Amanote Research

Amanote Research

  • Register
  • Sign In

Mining Frequent Spatio-Temporal Sequential Patterns

doi 10.1109/icdm.2005.95

Full Text

Abstract

Available in

Date

Unknown

Authors

N. MamoulisD.W. Cheung

Publisher

IEEE


Related search

Mapping Frequent Spatio-Temporal Wind Profile Patterns Using Multi-Dimensional Sequential Pattern Mining

International Journal of Digital Earth
EarthPlanetary SciencesComputer Science ApplicationsSoftware
2016English

Mining Probabilistic Frequent Spatio-Temporal Sequential Patterns With Gap Constraints From Uncertain Databases

2013English

Cross-Correlation Measure for Mining Spatio-Temporal Patterns

Journal of Database Management
HardwareInformation SystemsArchitectureSoftware
2013English

Toward Spatio-Temporal Patterns

2004English

Post Sequential Patterns Mining

IFIP International Federation for Information Processing
2005English

Spatio-Temporal Data Classification Through Multidimensional Sequential Patterns: Application to Crop Mapping in Complex Landscape

Engineering Applications of Artificial Intelligence
ControlSystems EngineeringElectricalArtificial IntelligenceElectronic Engineering
2015English

Mining Frequent Trajectory Patterns From GPS Tracks

2010English

Design Patterns for Spatio-Temporal Processes

1998English

Mining Frequent Subgraph Patterns From Uncertain Graphs

Ruan Jian Xue Bao/Journal of Software
Software
2009English

Amanote Research

Note-taking for researchers

Follow Amanote


© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy