This is a progress report on an effort in which our goal is to demonstrate the effectiveness of automated data mining and planning for the daily management of Earth Science missions. Currently, data mining and machine learning technologies are being used by scientists at research labs for validating Earth science models. However, few if any of these advanced techniques are currently being integ...

nowadays, planning is no longer considered merely a scientific and technical career nor agovernment responsibity. it rather functions as a bridge connecting the planners to institutional changes. in otherwords, the planning theory does not develop in a social, economic and political vacuum, but is formulated byindividuals in social situations with the aim of clarifying the enviroment recommendi...

industrial-scale r&d it projects depend on many sub-technologies which need to be understood and have their risks analysed before the project can begin for their success. when planning such an industrial-scale project, the list of technologies and the associations of these technologies with each other is often complex and form a network. discovery of this network of technologies is time con...

This study aims to investigate the the link between web data mining and strategic human resources planning an application of web-based data mining that integrates online data collection and data mining in developing strategies for human resource planning. The study aims to focus particularly on web mining which may benefit societal areas by extracting new knowledge, providing support for decisi...

Industrial-Scale R&D IT Projects depend on many sub-technologies which need to be understood and have their risks analysed before the project can begin for their success. When planning such an industrial-scale project, the list of technologies and the associations of these technologies with each other is often complex and form a network. Discovery of this network of technologies is time consumi...

A plethora of vector-space representations for words is currently available, which is growing. These consist of fixed-length vectors containing real values, which represent a word. The result is a representation upon which the power of many conventional information processing and data mining techniques can be brought to bear, as long as the representations are designed with some forethought and...

This paper introduces the first ontological modeling environment for planning Knowledge Discovery (KDD) workflows. We use ontological reasoning combined with AI planning techniques to automatically generate workflows for solving Data Mining (DM) problems. The KDD researchers can easily model not only their DM and preprocessing operators but also their DM tasks, that are used to guide the workfl...

Faults are the most critical tectonic factors in geological structures, which have major economic impacts on mining economics. Thus it is necessary to understand faults in order to identify the actual risks and complications associated with mining. In the preliminary investigation of the Sonda-Jherruck coalfield, 3D geological modeling was not performed. The purpose of this work was to perform ...

Data mining is a difficult task that relies on an exploratory and analytic process of large quantities of data in order to discover meaningful patterns and rules. It requires complex methodologies, and the increasing heterogeneity and complexity of available data requires some skills to build the data mining processes, or knowledge flows. The goal of this work is to describe data-mining process...