Navigating the Data Lake with DATAMARAN: Automatically Extracting Structure from Log Datasets
Summary: Datamaran automatically extracts structure from semi-structured log data, identifying endpoints and filtering noise. It discovers structures without boundaries, achieving 95% extraction accuracy on GitHub logs, ~66% higher than unsupervised schemes. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yihan Gao
- 2. Silu Huang
- 3. Aditya Parameswaran
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 936 | Data Lake Management: Challenges and Opportunities | 2019 | VLDB | 0.00015197838 |
| 3,254 | Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks | 2020 | SIGMOD | 7.3172324e-05 |
| 3,263 | AS-Parser: Log Parsing Based on Adaptive Segmentation | 2023 | SIGMOD | 7.307731e-05 |
| 5,279 | Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples | 2023 | VLDB | 5.5851818e-05 |
| 5,283 | Explaining Dataset Changes for Semantic Data Versioning with Explain-Da-V | 2023 | VLDB | 5.5843052e-05 |
| 8,090 | PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage | 2020 | VLDB | 4.5853298e-05 |
| 10,126 | Visual Template Inference for Data Extraction from Documents | 2026 | SIGMOD | 4.1905499e-05 |
| 11,696 | Enabling Data Science for the Majority | 2019 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,805 | Discovering Related Data At Scale | 2021 | VLDB | 5.3197639e-05 |
| 636 | Automatic segmentation of text into structured records | 2001 | SIGMOD | 0.00018815341 |
| 7,642 | Cross Modal Data Discovery over Structured and Unstructured Data Lakes | 2023 | VLDB | 4.6856127e-05 |
| 11,882 | Graph-based Exploration of Non-graph Datasets | 2016 | VLDB | 4.1905499e-05 |
| 11,739 | CoreKG: a Knowledge Lake Service | 2018 | VLDB | 4.1905499e-05 |
| 8,919 | Data Lakes Empowered by Knowledge Graph Technologies | 2021 | SIGMOD | 4.4229886e-05 |
| 3,360 | Organizing Data Lakes for Navigation | 2020 | SIGMOD | 7.1719486e-05 |
| 10,803 | A Demonstration of QueryArtisan: Real-Time Data Lake Analysis via Dynamically Generated Data Manipulation Code | 2025 | VLDB | 4.1905499e-05 |
| 9,960 | QueryArtisan: Generating Data Manipulation Codes for Ad-hoc Analysis in Data Lakes | 2025 | VLDB | 4.2254157e-05 |
| 1,088 | Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes | 2024 | VLDB | 0.00014158762 |