Finding Approximate Repeating Patterns from Sequence Data

In this paper, an application of feature extraction from music data is first introduced to motivate our research of finding approximate repeating patterns from sequence data. An approximate repeating pattern is defined as a sequence of symbols which appears more than once under certain approximation types in a data sequence. By using the ‘cut’ and ‘pattern_join’ operators, we develop a level-wise approach to solve the problem of finding approximate repeating patterns.

• Type: Conference
• Year: 2004
• Where: ISMIR
• Authors: Jia-Lien Hsu, Arbee L. P. Chen, Hung-Chen Chen
• Keywords: Approximate Repeating Patterns, Certain Approximation Types, ISMIR 2004, Sequence Data