pattern discovery and visualization system based on augmenting suffix trees. VizTree visually summarizes both the global and local structures of time series data at the same time. In addition, it provides novel interactive solutions to many pattern discovery problems, including the discovery of frequently

-/downregulation of the Bcl-2 proteins. Under several assumptions, and using estimated reaction parameters, a non-linear stimulus-response emerged, whose characteristics are associated with bistability and switch-like behavior. Interestingly, using the principal component analysis (PCA) we have shown that the given model

The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-separable data, working through a non-trivial example in detail. We describe a mechanical analogy, and discuss when

of novel Internet worms. Generation of the worm signatures required by an IDS—the byte patterns sought in monitored traffic to identify worms—today entails non-trivial human labor, and thus significant delay: as network operators detect anomalous behavior, they communicate with one another and manually

Knowledge discovery is the process of discovering interesting, non-trivial patterns in data [l]. In the sub-field called knowledge discovery in databases (KDD) the discovery process targets data repositories, and often includes metrics on the results it has achieved, measuring how good

external pressure. PACS. 46.32.+x Static buckling and instability – 82.70.Dd Colloids – 89.75.Kd Patterns 1

Design patterns are an abstraction that can provide guidance in creating software. However, the adherence of design pattern implementations to design pattern descriptions is typically not enforced. While guaranteeing perfect adherence of an implementation is impossible for many non-trivial patterns

We review the very stringent lower bounds on the string scale that arise from flavor considerations in models with intersecting branes. Despite the absence of a realistic flavor structure at tree level, flavor changing interactions induce a non-trivial pattern of fermion masses and mixing angles

treatment and to discover strong decision rules representing classification patterns interesting for practitioners. The ESWL information system is an example of non-trivial medical data set where the use of a simple rough set model gives a high number of possible reducts which are impossible to interpret

non-trivial patterns from them. In this frame-work, we describe the methodology we are adopting to explore the way students learn the concepts of digital electronics by exploiting LA. In par-ticular, a simulator named DEEDS (Digital Electronics Education and Design Suite) is used, and we aim