-Knowledge discovery is the most discussed topic now a day. Data which is collected from various resources are processed through various stages and the output of this process is the knowledge which is previously hidden. Basically data mining is a technique whose outputs are previously unknown and potentially useful information from data. There are several challenges of data mining are scalabili...

5, av Pierre Mend&s-France 69676 BRON CEDEX FRANCE {zighed,rakotoma,ffeschet)@univ-lyon2.fr In this paper, we propose an extension of Fischer’s algorithm to compute the optimal discretization of a continuous variable in the context of supervised learning. Our algorithm is extremely performant since its only depends on the number of runs and not directly on the number of points of the sample dat...

In this paper, we propose a novel framework to deal with data imbalance in class association rule mining. In each class association rule, the right-hand is a target class while the left-hand may contain one or more attributes. This framework is focused on the multiple imbalanced attributes on the left-hand. In the proposed framework, the rules with and without imbalanced attributes are processe...

Previous experiments investigating ERP correlates of anticipatory attention shifts triggered by central symbolic cues have identified a contralateral "early directing attention negativity," which was assumed to be generated by processes involved in the control of spatial orienting. Here we demonstrate that this component is not directly linked to the control of attentional shifts, but instead r...

Setup planning is an intermediate phase of process planning, and automating setup planning constitutes a critical component of computer-aided process planning. The common absence of a clearly defined optimality of setup plans has been a major obstacle to converting automatic setup planning research progress into real advancement in practice. The optimality of a setup plan is a multiple attribut...

In this paper, 2D seismic data and petrophysical logs of the Pabdeh Formation from four wells of the Mansuri oil field are utilized. ΔLog R method was used to generate a continuous TOC log from petrophysical data. The calculated TOC values by ΔLog R method, used for a multi-attribute seismic analysis. In this study, seismic inversion was performed based on neural networks algorithm and the resu...

Many methods have been adopted by shipping operators to evaluate, analyze and select ports of calls. Majority of these methods are generally based on evaluating different port performance criteria involved. The ports performance criteria are interrelated and are of a complex nature. Comparison of ports by different evaluation methods provides a basis for implementing operating strategies for...

This paper extends the notion of Compositional Equivalence for multiple networks developed by Breiger and Pattison (1986) by providing with an effective way to include actor attributes in their relational structures. The relevant characteristics acquired from the actors are integrated into a single partially ordered semigroup structure that relates both ties and actor attributes in the network ...

To estimate multiple face attributes, independent classifier for each attribute are trained such as facial point detection, gender recognition, and age estimation in the conventional approach. It is inefficient because the computational cost of training and testing increases with the number of tasks. To address this problem, heterogeneous learning is able to train a single classifier to perform...