Association rule mining plays vital part in knowledge mining. The difficult task is discovering knowledge or useful rules from the large number of rules generated for reduced support. For pruning or grouping rules, several techniques are used such as rule structure cover methods, informative cover methods, rule clustering, etc. Another way of selecting association rules is based on interestingn...

Please do not cite without permission We appreciate the many helpful comments from Design choices regarding the features of a product costing system significantly influence the accuracy of reported costs used in product-and capacity planning decisions. Using simulations, we examine how an amalgam of system design choices influences the error in reported costs. We focus on popular heuristics / r...

Today, feature-based process planning has been popular in academia and industry with its ability to rigorously integrate design and manufacturing. To date, research on feature sequencing is mainly focused on using expert systems or knowledge-based systems, geometric based approaches, unsupervised-learning or artificial neural network, and genetic algorithms. The approach presented in this paper...

In this paper we present a new algorithm for grouping 2D line segments into open and closed polygons that correspond to feasible physical 3D structures. The algorithm starts by identifying junctions made of two line segments and then forms triples by combining pairs of junctions which share a common line. These triples are then scanned by a procedure which connects them into polygon structures....

This report introduces the grouping-based architecture exploration of the system level design. The grouping-based architecture exploration selects processing elements (PEs) to assemble the system architecture according to the design’s functionality. Furthermore, it maps design’s functional blocks to the selected PEs to pursue the shortest execution time . This report outlines the design flow of...

In complex systems it often occurs that relevant information about the system state and behavior is provided by groups of low-level variables rather than single variables. This grouping into high-level variables introduces a hierachy in the knowledge that can only be captured by means of rules involving propositions with a representation capability that is more complex than usual ones. In this ...

Grouping in vision can be seen as the process that organizes image entities into higher-level structures. Despite its importance, there is little consistency in the statement of the grouping problem in literature. In addition, most grouping algorithms in vision are inspired on a specific technique, rather than being based on desired characteristics, making it cumbersome to compare the behavior ...

One of the challenges of this decade is to rationalize the consumption of global resources while increasing economic activity. Remanufacturing is an option to this challenge; however this end of life strategy must be optimized. The information collected from a franking machine manufacturer, which has set up a refurbishment activity of its machines, has allowed us to qualify remanufacturing as a...