Multivariate statistics based, machine learning based, and pattern matching based methods are the most frequently adopted methodologies summarized in this article.
Once the terms are defined, the authors show how BL could be applied in a multi-scale based flow-pattern based method to analyze differential pressure signals of gas-liquid two-phase flow in small channels to reveal the underlying dynamic characteristics of different gas-liquid two-phase flow patterns, and their sensitivity to scale changes.
The clustering is performed by using a newly proposed clustering algorithm called FUPClust (Frequent Usage Pattern based Clustering) based on FUP interactions among modules.
To address this problem, we propose a pattern based resource allocation mechanism based on the following findings.
U.P.S. Airlines, working with Aviation Communications and Surveillance Systems, based in Phoenix, is developing a landing pattern based on separating planes by time, not distance, so they land at the briefest safe interval.
And since an algorithm cannot see the difference between patterns that are based on injustice and patterns that are based on traffic, choosing race as a characteristic in our model would have been unethical.
They described stressed and unstressed syllables and metrical patterns based on auditory quality.
An analysis of the characteristics of the transaction, environment and parties, indicated that the control strategy adopted appeared to be a trust based pattern of control, rather than a market based or bureaucratic based pattern.
They concluded that text-based and pattern-based score functions yield better accuracy and separability than citation-based score functions.
In this paper [7], the authors present three different prestige score (ranking) functions for the context-based environment, namely, citation-based, text-based, and pattern-based score functions.
