Mining Closed Sequential Patterns in Large Sequence Databases

International Journal of Database Management Systems
doi 10.5121/ijdms.2015.7103
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Academy and Industry Research Collaboration Center (AIRCC)

Related search

Mining Top-K Closed Sequential Patterns in Sequential Databases

IOSR Journal of Computer Engineering
2013English

Mining Fuzzy Sequential Patterns With Fuzzy Time-Intervals in Quantitative Sequence Databases

Cybernetics and Information Technologies
Computer Science
2018English

Mining Sequential Patterns More Efficiently by Reducing the Cost of Scanning Sequence Databases

IPSJ Digital Courier
2006English

Learning Trajectory Patterns by Sequential Pattern Mining From Probabilistic Databases

2018English

Approximate Sequential Patterns for Incomplete Sequence Database Mining

IEEE International Conference on Fuzzy Systems
Applied MathematicsTheoretical Computer ScienceArtificial IntelligenceSoftware
2007English

Exploring Multi-Dimensional Sequential Patterns Across Multi-Dimensional Multi-Sequence Databases

International Journal of Digital Content Technology and its Applications
2011English

Efficient Mining for Structurally Diverse Subgraph Patterns in Large Molecular Databases

Machine Learning
Artificial IntelligenceSoftware
2010English

Mining Viewpoint Patterns in Image Databases

2003English

Post Sequential Patterns Mining

IFIP International Federation for Information Processing
2005English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy