One of the focused themes in data mining research is to discover frequent and repetitive patterns from the data. The success of frequent pattern mining (Han, Cheng, Xin, & Yan, 2007) in structured data (e.g., transaction data) and semi-structured data (e.g., text) has recently aroused our curiosity in applying them to multimedia data. Given a collection of unlabeled images , videos or audios, t...

Discovering repetitive patterns is important in a wide range of research areas, such as bioinformatics and human movement analysis. This study puts forward a new methodology to identify, visualise and interpret repetitive motion patterns in groups of Moving Point Objects (MPOs). The methodology consists of three steps. First, motion patterns are qualitatively described using the Qualitative Tra...

The efficient and robust extraction of repetitive patterns from images is a ground challenge problem in computer vision. The repetitive patterns in images are products of both repetitive structures as well as repetitive reflections or color patterns. The perception of repetitive patterns in an image is strongly linked to the visual interpretation and composition of objects or textures. In other...

Mining frequent sequential patterns from sequence databases has been a central research topic in data mining and various efficient mining sequential patterns algorithms have been proposed and studied. Recently, in many problem domains (e.g, program execution traces), a novel sequential pattern mining research, called mining repetitive gapped sequential patterns, has attracted the attention of m...

This research aims to identified and obtain a description metacognition skill components of students in SMA Al-Azhar Mandiri Palu solving mathematical problem about linear program based on the level ability students. The type this is qualitative research. subject class XII D SMA-Al-Azhar who have high, medium low math ability. Data were collected by video recording, test method interview. resul...

Repetitive patterns typically arise from man-made objects and are ubiquitous in image collections. Because of their highly repetitive structure, imaged patterns violate statistical assumptions typically made in scene understanding algorithms, often negatively impacting algorithm efficacy. Conversely, repetitive patterns could be detected and modeled so that their distinctive structures are leve...

Structural repetitive subsequences are most important portion of biological sequences, which play crucial roles on corresponding sequence’s fold and functionality. Biggest class of the repetitive subsequences is “Transposable Elements” which has its own sub-classes upon contexts’ structures. Many researches have been performed to criticality determine the structure and function of repetitiv...

structural repetitive subsequences are most important portion of biological sequences, which play crucial roles on corresponding sequence’s fold and functionality. biggest class of the repetitive subsequences is “transposable elements” which has its own sub-classes upon contexts’ structures. many researches have been performed to criticality determine the structure and function of repetitive su...