1 citations · 1 across the 3 of their papers we have counts for
3 papers
VoS: Variate Ordering Strategies for Skyline Query Optimization
Abhinav Gorantla, Pratanu Mandal, K. Selçuk Candan +1
Efficiency of skyline algorithms is highly influenced by the underlying data characteristics. Traditionally, optimization efforts have focused on minimizing the total number of tup…
Causal Search for Skylines (CSS): Causally-Informed Selective Data De-Correlation
Pratanu Mandal, Abhinav Gorantla, K. Selçuk Candan +1
Skyline queries are popular and effective tools in multi-criteria decision support as they extract interesting (pareto-optimal) points that help summarize the available data with r…
Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning
Ahmet Kapkiç, Pratanu Mandal, Shu Wan +5
While witnessing the exceptional success of machine learning (ML) technologies in many applications, users are starting to notice a critical shortcoming of ML: correlation is a poo…