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» Querying Semi-Structured Data
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SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
16 years 4 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He
KIVS
2009
Springer
16 years 1 months ago
Query Processing and System-Level Support for Runtime-Adaptive Sensor Networks
We present an integrated approach for supporting in-network sensor data processing in dynamic and heterogeneous sensor networks. The concept relies on data stream processing techni...
Falko Dressler, Rüdiger Kapitza, Michael Daum...
ICNS
2006
IEEE
16 years 28 days ago
Mobile Ad Hoc Networking Approach to Detecting and Querying Events Related to Farm Animals
This paper proposes a mobile ad hoc networking approach to detecting and querying events related to farm animals such as oestrus, animal diseases and decreased efficiency of pastu...
Milena Radenkovic, Bartosz Wietrzyk
IDEAS
2005
IEEE
137views Database» more  IDEAS 2005»
16 years 14 days ago
Order-Sensitive XML Query Processing over Relational Sources: An Algebraic Approach
The XML data is order-sensitive. The order problem, that is how ordered XML documents and order-sensitive queries over it can be efficiently supported when mapped into the unorde...
Ling Wang, Song Wang, Brian Murphy, Elke A. Runden...
VLDB
1998
ACM
103views Database» more  VLDB 1998»
15 years 11 months ago
The Drill Down Benchmark
Data Mining places specific requirements on DBMS query performance that cannot be evaluated satisfactorily using existing OLAP benchmarks. The DD Benchmark - defined here - provid...
Peter A. Boncz, Tim Rühl, Fred Kwakkel