Sequential Requisites Analysis: A New Method for Analyzing Sequential Relationships in Ordinal Data*

A New Method for Analyzing Sequential Processes: Dynamic Multilevel Analysis

A Statistical Method for Sequential Images – Based Process Monitoring

Today, with the growth of technology, monitoring processes by the use of video and satellite sensors have been more expanded, due to their rich and valuable information. Recently, some researchers have used sequential images for image defect detection because a single image is not sufficient for process monitoring. In this paper, by adding the time dimension to the image-based process monitorin...

A method for business sequential data prediction

The paper describes the process and new methodology of a hybrid prediction system for business sequential data i.e. debt portfolio appraisal. Conducting the local area competence data mining approach, repayment values are predicted by means of combination of various data mining techniques. The methods include clustering of references, model selection and enrichment of input variables with predi...

A New Similarity Metric for Sequential Data

In many data mining applications, both classification and clustering algorithms require a distance/similarity measure. The central problem in similarity based clustering/classification comprising sequential data is deciding an appropriate similarity metric. The existing metrics like Euclidean, Jaccard, Cosine, and so forth do not exploit the sequential nature of data explicitly. In this chapter...

Detecting Data Races by Analyzing Sequential Traces

One of the fundamental problems encountered when debugging a parallel pro gram is determining the potential race conditions in the program A race condition exists when multiple tasks access shared data in an unconstrained order and at least one of the accesses is a write operation The program s behavior can be unpre dictable when race conditions are present This paper describes techniques which...