Self-service Data Preparation

출판물

자료 보기:

- Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph
  
  Yiming Lin, Yeye He, Surajit Chaudhuri
  
  VLDB 2023 | August 2023
  
  Publication
- Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples
  
  Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
  
  VLDB 2023 | August 2023
  
  Best Paper Award
  
  Publication
- Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines
  
  Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
  
  KDD 2023 | August 2023
  
  Publication
- Predicate Pushdown for Data Science Pipelines
  
  Cong Yan, Yin Lin, Yeye He
  
  SIGMOD | June 2023
  
  Best Paper Award
  
  Publication
- PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
  
  Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
  
  VLDB 2022 | February 2022
  
  Publication
- Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
  
  Junwen Yang, Yeye He, Surajit Chaudhuri
  
  VLDB 2021 | July 2021
  
  Publication
- Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples
  
  Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri
  
  SIGMOD 2021 | April 2021
  
  Publication Author's Version
- Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes
  
  Jie Song, Yeye He
  
  SIGMOD 2021 | April 2021
  
  Publication
- Auto-Transform: Learning-to-Transform by Patterns
  
  Zhongjun Jin, Yeye He, Surajit Chaudhuri
  
  International Conference on Very Large Databases (VLDB) | August 2020
  
  Publication
- Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks
  
  Cong Yan, Yeye He
  
  International Conference on Management of Data (SIGMOD) | June 2020
  
  Publication Publication
- Customizable and Scalable Fuzzy Join for Big Data
  
  Zhimin Chen, Yue Wang, Vivek Narasayya, Surajit Chaudhuri
  
  International Conference on Very Large Data Bases (PVLDB) | August 2019
  
  Publication
- Uni-Detect: A Unified Approach to Automated Error Detection in Tables
  
  Pei Wang, Yeye He
  
  International Conference on Management of Data (SIGMOD) | July 2019
  
  Publication
- Auto-EM: End-to-end Fuzzy Entity-Matching using Pre-trained Deep Models and Transfer Learning
  
  Chen Zhao, Yeye He
  
  WWW – World Wide Web Consortium (W3C) | May 2019
  
  Publication
- Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations
  
  Yeye He, Kris Ganjam, Vivek Narasayya, Surajit Chaudhuri
  
  International Conference on Very Large Databases (VLDB) | August 2018
  
  출판
- Auto-Detect: Data-Driven Error Detection in Tables
  
  Zhipeng Huang, Yeye He
  
  International Conference on Management of Data (SIGMOD) | June 2018
  
  Publication
- Auto-Type: Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code
  
  Cong Yan, Yeye He
  
  International Conference on Management of Data (SIGMOD) | June 2018
  
  Publication
- Auto-Join: Joining Tables by Leveraging Transformations
  
  Erkang Zhu, Yeye He, Surajit Chaudhuri
  
  International Conference on Very Large Databases (VLDB) | May 2017
  
  Publication Publication 프로젝트
- Auto-Map: Synthesizing Mapping Relationships Using Table Corpus
  
  Yue Wang, Yeye He
  
  International Conference on Management of Data (SIGMOD) | May 2017
  
  Publication Publication Publication 프로젝트 프로젝트

- Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples
  
  Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
  
  VLDB 2023 | August 2023
  
  Best Paper Award
  
  Publication
- Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines
  
  Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
  
  KDD 2023 | August 2023
  
  Publication
- Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph
  
  Yiming Lin, Yeye He, Surajit Chaudhuri
  
  VLDB 2023 | August 2023
  
  Publication
- Predicate Pushdown for Data Science Pipelines
  
  Cong Yan, Yin Lin, Yeye He
  
  SIGMOD | June 2023
  
  Best Paper Award
  
  Publication
- PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
  
  Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
  
  VLDB 2022 | February 2022
  
  Publication
- Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
  
  Junwen Yang, Yeye He, Surajit Chaudhuri
  
  VLDB 2021 | July 2021
  
  Publication
- Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes
  
  Jie Song, Yeye He
  
  SIGMOD 2021 | April 2021
  
  Publication
- Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples
  
  Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri
  
  SIGMOD 2021 | April 2021
  
  Publication Author's Version
- Auto-Transform: Learning-to-Transform by Patterns
  
  Zhongjun Jin, Yeye He, Surajit Chaudhuri
  
  International Conference on Very Large Databases (VLDB) | August 2020
  
  Publication
- Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks
  
  Cong Yan, Yeye He
  
  International Conference on Management of Data (SIGMOD) | June 2020
  
  Publication Publication
- Customizable and Scalable Fuzzy Join for Big Data
  
  Zhimin Chen, Yue Wang, Vivek Narasayya, Surajit Chaudhuri
  
  International Conference on Very Large Data Bases (PVLDB) | August 2019
  
  Publication
- Uni-Detect: A Unified Approach to Automated Error Detection in Tables
  
  Pei Wang, Yeye He
  
  International Conference on Management of Data (SIGMOD) | July 2019
  
  Publication
- Auto-EM: End-to-end Fuzzy Entity-Matching using Pre-trained Deep Models and Transfer Learning
  
  Chen Zhao, Yeye He
  
  WWW – World Wide Web Consortium (W3C) | May 2019
  
  Publication
- Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations
  
  Yeye He, Kris Ganjam, Vivek Narasayya, Surajit Chaudhuri
  
  International Conference on Very Large Databases (VLDB) | August 2018
  
  출판
- Auto-Detect: Data-Driven Error Detection in Tables
  
  Zhipeng Huang, Yeye He
  
  International Conference on Management of Data (SIGMOD) | June 2018
  
  Publication
- Auto-Type: Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code
  
  Cong Yan, Yeye He
  
  International Conference on Management of Data (SIGMOD) | June 2018
  
  Publication
- Auto-Join: Joining Tables by Leveraging Transformations
  
  Erkang Zhu, Yeye He, Surajit Chaudhuri
  
  International Conference on Very Large Databases (VLDB) | May 2017
  
  Publication Publication 프로젝트
- Auto-Map: Synthesizing Mapping Relationships Using Table Corpus
  
  Yue Wang, Yeye He
  
  International Conference on Management of Data (SIGMOD) | May 2017
  
  Publication Publication Publication 프로젝트 프로젝트
- PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
  
  Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
  
  VLDB 2022 | February 2022
  
  Publication

- Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples
  
  Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
  
  VLDB 2023 | August 2023
  
  Best Paper Award
  
  Publication
- Auto-Validate by-History: Auto Program Data Quality Constraints to Validate Recurring Data Pipelines
  
  Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri
  
  KDD 2023 | August 2023
  
  Publication
- Auto-BI: Automatically Build BI-Models Leveraging Local Join Prediction and Global Schema Graph
  
  Yiming Lin, Yeye He, Surajit Chaudhuri
  
  VLDB 2023 | August 2023
  
  Publication
- Predicate Pushdown for Data Science Pipelines
  
  Cong Yan, Yin Lin, Yeye He
  
  SIGMOD | June 2023
  
  Best Paper Award
  
  Publication
- PACk: An Efficient Partition-based Distributed Agglomerative Hierarchical Clustering Algorithm for Deduplication
  
  Yue Wang, Vivek Narasayya, Yeye He, Surajit Chaudhuri
  
  VLDB 2022 | February 2022
  
  Publication
- Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
  
  Junwen Yang, Yeye He, Surajit Chaudhuri
  
  VLDB 2021 | July 2021
  
  Publication
- Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes
  
  Jie Song, Yeye He
  
  SIGMOD 2021 | April 2021
  
  Publication
- Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples
  
  Peng Li, Xiang Cheng, Xu Chu, Yeye He, Surajit Chaudhuri
  
  SIGMOD 2021 | April 2021
  
  Publication Author's Version
- Auto-Transform: Learning-to-Transform by Patterns
  
  Zhongjun Jin, Yeye He, Surajit Chaudhuri
  
  International Conference on Very Large Databases (VLDB) | August 2020
  
  Publication
- Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks
  
  Cong Yan, Yeye He
  
  International Conference on Management of Data (SIGMOD) | June 2020
  
  Publication Publication
- Customizable and Scalable Fuzzy Join for Big Data
  
  Zhimin Chen, Yue Wang, Vivek Narasayya, Surajit Chaudhuri
  
  International Conference on Very Large Data Bases (PVLDB) | August 2019
  
  Publication
- Uni-Detect: A Unified Approach to Automated Error Detection in Tables
  
  Pei Wang, Yeye He
  
  International Conference on Management of Data (SIGMOD) | July 2019
  
  Publication
- Auto-EM: End-to-end Fuzzy Entity-Matching using Pre-trained Deep Models and Transfer Learning
  
  Chen Zhao, Yeye He
  
  WWW – World Wide Web Consortium (W3C) | May 2019
  
  Publication
- Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations
  
  Yeye He, Kris Ganjam, Vivek Narasayya, Surajit Chaudhuri
  
  International Conference on Very Large Databases (VLDB) | August 2018
  
  출판
- Auto-Detect: Data-Driven Error Detection in Tables
  
  Zhipeng Huang, Yeye He
  
  International Conference on Management of Data (SIGMOD) | June 2018
  
  Publication
- Auto-Type: Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code
  
  Cong Yan, Yeye He
  
  International Conference on Management of Data (SIGMOD) | June 2018
  
  Publication
- Auto-Join: Joining Tables by Leveraging Transformations
  
  Erkang Zhu, Yeye He, Surajit Chaudhuri
  
  International Conference on Very Large Databases (VLDB) | May 2017
  
  Publication Publication 프로젝트
- Auto-Map: Synthesizing Mapping Relationships Using Table Corpus
  
  Yue Wang, Yeye He
  
  International Conference on Management of Data (SIGMOD) | May 2017
  
  Publication Publication Publication 프로젝트 프로젝트