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This paper proposes automated support for classifying reported software failures in order to facilitate prioritizing them and diagnosing their causes. A classification strategy is presented that involves the use of supervised and unsupervised pattern classification and multivariate visualization. These techniques are applied to profiles of failed executions(More)
BACKGROUND Ovarian cancer is the most lethal gynecologic disease in the United States, with more women dying from this cancer than all gynecological cancers combined. Ovarian cancer has been termed the "silent killer" because some patients do not show clear symptoms at an early stage. Currently, there is a lack of approved and effective early diagnostic(More)
The design and construction of navigation menus for websites have traditionally been performed manually according to the intuition of a web developer. This paper introduces a new approach, FcAWN (pronounced " fawn ") – Formal concept Analysis for Web Navigation – to assist in the design and generation of a coherent and logical navigation hierarchy for a set(More)
Wavelet denoising methods have been proven useful for many one- and two-dimensional problems. Most existing methods can in principle be carried over to three-dimensional problems, such as the denoising of volumetric positron emission tomography (PET) images, but they may not be sufficiently flexible in allowing some regions of an image to be denoised more(More)
1 Abstract A better understanding of the degradation modes and rates for photovoltaic PV modules is necessary to optimize and extend the lifetime of modules. Lifetime and degradation science (L&DS) is used to better understand degradation modes, mechanisms and rates of materials, components and systems in order to predict lifetime of PV modules. Statistical(More)
Based on recent advances in nanoscience, data science and the availability of massive real-world data-streams, the mesoscopic evolution of mesoscopic energy materials can now be more fully studied. The temporal evolution is vastly complex in time and length scales and is fundamentally challenging to scientific understanding of degradation mechanisms and(More)
MOTIVATION Large-scale cancer genomic studies, such as The Cancer Genome Atlas (TCGA), have profiled multidimensional genomic data, including mutation and expression profiles on a variety of cancer cell types, to uncover the molecular mechanism of cancerogenesis. More than a hundred driver mutations have been characterized that confer the advantage of cell(More)
In order to optimize and extend the life of photovoltaics (PV) modules, scientific and mechanistic statistical analytics must be performed on a large sample of materials, components and systems. Statistically significant relationships were investigated between different mechanistically based variables to develop a statistical pathway diagram for the(More)