Fair Rent Auditor: Apartment Rental Price Prediction (BI2025 Group 032)
Abstract
BI2025 Experiment Report - Group 032 This reproducibility package documents the machine learning experiment for Group 032, following the CRISP-DM process model. The project, titled "Fair Rent Auditor", focuses on detecting anomalies and predicting fair rental prices in the German real estate market using the Immoscout24 dataset. Key Artifacts: Jupyter Notebook (implementation of CRISP-DM phases) Technical Report (PDF) Provenance Data (Knowledge Graph logs) Course: Business Intelligence (188.429), TU Wien, WS 2025Methodology: CRISP-DM, PROV-O Ontology
Fields of Study & Subjects
Housing Market and Economics
Data Mining and Machine Learning Applications
Big Data and Business Intelligence
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 18 January 2026
- Language
- EN