Amanote Research

Amanote Research

    RegisterSign In

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

doi 10.1109/icdm.2013.150
Full Text
Open PDF
Abstract

Available in full text

Date

December 1, 2013

Authors
Yuxuan LiJames BaileyLars KulikJian Pei
Publisher

IEEE


Related search

Mining Frequent Spatio-Temporal Sequential Patterns

English

Probabilistic Frequent Itemset Mining in Uncertain Databases

2009English

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

International Journal of Digital Earth
EarthPlanetary SciencesComputer Science ApplicationsSoftware
2016English

Learning Trajectory Patterns by Sequential Pattern Mining From Probabilistic Databases

2018English

Mining Frequent Subgraph Patterns From Uncertain Graphs

Ruan Jian Xue Bao/Journal of Software
Software
2009English

Mining Top-K Closed Sequential Patterns in Sequential Databases

IOSR Journal of Computer Engineering
2013English

Mining Closed Sequential Patterns in Large Sequence Databases

International Journal of Database Management Systems
2015English

Frequent Pattern Mining With Uncertain Data

2009English

Cross-Correlation Measure for Mining Spatio-Temporal Patterns

Journal of Database Management
HardwareInformation SystemsArchitectureSoftware
2013English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy