Databases. Custers, B. H. M., Calders, T. G. K., Schermer, B. W. & Zarsky, T. Z. (eds.). Berlin: Springer, p. 223-239 (Studies in Applied Philosophy, Epistemology and Rational Ethics; vol. 3).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

8 Citations (Scopus)
4 Downloads (Pure)
2012

Adaptive P2P streaming

Bertone, F., Menkovski, V. & Liotta, A., 2012, Streaming media with peer-to-peer networks : wireless perspectives. Fleury, M. & Qadri, N. (eds.). IDEA Group Publishing, p. 52-73 404 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

3 Citations (Scopus)

Mechanisms for parallel transport

Okyere-Benya, J., Exarchakos, G., Menkovski, V., Liotta, A. & Giaccone, P., 2012, Next generation content delivery infrastructures. Fortino, G. & Palau, C. E. (eds.). IDEA Group Publishing, p. 172-198 (Premier Reference Source).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

QoE for mobile streaming

Menkovski, V. & Liotta, A., 2012, Mobile multimedia : user and technology perspectives. Tjondronegoro, D. (ed.). INTECH publishing, p. 31-48 156 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

Open Access
File
53 Downloads (Pure)

Technologies for dealing with information overload : an engineers' point of view

Calders, T. G. K., Fletcher, G. H. L., Kamiran, F. & Pechenizkiy, M., 2012, Information overload : an international challenge for professional engineers and technical communicators. Strother, J. B., Ulijn, J. M. & Fazal, Z. (eds.). Wiley-IEEE, p. 175-202

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

1 Citation (Scopus)
2011

Introduction

Romero, C., Ventura, S., Pechenizkiy, M. & Baker, de, R. S. J., 2011, Handbook of Educational Data Mining. Romero, C., Ventura, S., Pechenizkiy, M. & Baker, R. (eds.). London: CRC Press, p. 1-6 (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

Process mining from educational data

Trcka, N., Pechenizkiy, M. & Aalst, van der, W. M. P., 2011, Handbook of Educational Data Mining. Romero, C., Ventura, S., Pechenizkiy, M. & Baker, R. (eds.). London: CRC Press, p. 123-142 (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

1 Downloads (Pure)
2010

Towards the generic framework for utility considerations in data mining research

Puuronen, S. & Pechenizkiy, M., 2010, Data Mining for Business Applications. Soares, C. & Ghani, R. (eds.). Amsterdam: IOS Press, p. 49-65 (Frontiers in Artificial Intelligence and Applications; vol. 218).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

4 Citations (Scopus)
2 Downloads (Pure)
2008

Does relevance matter to data mining research?

Pechenizkiy, M., Puuronen, S. & Tsymbal, A., 2008, Data Mining: Foundations and Practice. Lin, T. Y., Xie, Y., Wasilewska, A. & Liau, C. J. (eds.). Berlin: Springer, p. 251-275 (Studies in Computational Intelligence; vol. 118).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

4 Citations (Scopus)