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PERVASIVE
2011
Springer
13 years 7 days ago
NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems
Abstract. Accurate and fine-grained prediction of future user location and geographical profile has interesting and promising applications including targeted content service, adv...
Salvatore Scellato, Mirco Musolesi, Cecilia Mascol...

Publication
502views
15 years 9 months ago
Spatio-Temporal Histograms
This paper presents a framework for building and continuously maintaining spatio-temporal histograms (ST-Histograms, for short). ST-Histograms are used for selectivity estimation o...
Hicham G. Elmongui, Mohamed F. Mokbel, Walid G. Ar...
ICDM
2010
IEEE
185views Data Mining» more  ICDM 2010»
13 years 7 months ago
Detecting Non-compliant Consumers in Spatio-Temporal Health Data: A Case Study from Medicare Australia
This paper describes our experience with applying data mining techniques to the problem of fraud detection in spatio-temporal health data in Medicare Australia. A modular framework...
Kee Siong Ng, Yin Shan, D. Wayne Murray, Alison Su...
CF
2004
ACM
14 years 2 months ago
A framework for resource discovery in pervasive computing for mobile aware task execution
Aimed to provide computation ubiquitously, pervasive computing is perceived as a means to provide a user the transparency of anywhere, anyplace, anytime computing. Pervasive compu...
K. Kalapriya, S. K. Nandy, Deepti Srinivasan, R. U...
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 years 10 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...