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Matthias Böhm

Univ.-Prof. Dipl.-Wirt.-Inf. Dr.-Ing.

20192022

Research output per year

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Research Output

  • 2 Conference contribution
  • 1 Book
  • 1 Entry for encyclopedia/dictionary
  • 1 Article

Apache SystemML

Boehm, M., 2019, Encyclopedia of Big Data Technologies 2019.

Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionaryResearch

Compressed linear algebra for declarative large-scale machine learning

Elgohary, A., Boehm, M., Haas, P. J., Reiss, F. R. & Reinwald, B., 2019, In : Communications of the ACM. 62, 5, p. 83-91

Research output: Contribution to journalArticleResearchpeer-review

Data Management in Machine Learning Systems

Boehm, M., Kumar, A. & Yang, J., 2019, Morgan & Claypool Publishers. 173 p.

Research output: Book/ReportBookResearchpeer-review

Efficient Data-Parallel Cumulative Aggregates for Large-Scale Machine Learning

Boehm, M., Evfimievski, A. V. & Reinwald, B., 2019, BTW. p. 267-286

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions

Sommer, J., Boehm, M., Evfimievski, A. V., Reinwald, B. & Haas, P. J., 2019, SIGMOD. p. 1607-1623

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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  • Projects

    ExDRa - Exploratory Data Science over Raw Data

    Böhm, M.

    1/06/1931/05/22

    Project: Research project