The AnomalyData repository is a comprehensive dataset for anomaly detection research. It contains a diverse collection of real-world anomaly data across various legal entities. The dataset is well-organized, with clear documentation and metadata, making it an invaluable resource for researchers and practitioners working on anomaly detection algorithms and models.
This file contains 10,000 record about legal entitiies with their features.
Applied GA-based MLP optimiztion technique.
This file provides an overview of the repository and its contents, as well as instructions for using the data.
This file specifies the license under which the data is made available. The repository uses the MIT License, which allows for free use, modification, and distribution of the data.
To use the data in your research or projects, simply download the repository and access the relevant files. The data is provided in common formats .ipynb and .xlsx for easy integration with various tools and frameworks.
When using the data, please cite the repository and its maintainers in your work. This helps to acknowledge the effort put into creating and curating the dataset.
If you have additional anomaly data that you would like to contribute to the repository, please feel free to submit a pull request. The maintainers welcome contributions that expand the diversity and coverage of the dataset.
Before submitting a pull request, please ensure that your data is properly formatted, labeled, and documented. The maintainers reserve the right to review and accept contributions based on their quality and relevance to the repository's goals.