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» Query optimizer for spatial join operations
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SIGMOD
2002
ACM
112views Database» more  SIGMOD 2002»
14 years 8 months ago
Minimal probing: supporting expensive predicates for top-k queries
This paper addresses the problem of evaluating ranked top-? queries with expensive predicates. As major DBMSs now all support expensive user-defined predicates for Boolean queries...
Kevin Chen-Chuan Chang, Seung-won Hwang
SSD
2005
Springer
185views Database» more  SSD 2005»
14 years 1 months ago
Evaluation of a Dynamic Tree Structure for Indexing Query Regions on Streaming Geospatial Data
Most recent research on querying and managing data streams has concentrated on traditional data models where the data come in the form of tuples or XML data. Complex types of strea...
Quinn Hart, Michael Gertz, Jie Zhang
ICDE
2010
IEEE
295views Database» more  ICDE 2010»
14 years 2 months ago
K nearest neighbor queries and kNN-Joins in large relational databases (almost) for free
— Finding the k nearest neighbors (kNN) of a query point, or a set of query points (kNN-Join) are fundamental problems in many application domains. Many previous efforts to solve...
Bin Yao, Feifei Li, Piyush Kumar
INFOCOM
2006
IEEE
14 years 1 months ago
Theory and Network Applications of Dynamic Bloom Filters
Abstract— A bloom filter is a simple, space-efficient, randomized data structure for concisely representing a static data set, in order to support approximate membership querie...
Deke Guo, Jie Wu, Honghui Chen, Xueshan Luo
NATO
1993
13 years 12 months ago
METU Object-Oriented DBMS
METU Object-Oriented DBMS 1 includes the implementation of a database kernel, an object-oriented SQL-like language and a graphical user interface. Kernel functions are divided bet...
Asuman Dogac, Cetin Ozkan, Ismailcem Budak Arpinar...