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ICDE
2009
IEEE
170views Database» more  ICDE 2009»
14 years 7 months ago
Semantics of Ranking Queries for Probabilistic Data and Expected Ranks
Abstract-- When dealing with massive quantities of data, topk queries are a powerful technique for returning only the k most relevant tuples for inspection, based on a scoring func...
Graham Cormode, Feifei Li, Ke Yi
ICDE
2008
IEEE
135views Database» more  ICDE 2008»
14 years 7 months ago
Online Filtering, Smoothing and Probabilistic Modeling of Streaming data
In this paper, we address the problem of extending a relational database system to facilitate efficient real-time application of dynamic probabilistic models to streaming data. he ...
Bhargav Kanagal, Amol Deshpande
CIKM
2006
Springer
13 years 10 months ago
Resource-aware kernel density estimators over streaming data
A fundamental building block of many data mining and analysis approaches is density estimation as it provides a comprehensive statistical model of a data distribution. For that re...
Christoph Heinz, Bernhard Seeger
VLDB
2005
ACM
125views Database» more  VLDB 2005»
13 years 11 months ago
Using Association Rules for Fraud Detection in Web Advertising Networks
Discovering associations between elements occurring in a stream is applicable in numerous applications, including predictive caching and fraud detection. These applications requir...
Ahmed Metwally, Divyakant Agrawal, Amr El Abbadi
WWW
2008
ACM
14 years 6 months ago
Utility-driven load shedding for xml stream processing
Because of the high volume and unpredictable arrival rate, stream processing systems may not always be able to keep up with the input data streams-- resulting in buffer overflow a...
Mingzhu Wei, Elke A. Rundensteiner, Murali Mani