The human work involved in data transformation represents a major bottleneck for today’s data-driven organizations. In response, we present Predictive Interaction, a framework for interactive systems that shifts the burden of technical specification from users to algorithms, while preserving human guidance and expressive power.

Mainstream model transformation tools operate on graph structured models which are described by class-based meta-models. In the traditional grammarware space, transformation tools consume and produce tree structured terms, which are described by some kind of algebraic datatype or grammar. In this paper we explore a functional style of model transformation using Rascal, a meta-programming langua...

In this paper we present a new simple method to rewrite a given input string into another one which can be efficiently compressed (in some cases) by traditional compression methods. Key-Words:Data compression, Reversible transformation

Function discovery is the problem of nding a symbolic formula for a function f : D1!D2 from a set of examples f(x; y) j y = f(x)g D1 D2. Acceptable solutions are restricted to formulas expressible in some given description language L. In most previous discovery systems|for example, Bacon [4], Abacus [1], Coper [2], Fahrenheit [3] and IDS [5]|the description language is restricted to contain onl...

This paper presents a system for declaratively transforming medical subjects' data into a common data model representation. Our work is part of the "GAAIN" project on Alzheimer's disease data federation across multiple data providers. We present a general purpose data transformation system that we have developed by leveraging the existing state-of-the-art in data integration and query rewriting...

Jahanshahloo et al. (Appl Math Comput 153:215–224, 2004) propose a method for ranking extremely efficient decision making units (DMUs) in data envelopment analysis (DEA) using super-efficiency technique and l1-norm and they show that the presented method is able to eliminate the existing difficulties in some methods. This paper suggests an alternative transformation to convert the nonlinear mod...

The process of transforming and integrating XML data involves resolving the syntactic, semantic and schematic heterogeneities that the data sources present. Moreover, there are a number of different application settings in which such a process could take place, such as centralised or peer-to-peer settings, each of which needs to be considered separately. In this thesis, we investigate the probl...