Master Projects

Master projects are research-oriented projects with 3-6 students for the duration of one semester (12 credits). Descriptions of all HPI master projects are here as pdf files.

• Summer 2026: ptFD-Miner
• Summer 2025: The Early Bird: Upstream Change Detection for ML Pipelines
• Summer 2024: DBStrange: Exploring the Multiverse of Entity Resolution Datasets
• Winter 2023/24: Constrainted-based Schema Matching
  Results published at EDBT 2025
• Winter 2022/23: CAST: Classifying Time Series Anomalies
• Summer 2022: Music Walks
• Winter 2021/22: Wikipedia Cleanup: Recognizing Stale Data
  Results published at EDBT 2023
• Summer 2021: Generating Art using GANs
  Results published at IJCAI 2022
• Winter 2020/21: Discovering Change Dependencies
  Results published at EDBT 2022
• Summer 2020: Multimodal Analysis for Cultural Data
• Winter 2019/20: Mapping and Understanding the Evolution of Language
  Results published at LWDA 2020
• Summer 2019: What’s in a Life? Representing Vitae in 1000 Dimensions
• Summer 2018: Vandalism Detection in Wikipedia Table Revisions
• Summer 2017: Hate Speech Detection
  Results published at COLING Workshop TRAC 2018
• Winter 2016/17: Profiling Dynamic Data
  Results published at EDBT 2019
• Winter 2015/16: Learning to Note: Intelligent Support for Document Annotation using Semi-Supervised Learning (with EPIC-group)
  Results published at SMBM 2016
• Summer 2015: Approximate Data Profiling
  Results published at CIKM 2016 and at BTW 2017
• Winter 2014/15: Metadata Trawling
• Summer 2014: Finding Relevant Tweets for News
  Results published at WWW 2015 (Poster Track)
• Winter 2013/14: Piggyback Profiling: Metadata for Query Results
  Results published at LWDA 2018
• Winter 2013/14: Joint Data Profiling
  Results published at EDBT 2016
• Winter 2012/13: FactScore: Global Relevance Scores for DBpedia Facts
  Results published at DESWeb 2014 workshop
• Winter 2011/12: LuSim: Similarity Search with Apache Lucene
  Results published at DBRank 2012 workshop
• Summer 2011: Duplikaterkennung auf GPUs
  Results published at BTW 2013 (Runner up for Best Paper Award)