Capstone Presentation: Discrete Optimization Problems in Data Science - Practical Solutions for Hard Problems

Many tasks in Data Science and Machine Learning can be formulated as discrete optimization problems. Often, these optimization problems turn out to be algorithmically hard. Using example problems from network analysis and decision tree learning, we discuss how to obtain efficient solvers for such problems despite their hardness.

Publication Details

Journal
Thüringer Universitäts- und Landesbibliothek
Published
2025-05-14
DOI
https://doi.org/10.22032/dbt.66099
Primary Topic
Microbial Natural Products and Biosynthesis
Type
article
Field-Weighted Citation Impact
0.00
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article

Capstone Presentation: Discrete Optimization Problems in Data Science - Practical Solutions for Hard Problems

Thüringer Universitäts- und Landesbibliothek
Microbial Natural Products and Biosynthesis
article

Capstone Presentation: Discrete Optimization Problems in Data Science - Practical Solutions for Hard Problems

article en

Abstract

Many tasks in Data Science and Machine Learning can be formulated as discrete optimization problems. Often, these optimization problems turn out to be algorithmically hard. Using example problems from network analysis and decision tree learning, we discuss how to obtain efficient solvers for such problems despite their hardness.

Thüringer Universitäts- und Landesbibliothek
Openalex Percentile: Top 49%
Microbial Natural Products and Biosynthesis
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Capstone Presentation: Discrete Optimization Problems in Data Science - Practical Solutions for Hard Problems · Thüringer Universitäts- und Landesbibliothek (2025) | TGRS Research Map | TGRS