Data and Artificial Intelligence

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  • 2024

    A canon is a blunt force instrument: data science, canons, and generative frictions

    de Groot, A., Fletcher, G. H. L., van Manen, G., Saxena, A., Serebrenik, A. & Taylor, L. E. M., 3 Sept 2024, Dialogues in Data Power Shifting Response-abilities in a Datafied World. Jarke, J. & Bates, J. (eds.). Bristol University Press, p. 186-214

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

    Open Access
  • RATE-Analytics: Next Generation Predictive Analytics for Data-Driven Banking and Insurance

    Collaris, D., Pechenizkiy, M. & van Wijk, J. J., 28 Oct 2024, Commit2Data. Haverkort, B. R., de Jongste, A., van Kuilenburg, P. & Vromans, R. D. (eds.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, p. 8:1-8:11 11 p. (OpenAccess Series in Informatics (OASIcs); vol. 124).

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  • 2022

    Algorithm Recommendation for Data Streams

    Brazdil, P., van Rijn, J. N., Soares, C. & Vanschoren, J., 2022, Cognitive Technologies. Springer, p. 201-218 18 p. (Cognitive Technologies).

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

    Open Access
    1 Citation (Scopus)
  • Automating Data Science

    Brazdil, P., van Rijn, J. N., Soares, C. & Vanschoren, J., 2022, Cognitive Technologies. Springer, p. 269-282 14 p. (Cognitive Technologies).

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

    Open Access
  • Automating the Design of Complex Systems

    Brazdil, P., van Rijn, J. N., Soares, C. & Vanschoren, J., 2022, Cognitive Technologies. Springer, p. 283-294 12 p. (Cognitive Technologies).

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

    Open Access
  • Automating Workflow/Pipeline Design

    Brazdil, P., van Rijn, J. N., Soares, C. & Vanschoren, J., 2022, Cognitive Technologies. Springer, p. 123-140 18 p. (Cognitive Technologies).

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

    Open Access
    1 Citation (Scopus)
  • Concluding Remarks

    Brazdil, P., van Rijn, J. N., Soares, C. & Vanschoren, J., 2022, Cognitive Technologies. Springer, p. 329-337 9 p. (Cognitive Technologies).

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

    Open Access
  • Dataset Characteristics (Metafeatures)

    Brazdil, P., van Rijn, J. N., Soares, C. & Vanschoren, J., 2022, Cognitive Technologies. Springer, p. 53-75 23 p. (Cognitive Technologies).

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

    Open Access
    3 Citations (Scopus)
  • Evaluating Recommendations of Metalearning/AutoML Systems

    Brazdil, P., van Rijn, J. N., Soares, C. & Vanschoren, J., 2022, Cognitive Technologies. Springer, p. 39-52 14 p. (Cognitive Technologies).

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

    Open Access
    1 Citation (Scopus)
  • Introduction

    Brazdil, P., van Rijn, J. N., Soares, C. & Vanschoren, J., 2022, Cognitive Technologies. Springer, p. 3-17 15 p. (Cognitive Technologies).

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

    Open Access
  • Introduction to the theory of imprecise probability

    Quaeghebeur, E., 2022, Uncertainty in Engineering: Introduction to Methods and Applications. Aslett, L. J. M., Coolen, F. P. A. & De Bock, J. (eds.). 1 ed. Cham: Springer, p. 37-50 14 p. (SpringerBriefs in Statistics).

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

    Open Access
  • Learning from Metadata in Repositories

    Brazdil, P., van Rijn, J. N., Soares, C. & Vanschoren, J., 2022, Cognitive Technologies. Springer, p. 311-327 17 p. (Cognitive Technologies).

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

    Open Access
  • Metadata Repositories

    Brazdil, P., van Rijn, J. N., Soares, C. & Vanschoren, J., 2022, Cognitive Technologies. Springer, p. 297-310 14 p. (Cognitive Technologies).

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

    Open Access
  • Metalearning Approaches for Algorithm Selection I (Exploiting Rankings)

    Brazdil, P., van Rijn, J. N., Soares, C. & Vanschoren, J., 2022, Cognitive Technologies. Springer, p. 19-37 19 p. (Cognitive Technologies).

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

    Open Access
    12 Citations (Scopus)
  • Metalearning Approaches for Algorithm Selection II

    Brazdil, P., van Rijn, J. N., Soares, C. & Vanschoren, J., 2022, Cognitive Technologies. Springer, p. 77-102 26 p. (Cognitive Technologies).

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

    Open Access
    3 Citations (Scopus)
  • Metalearning for Hyperparameter Optimization

    Brazdil, P., van Rijn, J. N., Soares, C. & Vanschoren, J., 2022, Cognitive Technologies. Springer, p. 103-122 20 p. (Cognitive Technologies).

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

    Open Access
    2 Citations (Scopus)
  • Metalearning in Ensemble Methods

    Brazdil, P., van Rijn, J. N., Soares, C. & Vanschoren, J., 2022, Cognitive Technologies. Springer, p. 189-200 12 p. (Cognitive Technologies).

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

    Open Access
    4 Citations (Scopus)
  • Setting Up Configuration Spaces and Experiments

    Brazdil, P., van Rijn, J. N., Soares, C. & Vanschoren, J., 2022, Cognitive Technologies. Springer, p. 143-168 26 p. (Cognitive Technologies).

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

    Open Access
  • 2021

    An Introduction to Imprecise Markov Chains

    Krak, T., 15 Feb 2021, Optimization Under Uncertainty with Applications to Aerospace Engineering. Vasile, M. (ed.). Springer Nature, p. 141-179 39 p.

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

    1 Citation (Scopus)
  • Computing Expected Hitting Times for Imprecise Markov Chains

    Krak, T., 2021, (Accepted/In press) Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications: Proceedings of the 2020 UQOP International Conference. Vasile, M. & Quagliarella, D. (eds.). Springer

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

  • Forecasting

    Mocanu, E., Mocanu, D. C., Paterakis, N. G. & Gibescu, M., 3 Jul 2021, Local Electricity Markets. Pinto, T., Vale, Z. & Widergren, S. (eds.). Elsevier, p. 243-257 15 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

  • 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
    30 Citations (Scopus)
    2 Downloads (Pure)
  • A review of unsupervised and semi-supervised blocking methods for record linkage

    O’Hare, K., Jurek-Loughrey, A. & Campos, C. D., 2019, Linking and mining heterogeneous and multi-view data. P., D. & Jurek-Loughrey, A. (eds.). Cham: Springer, p. 79-105 27 p.

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

  • Graph query processing

    Salihoglu, S. & Yakovets, N., 20 Feb 2019, Encyclopedia of Big Data Technologies. Sakr, S. & Zomaya, A. Y. (eds.). Berlin: Springer, p. 890-898 9 p.

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

    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.

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  • 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

    13 Citations (Scopus)
  • 2018

    A survey of benchmarks for graph-processing systems

    Fletcher, G. H. L., Bonifati, A., Hidders, A. J. H. & Iousup, A., 2018, Graph Data Management. Fletcher, G., Hidden, J. & Larriba-Pey, J. (eds.). Cham: Springer, p. 163-186 24 p.

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

  • 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

    4 Citations (Scopus)
  • 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.

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  • 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

    9 Citations (Scopus)
    9 Downloads (Pure)
  • Using Conditional Copula to Estimate Value-at-Risk in Vietnam's Foreign Exchange Market

    Nguyen, V.-L. & Huynh, V.-N., 2015, Springer . Springer, p. 471-482

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

    1 Citation (Scopus)
  • 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

    21 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 Inc., 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 Inc., 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

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  • Storing and indexing massive RDF datasets

    Luo, Y., Picalausa, F., Fletcher, G. H. L., Hidders, A. J. H. & Vansummeren, S., 2012, Semantic search over the web. Virgilio, De, R., Guerra, F. & Velegrakis, Y. (eds.). Germany: Springer, p. 31-60 417 p. (Data-Centric Systems and Applications).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

    30 Citations (Scopus)
    13 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

    3 Citations (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

    Introduction

    Romero, C., Ventura, S., Pechenizkiy, M. & Baker, R. S. J. D., 1 Jan 2010, Handbook of Educational Data Mining. CRC Press, p. 1-6 6 p.

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

    24 Citations (Scopus)
  • 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

    5 Citations (Scopus)
    2 Downloads (Pure)
  • 2009

    Towards a general framework for effective solutions to the data mapping problem

    Fletcher, G. H. L. & Wyss, C. M., 2009, Journal on Data Semantics XIV. Spaccapietra, S. & Delcambre, L. (eds.). Berlin: Springer, p. 37-73 (Lecture Notes in Computer Science; vol. 5880).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

    4 Citations (Scopus)
  • 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

    6 Citations (Scopus)