The amount of generated and collected data has been rapidly increasing in the last decades; these huge data and information collections are far outpacing our abilities to analyse, summarize, and extract knowledge. This explosive growth in stored data has generated a need for new techniques that can help in transforming these large quantities of data into useful comprehensible knowledge. These t...

Geothermal reinjection is an important part of sustainable management of geothermal resources. Reinjection started out as a method of waste-water disposal, but is now also being used to counteract pressure draw-down and to extract more thermal energy from reservoir rocks. The possible cooling of production wells, or thermal breakthrough, is one of the main disadvantages associated with injectio...

A number of systems employ dynamic taint analysis to detect overwrite attacks in commodity software. These systems are based on the premise that low-integrity inputs should not control values such as function pointers and return addresses. Unfortunately, there are several programming constructs that can cause false positives and false negatives in these systems, which are currently handled by m...

Companies, governmental agencies and scientists produce a large amount of quantitative (research) data, consisting of measurements ranging from e.g. the surface temperatures of an ocean to the viscosity of a sample of mayonnaise. Such measurements are stored in tables in e.g. spreadsheet files and research reports. To integrate and reuse such data, it is necessary to have a semantic description...

This paper lays the foundations of an approach to applying Gromov’s ideas on quantitative topology to topological data analysis. We introduce the “contiguity complex”, a simplicial complex of maps between simplicial complexes defined in terms of the combinatorial notion of contiguity. We generalize the Simplicial Approximation Theorem to show that the contiguity complex approximates the homotop...

We present a working system for large scale quantitative narrative analysis (QNA) of news corpora, which includes various recent ideas from text mining and pattern analysis in order to solve a problem arising in computational social sciences. The task is that of identifying the key actors in a body of news, and the actions they perform, so that further analysis can be carried out. This step is ...

When it comes to COVID-19, access reliable data is vital. It crucial for the scientific community use reported by independent territories worldwide. This study evaluates reliability of pandemic disclosed 182 countries We collected and assessed conformity COVID-19 daily infections, deaths, tests, vaccinations with Benford’s law since beginning coronavirus pandemic. commonly accepted that frequen...