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» Efficient frequent pattern mining over data streams
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EDBT
2009
ACM
170views Database» more  EDBT 2009»
15 years 1 months ago
Efficient constraint evaluation in categorical sequential pattern mining for trajectory databases
The classic Generalized Sequential Patterns (GSP) algorithm returns all frequent sequences present in a database. However, usually a few ones are interesting from a user's po...
Leticia I. Gómez, Alejandro A. Vaisman
KAIS
2010
139views more  KAIS 2010»
14 years 8 months ago
Periodic subgraph mining in dynamic networks
In systems of interacting entities such as social networks, interactions that occur regularly typically correspond to significant, yet often infrequent and hard to detect, interact...
Mayank Lahiri, Tanya Y. Berger-Wolf
CIKM
2009
Springer
15 years 29 days ago
Mining data streams with periodically changing distributions
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
Yingying Tao, M. Tamer Özsu
DAWAK
2007
Springer
15 years 3 months ago
Mining Trajectory Patterns Using Hidden Markov Models
Many studies of spatiotemporal pattern discovery partition data space into disjoint cells for effective processing. However, the discovery accuracy of the space-partitioning schem...
Hoyoung Jeung, Heng Tao Shen, Xiaofang Zhou
ISCI
2006
145views more  ISCI 2006»
14 years 9 months ago
Processing count queries over event streams at multiple time granularities
Management and analysis of streaming data has become crucial with its applications in web, sensor data, network traffic data, and stock market. Data streams consist of mostly nume...
Aykut Ünal, Yücel Saygin, Özgü...