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» Probabilistic frequent itemset mining in uncertain databases
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HPCC
2007
Springer
14 years 1 months ago
A Data Imputation Model in Sensor Databases
Data missing is a common problem in database query processing, which can cause bias or lead to inefficient analyses, and this problem happens more often in sensor databases. The re...
Nan Jiang
EDBT
2008
ACM
206views Database» more  EDBT 2008»
14 years 7 months ago
Designing an inductive data stream management system: the stream mill experience
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo
FIMI
2003
146views Data Mining» more  FIMI 2003»
13 years 9 months ago
ARMOR: Association Rule Mining based on ORacle
In this paper, we first focus our attention on the question of how much space remains for performance improvement over current association rule mining algorithms. Our strategy is...
Vikram Pudi, Jayant R. Haritsa
PODS
2008
ACM
159views Database» more  PODS 2008»
14 years 7 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
ICEIS
2009
IEEE
13 years 5 months ago
Mining Patterns in the Presence of Domain Knowledge
One of the main difficulties of pattern mining is to deal with items of different nature in the same itemset, which can occur in any domain except basket analysis. Indeed, if we co...
Cláudia Antunes