5 citations · 5 across the 3 of their papers we have counts for
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Evaluating Joinable Column Discovery Approaches for Context-Aware Search
Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati +4
Joinable Column Discovery is a critical challenge in automating enterprise data analysis. While existing approaches focus on syntactic overlap and semantic similarity, there remain…
Diverse Unionable Tuple Search: Novelty-Driven Discovery in Data Lakes [Technical Report]
Aamod Khatiwada, Roee Shraga, Renée J. Miller
Unionable table search techniques input a query table from a user and search for data lake tables that can contribute additional rows to the query table. The definition of unionabi…
TOPJoin: A Context-Aware Multi-Criteria Approach for Joinable Column Search
Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati +4
One of the major challenges in enterprise data analysis is the task of finding joinable tables that are conceptually related and provide meaningful insights. Traditionally, joinabl…
Fuzzy Integration of Data Lake Tables
Aamod Khatiwada, Roee Shraga, Renée J. Miller
Data integration is an important step in any data science pipeline where the objective is to unify the information available in different datasets for comprehensive analysis. Full…
SANTOS: Relationship-based Semantic Table Union Search
Aamod Khatiwada, Grace Fan, Roee Shraga +4
Existing techniques for unionable table search define unionability using metadata (tables must have the same or similar schemas) or column-based metrics (for example, the values in…