K. Pu

Publications
Influence

Monitoring k-nearest neighbor queries over moving objects

Xiaohui Yu, K. Pu, N. Koudas
Computer Science
21st International Conference on Data Engineering…
5 April 2005

We propose two methods to monitork-NN queries over moving objects. Expand

LSH Ensemble: Internet-Scale Domain Search

Erkang Zhu, F. Nargesian, K. Pu, R. Miller
Computer Science
Proc. VLDB Endow.
24 March 2016

We present a new index structure, Locality Sensitive Hashing (LSH) Ensemble, that solves the domain search problem using set containment at Internet scale. Expand

Keyword query cleaning

K. Pu, Xiaohui Yu
Computer Science
Proc. VLDB Endow.
1 August 2008

We introduce the problem of query cleaning for keyword search queries in a database context and propose a set of effective and efficient solutions. Expand

Table Union Search on Open Data

F. Nargesian, Erkang Zhu, K. Pu, R. Miller
Computer Science
Proc. VLDB Endow.
1 March 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. Expand

Discovering Linkage Points over Web Data

O. Hassanzadeh, K. Pu, +4 authors C. Ho
Computer Science
Proc. VLDB Endow.
1 April 2013

We present a framework consisting of a library of efficient lexical analyzers and similarity functions, and a set of search algorithms for effective and efficient identification of linkage points over Web data. Expand

Concise descriptions of subsets of structured sets

A. Mendelzon, K. Pu
Computer Science
PODS
2003

We study the problem of economical representation of subsets of structured sets, that is, sets equipped with a set cover. Expand

Modeling and control of discrete-event systems with hierarchical abstraction

K. Pu
Computer Science
2000

We show that the high-level supervisor of Figure 2.19 (b) is in fact not controllable, and must be adjusted. Expand

Making Open Data Transparent: Data Discovery on Open Data

R. Miller, F. Nargesian, Erkang Zhu, Christina Christodoulakis, K. Pu, P. Andritsos
Computer Science
IEEE Data Eng. Bull.
2018

We present new table join and table union search solutions that provide interactive search speed even over massive collections of millions of attributes with heavily skewed cardinality distributions. Expand

Scalable Distributed Processing of K Nearest Neighbor Queries over Moving Objects

Ziqiang Yu, Yang Liu, Xiaohui Yu, K. Pu
Computer Science
IEEE Transactions on Knowledge and Data…
1 May 2015

We propose a new index structure called Dynamic Strip Index (DSI), which can better adapt to different data distributions than exiting grid indexes. Expand

Data Lake Management: Challenges and Opportunities

F. Nargesian, Erkang Zhu, R. Miller, K. Pu, Patricia C. Arocena
Computer Science
Proc. VLDB Endow.
1 August 2019

We consider how data lakes are introducing new problems including dataset discovery and how they are changing the requirements for classic problems including data extraction, data cleaning, data integration, data versioning, and metadata management. Expand

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