Xu Chu

According to our database1, Xu Chu authored at least 24 papers between 2013 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Data Cleaning.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

PIClean: A Probabilistic and Interactive Data Cleaning System.
Proceedings of the 2019 International Conference on Management of Data, 2019

MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations.
PVLDB, 2018

Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel.
Proceedings of the 2018 International Conference on Management of Data, 2018

CAPED: Context-Aware Powerlet-Based Energy Disaggregation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Characteristic Subspace Learning for Time Series Classification.
Proceedings of the IEEE International Conference on Data Mining, 2018

Mining Rules from Real-Valued Time Series: A Relative Information-Gain-Based Approach.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

Pseudonym Inference in Cooperative Vehicular Traffic Scenarios.
Proceedings of the 2018 IEEE Conference on Communications and Network Security, 2018

2017
Scalable and Holistic Qualitative Data Cleaning.
PhD thesis, 2017

HoloClean: Holistic Data Repairs with Probabilistic Inference.
PVLDB, 2017

2016
Distributed Data Deduplication.
PVLDB, 2016

Qualitative Data Cleaning.
PVLDB, 2016

Detecting Data Errors: Where are we and what needs to be done?
PVLDB, 2016

CLAMS: Bringing Quality to Data Lakes.
Proceedings of the 2016 International Conference on Management of Data, 2016

Data Cleaning: Overview and Emerging Challenges.
Proceedings of the 2016 International Conference on Management of Data, 2016

2015
SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora.
PVLDB, 2015

KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing.
PVLDB, 2015

Trends in Cleaning Relational Data: Consistency and Deduplication.
Foundations and Trends in Databases, 2015

KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

TEGRA: Table Extraction by Global Record Alignment.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2014
RuleMiner: Data quality rules discovery.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2013
Discovering Denial Constraints.
PVLDB, 2013

Holistic data cleaning: Putting violations into context.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013


  Loading...