Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

On Entropy-Based Data Mining.

A. Holzinger, M. Hörtenhuber, C. Mayer, M. Bachler, S. Wassertheurer, A. Pinho, and D. Koslicki. Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, volume 8401 of Lecture Notes in Computer Science, Springer, (2014)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Dr. Marie Davidova University of Stuttgart

David Pfleger University of Stuttgart

Simulationsgestützte PlanungK. Wehking, J. Popp, M. Hagg, and D. Pfleger. Technisches Handbuch Logistik 2: Fördertechnik, Materialfluss, Intralogistik, Springer Berlin Heidelberg, Berlin, Heidelberg, (2020)

Simulationsgestützte PlanungK. Wehking, J. Popp, M. Hagg, and D. Pfleger. Technisches Handbuch Logistik 2: Fördertechnik, Materialfluss, Intralogistik, Springer Berlin Heidelberg, Berlin, Heidelberg, (2020)Ermittlung des logistischen und energetischen Flexibilitätspotentials eines Logistikzentrums unter Berücksichtigung von ElektromobilitätD. Pfleger, K. Walz, R. Schulz, K. Rudion, J. Maurer, and C. Moraw. Wissenschaftliche Gesellschaft für Technische Logistik e. V. (WGTL), (2020)VR-basierte Planung logistischer Systeme: Entwicklung von Einsatzszenarien und Inbetriebnahme einer VersuchsumgebungD. Pfleger, and K. Wehking. Tagungsband zum 13. Fachkolloquium der Wissenschaftlichen Gesellschaft für Technische Logistik e. V. (WGTL), 13, (2017)

David Inkermann

David Briesenick University of Stuttgart

David Schneider University of Stuttgart

Other publications of authors with the same name

Reference-free comparison of microbial communities via de Bruijn graphs.S. Mangul, and D. Koslicki. BCB, page 68-77. ACM, (2016)Workshop on Microbiomics, Metagenomics, and Metabolomics.S. Hassoun, Y. El-Manzalawy, G. Gerber, D. Koslicki, and G. Rosen. BCB, page 618. ACM, (2019)Topological entropy of DNA sequences.D. Koslicki. Bioinformatics, 27 (8): 1061-1067 (2011)IndeCut evaluates performance of network motif discovery algorithms.M. Ansariola, M. Megraw, and D. Koslicki. Bioinformatics, 34 (9): 1514-1521 (2018)On Entropy-Based Data Mining.A. Holzinger, M. Hörtenhuber, C. Mayer, M. Bachler, S. Wassertheurer, A. Pinho, and D. Koslicki. Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, volume 8401 of Lecture Notes in Computer Science, Springer, (2014)Quikr: a method for rapid reconstruction of bacterial communities via compressive sensing.D. Koslicki, S. Foucart, and G. Rosen. Bioinformatics, 29 (17): 2096-2102 (2013)Improving MinHash via the containment index with applications to metagenomic analysis.D. Koslicki, and H. Zabeti. Applied Mathematics and Computation, (2019)SEK: sparsity exploiting k-mer-based estimation of bacterial community composition.S. Chatterjee, D. Koslicki, S. Dong, N. Innocenti, L. Cheng, Y. Lan, M. Vehkaperä, M. Skoglund, L. Rasmussen, E. Aurell and 1 other author(s). Bioinformatics, 30 (17): 2423-2431 (2014)Sparse Recovery by Means of Nonnegative Least Squares.S. Foucart, and D. Koslicki. IEEE Signal Process. Lett., 21 (4): 498-502 (2014)