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» Evaluating top-k queries over incomplete data streams
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PODS
1999
ACM
160views Database» more  PODS 1999»
13 years 9 months ago
Queries with Incomplete Answers over Semistructured Data
Semistructured data occur in situations where information lacks a homogeneous structure and is incomplete. Yet, up to now the incompleteness of information has not been re ected b...
Yaron Kanza, Werner Nutt, Yehoshua Sagiv
IDEAS
2007
IEEE
146views Database» more  IDEAS 2007»
13 years 11 months ago
Approximate Structural Matching over Ordered XML Documents
There is an increasing need for an XML query engine that not only searches for exact matches to a query but also returns “query-like” structures. We have designed and develope...
Nitin Agarwal, Magdiel Galan Oliveras, Yi Chen
SIGMOD
2005
ACM
168views Database» more  SIGMOD 2005»
14 years 5 months ago
No pane, no gain: efficient evaluation of sliding-window aggregates over data streams
Window queries are proving essential to data-stream processing. In this paper, we present an approach for evaluating sliding-window aggregate queries that reduces both space and c...
Jin Li, David Maier, Kristin Tufte, Vassilis Papad...
PODS
2002
ACM
164views Database» more  PODS 2002»
14 years 5 months ago
Characterizing Memory Requirements for Queries over Continuous Data Streams
We consider conjunctive queries with arithmetic comparisons over multiple continuous data streams. We specify an algorithm for determining whether or not a query can be evaluated ...
Arvind Arasu, Brian Babcock, Shivnath Babu, Jon Mc...
ICDE
2007
IEEE
137views Database» more  ICDE 2007»
14 years 6 months ago
SAO: A Stream Index for Answering Linear Optimization Queries
Linear optimization queries retrieve the top-K tuples in a sliding window of a data stream that maximize/minimize the linearly weighted sums of certain attribute values. To effici...
Gang Luo, Kun-Lung Wu, Philip S. Yu