Rich, semantically descriptive file attributes are valuable in many contexts, such as semantic namespaces and desktop search. Descriptive attributes help users to find files placed in seemingly-arbitrary locations by different applications. However, extracting semantic attributes from file contents is nontrivial. An alternative is to examine file provenance: how and when files are used, and the...

We propose a semi-supervised framework to handle diverse data formats or data with mixedtype attributes. Our preliminary results in clustering data with mixed numerical and categorical attributes show that the proposed semi-supervised framework gives better clustering results in the categorical domain. Thus the seeds obtained from clustering the numerical domain give an additional knowledge to ...

In the present paper the effects of the thermal and mechanical actions on the residual stress field occurring in friction stir welding (FSW) of AA7075-T6 were investigated. Both numerical and experimental analyses were carried out to highlight the metallurgical phenomena and induced residual stresses in FS welded blanks. The welding process was simulated using a continuous rigid-viscoplastic fi...

This paper focuses on studying the interval continuous-time algebraic Riccati equation A∗X + XA + Q − XGX = 0, both from the theoretical aspects and the computational ones. In theoretical parts, we show that Shary’s results for interval linear systems can only be partially generalized to this interval Riccati matrix equation. We then derive an efficient technique for enclosing the united stable...

In this paper, rstly we have introduced to entropy of sequences of fuzzy sets and given sometheorems about it. Secondly, the waves P and T which appears in electrocardiograms weretransferred to fuzzy sets, by using denition of entropy for sequences of fuzzy sets, and somenumerical values were obtained for sequences of waves P and T. Thus any person can makea medical predictions for some cardiac...

Whether strange nonchaotic attractors (SNAs) can occur typically in dynamical systems other than quasiperiodically driven systems has long been an open question. Here we show, based on a physical analysis and numerical evidence, that robust SNAs can be induced by small noise in autonomous discrete-time maps and in periodically driven continuous-time systems. These attractors, which are relevant...

Building classification tools to discriminate between good and bad credit risks is a supervised learning task that can be solved using different approaches. In constructing such tools, generally, a set of training data containing qualitative and quantitative attributes is used to learn the discriminant rules. In real world of credit applications a lot of the available information about the cust...