Erkang Zhu - Semantic Scholar

Publications
Influence

LSH Ensemble: Internet-Scale Domain Search

Erkang Zhu, Fatemeh Nargesian, Ken Q. Pu, Renée J. Miller
PVLDB
2016

We study the problem of domain search where a domain is a set of distinct values from an unspecified universe. We use Jaccard set containment, defined as $|Q \cap X|/|Q|$, as the relevance measure of… (More)

Table Union Search on Open Data

Fatemeh Nargesian, Erkang Zhu, Ken Q. Pu, Renée J. Miller
PVLDB
2018

We define the table union search problem and present a probabilistic solution for finding tables that are unionable with a query table within massive repositories. Two tables are unionable if they… (More)

AutoDict: Automated Dictionary Discovery

Fei Chiang, Periklis Andritsos, Erkang Zhu, Renée J. Miller
IEEE 28th International Conference on Data…
2012

An attribute dictionary is a set of attributes together with a set of common values of each attribute. Such dictionaries are valuable in understanding unstructured or loosely structured textual… (More)

Auto-Join: Joining Tables by Leveraging Transformations

Traditional equi-join relies solely on string equality comparisons to perform joins. However, in scenarios such as ad-hoc data analysis in spreadsheets, users increasingly need to join tables whose… (More)

Interactive Navigation of Open Data Linkages

Erkang Zhu, Ken Q. Pu, Fatemeh Nargesian, Renée J. Miller
PVLDB
2017

We developed Toronto Open Data Search to support the ad hoc, interactive discovery of connections or linkages between datasets. It can be used to efficiently navigate through the open data cloud. Our… (More)

Searching Web Data using MinHash LSH

BiChen Rao, Erkang Zhu
SIGMOD Conference
2016

In this extended abstract, we explore the use of MinHash Locality Sensitive Hashing (MinHash LSH) to address the problem of indexing and searching Web data. We discuss a statistical tuning strategy… (More)

Making Open Data Transparent: Data Discovery on Open Data

Renée J. Miller, Fatemeh Nargesian, Erkang Zhu, Christina Christodoulakis, Ken Q. Pu, Periklis Andritsos
IEEE Data Eng. Bull.
2018

Open Data plays a major role in open government initiatives. Governments around the world are adopting Open Data Principles promising to make their Open Data complete, primary, and timely. These… (More)

JOSIE: Overlap Set Similarity Search for Finding Joinable Tables in Data Lakes

Erkang Zhu, Dong Deng, Fatemeh Nargesian, Renée J. Miller
SIGMOD Conference
2019

We present a new solution for finding joinable tables in massive data lakes: given a table and one join column, find tables that can be joined with the given table on the largest number of distinct… (More)

VISE: Vehicle Image Search Engine with Traffic Camera

Hyewon Choi, Erkang Zhu, Arsala Bangash, Renée J. Miller
PVLDB
2019

We present VISE, or Vehicle Image Search Engine, to support the fast search of similar vehicles from low-resolution traffic camera images. VISE can be used to trace and locate vehicles for… (More)

Data Lake Management: Challenges and Opportunities

Fatemeh Nargesian, Erkang Zhu, Renée J. Miller, Ken Q. Pu, Patricia C. Arocena
PVLDB
2019

The ubiquity of data lakes has created fascinating new challenges for data management research. In this tutorial, we review the state-of-the-art in data management for data lakes. We consider how… (More)