A knowledge discovery system is prone to yielding plenty of patterns, presented in the form of rules. Sifting through to identify useful and interesting patterns is a tedious and time consuming process. An important measure of interestingness is: whether or not the pattern can be used in the decision making process of a business to increase profit. Hence, actionable patterns, such as action rul...

Information is ubiquitous, and we are flooded with more than we can process. Somehow, we must rely less on visual processing, point-and-click navigation, and manual decision making and more on computer sifting and organization of information and automated negotiation and decision making. A resolution of these problems requires software with semantic understanding—a grand challenge of our time. ...

This paper introduces a new signal denoising based on the Empirical mode decomposition (EMD) framework. The method is a fully data driven approach. Noisy signal is decomposed adaptively into oscillatory components called Intrinsic mode functions (IMFs) by means of a process called sifting. The EMD denoising involves filtering or thresholding each IMF and reconstructs the estimated signal using ...

A modified bi-dimensional empirical mode decomposition (BEMD) method is proposed for sparsely decomposing a fringe pattern into two components, namely, a single intrinsic mode function (IMF) and a residue. The main idea of this method is a modified sifting process which employs morphological operations to detect ridges and troughs of the fringes, and uses weighted moving average algorithm to es...

Recent advances in DNA sequencing technology are transforming our understanding of the genetic basis of rare human diseases. It is now possible to rapidly and costeffectively interrogate the majority of protein-coding bases in the human genome (known collectively as the exome), finding mutations that would have been difficult if not impossible to discover with the traditional approaches of link...

We study certain aspects of the Selberg sieve, in particular when sifting by rather thin sets primes. derive new results for lower bound sieve suited especially this setup and we apply them to give a sieve-propelled proof o

Seventeen new species of Scolytodes Ferrari are described from Venezuela, Ecuador, Peru, Bolivia and Argentina: Scolytodes cenchros, S. concavifrons, S. conpunctus, S. fraterniatratus, S. frontocarinatus, S. solarius and S. trigonus from Cecropia leafstalks; S. pascopomus from a fruit husk; S. obovatus, S. clusiaphilus, S. clusiapraelatus and S. uniseriatus from Clusia litter sifting; S. grosse...

We present a method computing a minimum sized partition of the variables of an incompletely specied Boolean function into symmetric groups. The method can be used during minimization of robdds of incompletely speci ed Boolean functions. We apply it as a preprocessing step of symmetric sifting presented by Panda [24] and Moller [20] and of techniques for robdd minimization of incompletely speci...