21 citations · 23 across the 5 of their papers we have counts for
5 papers
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights
Manisha Padala, Lokesh Nagalapatti, Atharv Tyagi +2
We present an unsupervised method for aggregating anomalies in tabular datasets by identifying the top-k tabular data quality insights. Each insight consists of a set of anomalous…
Towards Optimizing Storage Costs on the Cloud
Koyel Mukherjee, Raunak Shah, Shiv Kumar Saini +5
We study the problem of optimizing data storage and access costs on the cloud while ensuring that the desired performance or latency is unaffected. We first propose an optimizer th…
CausIL: Causal Graph for Instance Level Microservice Data
Sarthak Chakraborty, Shaddy Garg, Shubham Agarwal +2
AI-based monitoring has become crucial for cloud-based services due to its scale. A common approach to AI-based monitoring is to detect causal relationships among service component…
Revelio: ML-Generated Debugging Queries for Distributed Systems
Pradeep Dogga, Karthik Narasimhan, Anirudh Sivaraman +3
A major difficulty in debugging distributed systems lies in manually determining which of the many available debugging tools to use and how to query its logs. Our own study of a pr…
Split: Inferring Unobserved Event Probabilities for Disentangling Brand-Customer Interactions
Ayush Chauhan, Aditya Anand, Shaddy Garg +2
Often, data contains only composite events composed of multiple events, some observed and some unobserved. For example, search ad click is observed by a brand, whereas which custom…