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» Continuous Processing of Preference Queries in Data Streams
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ICDE
2005
IEEE
108views Database» more  ICDE 2005»
14 years 10 months ago
Range Efficient Computation of F0 over Massive Data Streams
Efficient one-pass computation of F0, the number of distinct elements in a data stream, is a fundamental problem arising in various contexts in databases and networking. We consid...
Pavan Aduri, Srikanta Tirthapura
WWW
2008
ACM
13 years 8 months ago
Divide, Compress and Conquer: Querying XML via Partitioned Path-Based Compressed Data Blocks
We propose a novel Partition Path-Based (PPB) grouping strategy to store compressed XML data in a stream of blocks. In addition, we employ a minimal indexing scheme called Block S...
Wilfred Ng, Ho Lam Lau, Aoying Zhou
DEXA
2003
Springer
162views Database» more  DEXA 2003»
14 years 2 months ago
Dynamic Splitting Policies of the Adaptive 3DR-Tree for Indexing Continuously Moving Objects
Moving-objects databases need a spatio-temporal indexing scheme for moving objects to efficiently process queries over continuously changing locations of the objects. A simple exte...
Bonggi Jun, Bonghee Hong, Byunggu Yu
PATAT
2004
Springer
130views Education» more  PATAT 2004»
14 years 2 months ago
Learning User Preferences in Distributed Calendar Scheduling
Abstract. Within the field of software agents, there has been increasing interest in automating the process of calendar scheduling in recent years. Calendar (or meeting) schedulin...
Jean Oh, Stephen F. Smith
IJCAI
1989
13 years 10 months ago
Input Data Management in Real-Time AI Systems
A real-time AI system in the real world needs to monitor an immense volume of data. To do this, the system must filter out much of the incoming data. However, it must remain re­ ...
Richard Washington, Barbara Hayes-Roth