Time Series Clustering is an important subroutine in many higher-level data mining
analyses, including data editing for classifiers, summarization, and outlier detection. It is well …

Abstract Domains such as business processes and workflows require working with multi-
dimensional ordered objects. There is a need to analyze this data for operational insights …

Domains such as scientific workflows and business processes exhibit data models with
complex relationships between objects. This relationship is typically represented as …

Given the ubiquity of time series data in scientific, medical and financial domains, data
miners have made substantial efforts to design efficient algorithms for classification …

High dimensional biological datasets in recent years has been growing rapidly. Extracting
the knowledge and analyzing highdimensional biological data is one the key challenges in …