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» Updating relational data via SPARQL update
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SAC
2005
ACM
14 years 3 months ago
Indexing continuously changing data with mean-variance tree
: Traditional spatial indexes like R-tree usually assume the database is not updated frequently. In applications like location-based services and sensor networks, this assumption i...
Yuni Xia, Sunil Prabhakar, Shan Lei, Reynold Cheng...
VLDB
2003
ACM
156views Database» more  VLDB 2003»
14 years 9 months ago
Watermarking relational data: framework, algorithms and analysis
We enunciate the need for watermarking database relations to deter data piracy, identify the characteristics of relational data that pose unique challenges for watermarking, and de...
Rakesh Agrawal, Peter J. Haas, Jerry Kiernan
ICDE
1999
IEEE
89views Database» more  ICDE 1999»
14 years 11 months ago
Relative Prefix Sums: An Efficient Approach for Querying Dynamic OLAP Data Cubes
Range sum queries on data cubes are a powerful tool for analysis. A range sum query applies an aggregation operation (e.g., SUM) over all selected cells in a data cube, where the ...
Steven Geffner, Divyakant Agrawal, Amr El Abbadi, ...
ICASSP
2010
IEEE
13 years 9 months ago
Acoustic model adaptation via Linear Spline Interpolation for robust speech recognition
We recently proposed a new algorithm to perform acoustic model adaptation to noisy environments called Linear Spline Interpolation (LSI). In this method, the nonlinear relationshi...
Michael L. Seltzer, Alex Acero, Kaustubh Kalgaonka...
SIGMOD
2004
ACM
241views Database» more  SIGMOD 2004»
14 years 9 months ago
SINA: Scalable Incremental Processing of Continuous Queries in Spatio-temporal Databases
This paper introduces the Scalable INcremental hash-based Algorithm (SINA, for short); a new algorithm for evaluating a set of concurrent continuous spatio-temporal queries. SINA ...
Mohamed F. Mokbel, Xiaopeng Xiong, Walid G. Aref