172 citations · 373 across the 15 of their papers we have counts for
15 papers
Data Makes Better Data Scientists
Jinjin Zhao, Avidgor Gal, Sanjay Krishnan
With the goal of identifying common practices in data science projects, this paper proposes a framework for logging and understanding incremental code executions in Jupyter noteboo…
LOUC: Leave-One-Out-Calibration Measure for Analyzing Human Matcher Performance
Matan Solomon, Bar Genossar, Roee Shraga +1
Schema matching is a core data integration task, focusing on identifying correspondences among attributes of multiple schemata. Numerous algorithmic approaches were suggested for s…
SKTR: Trace Recovery from Stochastically Known Logs
Eli Bogdanov, Izack Cohen, Avigdor Gal
Developments in machine learning together with the increasing usage of sensor data challenge the reliance on deterministic logs, requiring new process mining solutions for uncertai…
Human's Role in-the-Loop
Avigdor Gal, Roee Shraga
Data integration has been recently challenged by the need to handle large volumes of data, arriving at high velocity from a variety of sources, which demonstrate varying levels of…
Conformance Checking Over Stochastically Known Logs
Eli Bogdanov, Izack Cohen, Avigdor Gal
With the growing number of devices, sensors and digital systems, data logs may become uncertain due to, e.g., sensor reading inaccuracies or incorrect interpretation of readings by…
AI-Augmented Business Process Management Systems: A Research Manifesto
Marlon Dumas, Fabiana Fournier, Lior Limonad +11
AI-Augmented Business Process Management Systems (ABPMSs) are an emerging class of process-aware information systems, empowered by trustworthy AI technology. An ABPMS enhances the…