Jiannan Wang

Deeper

2018

Data scientists often spend more than 80% of their time on data preparation. Data enrichment, the act of extending a local database with new attributes from external data sources, is among the most time-consuming tasks. …

Detecting Data Errors with Statistical Constraints

2019 · arXiv (Cornell University)

A powerful approach to detecting erroneous data is to check which potentially dirty data records are incompatible with a user's domain knowledge. Previous approaches allow the user to specify domain knowledge in the form of …

Progressive Deep Web Crawling Through Keyword Queries For Data Enrichment

2019

Data enrichment is the act of extending a local database with new attributes from external data sources. In this paper, we study a novel problem-how to progressively crawl the deep web (i.e., a hidden database) …