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» Dynamically maintaining frequent items over a data stream
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CORR
2010
Springer
144views Education» more  CORR 2010»
14 years 9 months ago
Algorithmic Verification of Single-Pass List Processing Programs
We introduce streaming data string transducers that map input data strings to output data strings in a single left-to-right pass in linear time. Data strings are (unbounded) seque...
Rajeev Alur, Pavol Cerný
PODS
2009
ACM
100views Database» more  PODS 2009»
15 years 10 months ago
Space-optimal heavy hitters with strong error bounds
The problem of finding heavy hitters and approximating the frequencies of items is at the heart of many problems in data stream analysis. It has been observed that several propose...
Radu Berinde, Graham Cormode, Piotr Indyk, Martin ...
167
Voted
SIGMOD
2006
ACM
238views Database» more  SIGMOD 2006»
15 years 9 months ago
Continuous monitoring of top-k queries over sliding windows
Given a dataset P and a preference function f, a top-k query retrieves the k tuples in P with the highest scores according to f. Even though the problem is well-studied in convent...
Kyriakos Mouratidis, Spiridon Bakiras, Dimitris Pa...
84
Voted
WSDM
2012
ACM
301views Data Mining» more  WSDM 2012»
13 years 5 months ago
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization
As massive repositories of real-time human commentary, social media platforms have arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis o...
Ankan Saha, Vikas Sindhwani
VLDB
2001
ACM
115views Database» more  VLDB 2001»
15 years 1 months ago
Dynamic Update Cube for Range-sum Queries
A range-sum query is very popular and becomes important in finding trends and in discovering relationships between attributes in diverse database applications. It sums over the se...
Seok-Ju Chun, Chin-Wan Chung, Ju-Hong Lee, Seok-Ly...