2 Knowledge discovery from a large amount of unstructured or semi-structured text (KDT) has been quickly forming a major research trend. In particular, it has become extremely important for customer relationship management (CRM) and business intelligence (BI) applications since KDT will be able to go beyond conventional demographic and stochastic analysis of databases, and focus on textual info...

Descriptive analyses of the magnitude and situation of road safety in general and road accidents in particular is important, but understanding of data quality, factors related with dangerous situations and different interesting patterns in a data is of even greater importance. Under the umbrella of an information architecture research for road safety in developing countries, the objective of th...

The knowledge of cellular mechanisms in malignances of the bladder has grown exponentially. Molecular technologies have led to the discovery of the molecular pathways distinguishing low-and high-grade urothelial neoplasms. This trend portends the future in which the classification and diagnosis of the bladder tumors through morphologic analysis will be supported by molecular information correla...

Although inappropriate pharmacokinetic properties were a major cause of attrition in the 1990s, safety issues are recognized as today's single largest cause of drug candidate failure. It is expected that the right balance of in vivo, in vitro and computational toxicology predictions applied as early as possible in the discovery process will help to reduce the number of safety issues. This revie...

Three years ago, a novel association between myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and the murine retrovirus XMRV was published.[1] Since then, 191 papers have been published on the subject (NCBI PubMed, accessed 6 November 2012), largely disproving the initial association, a trend confirmed by a recent multicentre blinded trial which definitively concluded that there is n...

In the last years haplotype reconstruction and haplotype blocks discovery, i.e., the estimation of patterns of linkage disequilibrium (LD) in the haplotypes, riveted the attention of the computer scientists due to the involved strong computational aspects. Such tasks are usually faced separately; recently, statistical generative techniques permitted to solve them jointly. Following this trend, ...

Peptic ulcer disease (PUD) is one of the most commonly encountered gastroenterologic diseases in Korea. The trend in diagnosis and treatment of PUD in Korea has changed in the past decade with the introduction of endoscopy and potent acid suppressants such as proton pump inhibitors. The discovery of Helicobacter pylori has opened a new era for the understanding of pathogenesis and management of...

Introduction New Hypothesis formation may be an analyst-initiated activity, an automated process whereby a novel trend is discovered and tracked, or a hybrid one. In the hybrid case, the system offers its discovery of novel, potentially interesting patterns for analyst review, leading to new hypothesis being formed and tracked, or to discarding the novelty as coincidental or uninteresting. The ...

Immunological studies of single proteins in a single cell type have been complemented in recent years by larger studies, enabled by emerging high-throughput technologies. This trend has recently been exemplified by the discovery of gene networks controlling regulatory and effector αβ T cell subset development and human hematopoiesis. The Immunological Genome Project (ImmGen) aims to decipher th...

We present Text Insights, an application for understanding factors of user engagement in Facebook pages. Providing analytics based on natural language processing, Text Insights is complementary to existing tools offering mainly numerical indicators of user engagement. Our system extracts keyphrases from page content in a linguistically motivated manner. Keyphrases are weighted according to thei...