Daochen Zha

PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning

2020 · Companion Proceedings of the Web Conference 2020

Outlier detection is an important task for various data mining applications. Current outlier detection techniques are often manually designed for specific domains, requiring large human efforts of database setup, algorithm selection, and hyper-parameter tuning. To …

Towards Personalized Preprocessing Pipeline Search

2023 · arXiv (Cornell University)

Feature preprocessing, which transforms raw input features into numerical representations, is a crucial step in automated machine learning (AutoML) systems. However, the existing systems often have a very small search space for feature preprocessing with …