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ICMI
2009
Springer
123views Biometrics» more  ICMI 2009»
14 years 5 months ago
Learning and predicting multimodal daily life patterns from cell phones
In this paper, we investigate the multimodal nature of cell phone data in terms of discovering recurrent and rich patterns in people’s lives. We present a method that can discov...
Katayoun Farrahi, Daniel Gatica-Perez
VLDB
2005
ACM
122views Database» more  VLDB 2005»
14 years 4 months ago
Streaming Pattern Discovery in Multiple Time-Series
In this paper, we introduce SPIRIT (Streaming Pattern dIscoveRy in multIple Timeseries). Given n numerical data streams, all of whose values we observe at each time tick t, SPIRIT...
Spiros Papadimitriou, Jimeng Sun, Christos Falouts...
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
14 years 14 days ago
Patterns of Cascading Behavior in Large Blog Graphs
How do blogs cite and influence each other? How do such links evolve? Does the popularity of old blog posts drop exponentially with time? These are some of the questions that we ...
Jure Leskovec, Mary McGlohon, Christos Faloutsos, ...
DIS
2009
Springer
14 years 5 months ago
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams
Some challenges in frequent pattern mining from data streams are the drift of data distribution and the computational efficiency. In this work an additional challenge is considered...
Fabio Fumarola, Anna Ciampi, Annalisa Appice, Dona...
FLAIRS
1998
14 years 12 days ago
A Sequence Building Approach to Pattern Discovery in Medical Data
The goal of the research being reported is the discovery of useful concepts in temporal medical databases. In this paper, we present a sequence building approach, based on the Gen...
Jorge C. G. Ramirez, Lynn L. Peterson, Dolores M. ...