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ICDE
2007
IEEE
123views Database» more  ICDE 2007»
16 years 8 days ago
Privacy Preserving Pattern Discovery in Distributed Time Series
The search for unknown frequent pattern is one of the core activities in many time series data mining processes. In this paper we present an extension of the pattern discovery pro...
Josenildo Costa da Silva, Matthias Klusch
CLIMA
2004
15 years 7 months ago
The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
Christopher Child, Kostas Stathis
ADBIS
2000
Springer
111views Database» more  ADBIS 2000»
15 years 10 months ago
Discovering Frequent Episodes in Sequences of Complex Events
Data collected in many applications have a form of sequences of events. One of the popular data mining problems is discovery of frequently occurring episodes in such sequences. Eff...
Marek Wojciechowski
AISS
2010
146views more  AISS 2010»
15 years 1 months ago
Zatara, the Plug-in-able Eventually Consistent Distributed Database
With the proliferation of the computer Cloud, new software delivery methods were created. In order to build software to fit into one of these models, a scalable, easy to deploy st...
Bogdan Carstoiu, Dorin Carstoiu
VLDB
2007
ACM
229views Database» more  VLDB 2007»
16 years 2 days ago
Sum-Max Monotonic Ranked Joins for Evaluating Top-K Twig Queries on Weighted Data Graphs
In many applications, the underlying data (the web, an XML document, or a relational database) can be seen as a graph. These graphs may be enriched with weights, associated with t...
Yan Qi 0002, K. Selçuk Candan, Maria Luisa ...