This research proposes a novel method for melody difficulty classification performed using frequent pattern and inter-notes distance analysis. The Apriori algorithm was used to measure the frequency of notes in note sequence, which length is also included calculation. In addition, analysis level composition based on between successive notes. traditional Javanese compositions known as Gamelan mu...

This paper introduces a new and expressive algorithm for inducing descriptive rule-sets from streaming data in real-time order to describe frequent patterns explicitly encoded the stream. Data Stream Mining (DSM) is concerned with automatic analysis of streams real-time. Rapid flows challenge state-of-the art processing communication infrastructure, hence motivation research innovation into alg...

Discovering patterns from large datasets is inevitable in the modern data driven civilization. Many research works, and business models are depending on this excavation task. An efficient method for identifying categorizing different an exponentially growing database required to perform a clear excavation. A set of fresh processes such as Repeat Pattern Finder, Table, Threshold Analyzer, Node c...