Principal component analysis (PCA) is a popular dimension reduction method to reduce the complexity and obtain the informative aspects of high-dimensional datasets. When the data distribution is skewed, data transformation is commonly used prior to applying PCA. Such transformation is usually obtained from previous studies, prior knowledge, or trial-and-error. In this work, we develop a model-b...

This paper studies syntax and semantics of the Entity-Relationship (ER) and Relational data model and their transformation. The ER model may be regarded as a platform independent model and the Relational model as a prototypical platform specific model. The paper studies the transformation between these models and proposes to express that transformation again as a model.

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Semicompeting risk outcome data (e.g., time to disease progression and time to death) are commonly collected in clinical trials. However, analysis of these data is often hampered by a scarcity of available statistical tools. As such, we propose a novel semiparametric transformation model that improves the existing models in the following two ways. First, it estimates regression coefficients and...

MOTIVATION AND RESULTS Durbin et al. (2002), Huber et al. (2002) and Munson (2001) independently introduced a family of transformations (the generalized-log family) which stabilizes the variance of microarray data up to the first order. We introduce a method for estimating the transformation parameter in tandem with a linear model based on the procedure outlined in Box and Cox (1964). We also d...

At present each neutron scattering facility has its own set of data treatment software, normally based on a proprietary data format. The travelling scientist is either forced to continually learn new software or to write conversion routines for his own software tools. During software development most of the time is spent on routines connected with file input and output or visualisation. Our aim...

With the increasing amount and diversity of information available on the Internet, there has been a huge growth in information systems that need to integrate data from distributed, heterogeneous data sources. Tracing the lineage of the integrated data is one of the current problems being addressed in data warehouse research. In this chapter, we propose a new approach for tracing data lineage wh...

Transformation of data with any data model is an important activity to the database community. Specially in peer to peer(P2P) system, data transformation between two peers is a necessary task when data management is an issue. With the advent of XML as an widely used and adopted data representation and exchange format over the web, transformation of data in XML P2P systems is getting much intere...

Data journalism can be mistaken as the new buzzword for infographics. This is true, but only to some extent. Visualizing data to tell stories started long before the Internet came into being. What makes an attractive infographics, is not the great design, but, more importantly, the insight it gives. The John Snow’s map of cholera outbreaks from nineteenth century London, is an example of refere...

The semantic interoperability between health information systems is a major challenge to improve the quality of clinical practice and patient safety. In recent years many projects have faced this problem and provided solutions based on specific standards and technologies in order to satisfy the needs of a particular scenario. Most of such solutions cannot be easily adapted to new scenarios, thu...