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AAAI
2010
13 years 9 months ago
Fast Algorithms for Top-k Approximate String Matching
Top-k approximate querying on string collections is an important data analysis tool for many applications, and it has been exhaustively studied. However, the scale of the problem ...
Zhenglu Yang, Jianjun Yu, Masaru Kitsuregawa
SIGMOD
2003
ACM
98views Database» more  SIGMOD 2003»
14 years 7 months ago
On Relational Support for XML Publishing: Beyond Sorting and Tagging
In this paper, we study whether the need for efficient XML publishing brings any new requirements for relational query engines, or if sorting query results in the relational engin...
Surajit Chaudhuri, Raghav Kaushik, Jeffrey F. Naug...
VLDB
1997
ACM
170views Database» more  VLDB 1997»
13 years 11 months ago
M-tree: An Efficient Access Method for Similarity Search in Metric Spaces
A new access method, called M-tree, is proposed to organize and search large data sets from a generic "metric space", i.e. where object proximity is only defined by a di...
Paolo Ciaccia, Marco Patella, Pavel Zezula
VLDB
2005
ACM
109views Database» more  VLDB 2005»
14 years 8 months ago
Model-based approximate querying in sensor networks
Abstract Declarative queries are proving to be an attractive paradigm for interacting with networks of wireless sensors. The metaphor that "the sensornet is a database" i...
Amol Deshpande, Carlos Guestrin, Samuel Madden, Jo...
SIGMOD
2007
ACM
229views Database» more  SIGMOD 2007»
14 years 7 months ago
Spark: top-k keyword query in relational databases
With the increasing amount of text data stored in relational databases, there is a demand for RDBMS to support keyword queries over text data. As a search result is often assemble...
Yi Luo, Xuemin Lin, Wei Wang 0011, Xiaofang Zhou