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» Anonymizing Temporal Data
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IJCNN
2007
IEEE
15 years 10 months ago
Neural Network Ensembles for Time Series Prediction
— Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predict...
Dymitr Ruta, Bogdan Gabrys
ICWSM
2010
15 years 5 months ago
Sequential Influence Models in Social Networks
The spread of influence among individuals in a social network can be naturally modeled in a probabilistic framework, but it is challenging to reason about differences between vari...
Dan Cosley, Daniel P. Huttenlocher, Jon M. Kleinbe...
MOBIDE
2006
ACM
15 years 10 months ago
Boosting location-based services with a moving object database engine
Composition of temporal and spatial properties of real world objects in a unified data framework results into Moving Object Databases (MOD). MODs are able to process, manage and a...
Nikos Pelekis, Yannis Theodoridis
IJCAI
2007
15 years 5 months ago
Detect and Track Latent Factors with Online Nonnegative Matrix Factorization
Detecting and tracking latent factors from temporal data is an important task. Most existing algorithms for latent topic detection such as Nonnegative Matrix Factorization (NMF) h...
Bin Cao, Dou Shen, Jian-Tao Sun, Xuanhui Wang, Qia...
WWW
2008
ACM
16 years 4 months ago
Scaling RDF with time
The World Wide Web Consortium's RDF standard primarily consists of (subject,property,object) triples that specify the value that a given subject has for a given property. How...
Andrea Pugliese, Octavian Udrea, V. S. Subrahmania...