Paper Info
Title
SEQUEL: query completion via pattern mining on multi-column structural data
Abstract
In this demonstration, we propose an interactive query completion system on structural data like DBLP, called SEQUEL. It is novel in several aspects: with patterns mined on the structural data using newly devised algorithm, SEQUEL offers high-utility completions composed with not only words but also phrases, and requires no explicit indications of corresponding columns. Instead of using query logs exploited previously for unstructured data, more effective completions are provided based on patterns mined directly from the records. Moreover, an effective index structure helps SEQUEL respond fast at millisecond level for each keystroke.
Year
DOI
Venue
2010
10.1145/1871437.1871782
CIKM
Keywords
Field
DocType
millisecond level,multi-column structural data,corresponding column,effective index structure,explicit indication,interactive query completion system,query log,high-utility completion,unstructured data,effective completion,pattern mining,structural data,structured data
Query optimization,Data mining,Information retrieval,Computer science,Keystroke logging,Unstructured data,Millisecond
Conference
Citations 
PageRank 
References 
0
0.34
7
Authors
3
Name
Order
Citations
PageRank
Chuancong Gao1643.99
Qingyan Yang21378.63
Jianyong Wang35295230.18