This paper presents a new data hiding scheme via steganographic image transformation, which is different from conventional data hiding techniques. The transformation is achieved in the frequency domain and the concept of Fourier filtering method is used. An input image is transformed into a fractal image, which can be used in Computer Graphic (CG) applications. One of the main advantages of thi...

A database management system stores data in order to facilitate fast and efficient retrieval at a later point of time. The typical queries run on a database can be classified into three broad classes. They are range queries, k-nearest neighbor (k-NN) queries and box queries. Implementation of a box query typically involves simple comparisons among the query objects and index objects, however, i...

Recently, Aguilar-Ruiz [2005] considers a data matrix containing both scaling and shifting factors and shows that the mean squared residue [Cheng and Church, 2000], called RESIDUE(II) in this paper, is useful to discover shifting patterns, but not appropriate to find scaling patterns. This finding draws our attention on the weakness of RESIDUE(II) measure and the need of new approaches to disco...

MOTIVATION Most methods of analyzing microarray data or doing power calculations have an underlying assumption of constant variance across all levels of gene expression. The most common transformation, the logarithm, results in data that have constant variance at high levels but not at low levels. Rocke and Durbin showed that data from spotted arrays fit a two-component model and Durbin, Hardin...

The quality of knowledge extracted from a data set can be enhanced by its transformation. Discretization and filling missing data are the most common forms of data transformation. A new transformation method named feature bundling is introduced. A feature bundle involves a set of features in its pure or transformed form. The computational results reported in this paper show that the classificat...

Big data has the potential to improve the quality of services; enable infrastructure that businesses depend on to adapt continually and efficiently; improve the performance of employees; help organizations better understand customers; and reduce liability risks. Analytics and marketing models of fixed and mobile operators are falling short in combating churn and declining revenue per user. Big ...

Organization of information manipulated by applications vary widely in their representation. However, there does exist some commonality in the way these differences are realized. A better understanding of such commonality will allow for the development of tools that will simplify the task of reconciling those differences, thereby making it easier for applications to share information. In an eff...

Scientific data gathered from simulation or real measurement usually requires 64 bit floating point numbers to retain accuracy. Unfortunately, these numbers do not lend themselves to traditional compression techniques, such as run-length or entropy encoding used in most general compression schemes. A different approach is to recognize that a reversible signal transformation can encode the infor...

Schema-based data transformation and integration (DTI) has been an active research area for some time, while more recent advances in ontologies have led to significant research in ontology-based DTI. These two approaches present some overlaps and some differences, and in this paper we investigate possible synergies between them. In particular, we show how ontologies can enhance schema-based DTI...

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