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» Mining Compressing Sequential Patterns
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KDD
1998
ACM
212views Data Mining» more  KDD 1998»
13 years 11 months ago
Learning to Predict Rare Events in Event Sequences
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
Gary M. Weiss, Haym Hirsh
KDD
1997
ACM
106views Data Mining» more  KDD 1997»
13 years 11 months ago
Clustering Sequences of Complex Objects
Sequential Data This paper is about the unsuperviseddiscovery of patterns in sequencesof compositeobjects. A compositeobject may be describedas a sequenceof other, simpler data. In...
A. Ketterlin
EDM
2010
163views Data Mining» more  EDM 2010»
13 years 8 months ago
Can Order of Access to Learning Resources Predict Success?
Learning management systems capture student's interactions with the course contents in the form of event logs, including the order in which resources are accessed. We build on...
Hema Soundranayagam, Kalina Yacef
KDD
2004
ACM
211views Data Mining» more  KDD 2004»
14 years 7 months ago
Towards parameter-free data mining
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) R...
SSDBM
2010
IEEE
112views Database» more  SSDBM 2010»
13 years 11 months ago
BEMC: A Searchable, Compressed Representation for Large Seismic Wavefields
Abstract. State-of-the-art numerical solvers in Earth Sciences produce multi terabyte datasets per execution. Operating on increasingly larger datasets becomes challenging due to i...
Julio López, Leonardo Ramírez-Guzm&a...