2 papers
cs.LG2020
Fast Automatic Feature Selection for Multi-Period Sliding Window Aggregate in Time Series
Rui An, Xingtian Shi, Baohan Xu
As one of the most well-known artificial feature sampler, the sliding window is widely used in scenarios where spatial and temporal information exists, such as computer vision, nat…
cs.DS2018
Frequent Item-set Mining without Ubiquitous Items
Ran M. Bittmann, Philippe Nemery, Xingtian Shi +2
Frequent Item-set Mining (FIM), sometimes called Market Basket Analysis (MBA) or Association Rule Learning (ARL), are Machine Learning (ML) methods for creating rules from datasets…