Draining the Data Swamp-Reference-Cited by-同舟云学术

Draining the Data Swamp

Published:2018-06-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Workshop on Human-In-the-Loop Data Analytics
language:
Short-container-title:

Author:

Brackenbury Will¹,Liu Rui¹,Mondal Mainack¹,Elmore Aaron J.¹,Ur Blase¹,Chard Kyle¹,Franklin Michael J.¹

Affiliation:

1. University of Chicago

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3209900.3209911

Reference37 articles.

1. Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions

2. Sreeram Balakrishnan Alon Y Halevy Boulos Harb Hongrae Lee Jayant Madhavan Afshin Rostamizadeh Warren Shen Kenneth Wilder Fei Wu and Cong Yu. 2015. Applying WebTables in Practice.. In CIDR. Sreeram Balakrishnan Alon Y Halevy Boulos Harb Hongrae Lee Jayant Madhavan Afshin Rostamizadeh Warren Shen Kenneth Wilder Fei Wu and Cong Yu. 2015. Applying WebTables in Practice.. In CIDR.

3. Omar Benjelloun Hector Garcia-Molina David Menestrina Qi Su Steven Euijong Whang and Jennifer Widom. 2009. Swoosh: a generic approach to entity resolution. The VLDB JournalâĂŤThe International Journal on Very Large Data Bases 18 1 (2009) 255--276. 10.1007/s00778-008-0098-x Omar Benjelloun Hector Garcia-Molina David Menestrina Qi Su Steven Euijong Whang and Jennifer Widom. 2009. Swoosh: a generic approach to entity resolution. The VLDB JournalâĂŤThe International Journal on Very Large Data Bases 18 1 (2009) 255--276. 10.1007/s00778-008-0098-x

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generative mechanisms of AI implementation: A critical realist perspective on predictive maintenance;Information and Organization;2024-06

2. Managing Personal Identifiable Information in Data Lakes;IEEE Access;2024

3. DataCockpit: A Toolkit for Data Lake Navigation and Monitoring Utilizing Quality and Usage Information;2023 IEEE International Conference on Big Data (BigData);2023-12-15

4. Data Lakes: A Survey of Functions and Systems;IEEE Transactions on Knowledge and Data Engineering;2023-12-01

5. OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Query Event Logs;Proceedings of the VLDB Endowment;2023-08