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» Opportunistic Data Structures for Range Queries
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IJOCI
2010
163views more  IJOCI 2010»
13 years 6 months ago
An Experimental Performance Comparison for Indexing Mobile Objects on the Plane
We present a time-efficient approach to index objects moving on the plane to efficiently answer range queries about their future positions. Each object is moving with non small ve...
Spyros Sioutas, George Papaloukopoulos, Kostas Tsi...
SIGMOD
2009
ACM
250views Database» more  SIGMOD 2009»
14 years 9 months ago
Query processing techniques for solid state drives
Solid state drives perform random reads more than 100x faster than traditional magnetic hard disks, while offering comparable sequential read and write bandwidth. Because of their...
Dimitris Tsirogiannis, Stavros Harizopoulos, Mehul...
CIKM
2011
Springer
12 years 8 months ago
MTopS: scalable processing of continuous top-k multi-query workloads
A continuous top-k query retrieves the k most preferred objects in a data stream according to a given preference function. These queries are important for a broad spectrum of appl...
Avani Shastri, Di Yang, Elke A. Rundensteiner, Mat...
SEM
2004
Springer
14 years 2 months ago
Integration of a Text Search Engine with a Java Messaging Service
Large-scale information processing applications must rapidly search through high volume streams of structured and unstructured textual data to locate useful information. Content-ba...
Justin Almquist, Ian Gorton, Jereme Haack
COMPGEOM
2001
ACM
14 years 14 days ago
Segment intersection searching problems in general settings
We consider segment intersection searching amidst (possibly intersecting) algebraic arcs in the plane. We show how to preprocess n arcs in time O(n2+ ) into a data structure of si...
Vladlen Koltun