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» Mining Regular Patterns in Data Streams
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KDD
2010
ACM
274views Data Mining» more  KDD 2010»
14 years 1 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
SAC
2008
ACM
13 years 9 months ago
Aggregation languages for moving object and places of interest
We address aggregate queries over GIS data and moving object data, where non-spatial information is stored in a data warehouse. We propose a formal data model and query language t...
Leticia I. Gómez, Bart Kuijpers, Alejandro ...
KDD
2010
ACM
199views Data Mining» more  KDD 2010»
14 years 1 months ago
Online discovery and maintenance of time series motifs
The detection of repeated subsequences, time series motifs, is a problem which has been shown to have great utility for several higher-level data mining algorithms, including clas...
Abdullah Mueen, Eamonn J. Keogh
KDD
2012
ACM
254views Data Mining» more  KDD 2012»
12 years 7 days ago
Playlist prediction via metric embedding
Digital storage of personal music collections and cloud-based music services (e.g. Pandora, Spotify) have fundamentally changed how music is consumed. In particular, automatically...
Shuo Chen, Josh L. Moore, Douglas Turnbull, Thorst...
EUROSSC
2007
Springer
14 years 4 months ago
Escalation:  Complex Event Detection in Wireless Sensor Networks
We present a new approach for the detection of complex events in Wireless Sensor Networks. Complex events are sets of data points that correspond to interesting or unusual patterns...
Michael Zoumboulakis, George Roussos