The information overload caused by the massive influx of raw data has caused traditional data analysis to become insufficient. This caused a new interdisciplinary field of data mining to arise, ...encompassing both classical statistical, and modern machine learning tools to support the data analysis and knowledge discovery from databases. While data mining methods are powerful in dealing with large quantities of data, they are often difficult to master by business users to facilitate decision support. In this paper we introduce our approach to integration of decision support system with data mining methods. We discuss the role of data mining to facilitate decision support, the role of data mining in decision support systems, discuss underlying ideas and applied approaches and introduce a data mining decision support system called DMDSS (Data Mining Decision Support System). We present some obtained results and their beneficial use as expected by the business users.
In transition economies, information and communication technology (ICT) is vital for successful companies and may compensate for an underdeveloped infrastructure and lack of resources. The ...development of complex ICT systems requires skilled ICT professionals who are often difficult to acquire. In this paper, we address this specific issue of transition economies and propose a novel global software development approach that aims to compensate for the lack of skilled ICT professionals by outsourcing independent development tasks globally to remote developers. The proposed approach was empirically tested in a pilot study at three different locations at University of Ljubljana in Slovenia. The test demonstrated the feasibility of the approach and indicated that task specification quality and developer skills are important success factors. The findings of the pilot study are primarily relevant for software development companies in transition economies even though the approach may also be applicable in other settings where lack of locally accessible skilled ICT professionals is present.
Due to increasingly demanding requirements for business flexibility and agility, automation of end-to-end industrial processes has become an important topic. Business process execution needs to ...support automated tasks execution as well as human tasks. In this paper we show that for certain types of human tasks it is relevant to consider their further automation. We propose a service-oriented architectural framework for human task execution, which improves their execution by automating and semi-automating decision making based on ontologies and agent technology. The approach is generic and can be used for any type of industrial or industrial support business process. As a proof-of-concept we have developed a system providing the above-described support for human task intensive business processes in an electric power transmission company, which has shown considerable improvements in the efficiency of human tasks.
The increasing amount of information and the absence of an effective tool for
assisting users with minimal technical knowledge lead us to use associative
thinking paradigm for implementation of a ...software solution - Panorama. In
this study, we present object recognition process, based on context + focus
information visualization techniques, as a foundation for realization of
Panorama. We show that user can easily define data vocabulary of selected
domain that is furthermore used as the application framework. The purpose of
Panorama approach is to facilitate software development of certain problem
domains by shortening the Software Development Life Cycle with minimizing the
impact of implementation, review and maintenance phase. Our approach is
focused on using and updating data vocabulary by users without extensive
programming skills. Panorama therefore facilitates traversing through data by
following associations where user does not need to be familiar with the query
language, the data structure and does not need to know the problem domain
fully. Our approach has been verified by detailed comparison to existing
approaches and in an experiment by implementing selected use cases. The
results confirmed that Panorama fits problem domains with emphasis on data
oriented rather than ones with process oriented aspects. In such cases the
development of selected problem domains is shortened up to 25%, where
emphasis is mainly on analysis, logical design and testing, while omitting
physical design and programming, which is performed automatically by Panorama
tool.
nema
In this paper we propose facilitating ontology development by constant evaluation of steps in the process of ontology development. Existing methodologies for ontology development are complex and they ...require technical knowledge that business users and developers don't poses. By introducing ontology completeness indicator developer is guided throughout the development process and constantly aided by recommendations to progress to next step and improve the quality of ontology. In evaluating the ontology, several aspects are considered; from description, partition, consistency, redundancy and to anomaly. The applicability of the approach was demonstrated on Financial Instruments and Trading Strategies (FITS) ontology with comparison to other approaches.
In this paper we propose facilitating ontology development by constant evaluation of steps in the process of ontology development. Existing methodologies for ontology development are complex and they ...require technical knowledge that business users and developers don't poses. By introducing ontology completeness indicator developer is guided throughout the development process and constantly aided by recommendations to progress to next step and improve the quality of ontology. In evaluating the ontology, several aspects are considered; from description, partition, consistency, redundancy and to anomaly. The applicability of the approach was demonstrated on Financial Instruments and Trading Strategies (FITS) ontology with comparison to other approaches.
The increasing amount of information and the absence of an effective tool for assisting users with minimal technical knowledge lead us to use associative thinking paradigm for implementation of a ...software solution - Panorama. In this study, we present object recognition process, based on context + focus information visualization techniques, as a foundation for realization of Panorama. We show that user can easily define data vocabulary of selected domain that is furthermore used as the application framework. The purpose of Panorama approach is to facilitate software development of certain problem domains by shortening the Software Development Life Cycle with minimizing the impact of implementation, review and maintenance phase. Our approach is focused on using and updating data vocabulary by users without extensive programming skills. Panorama therefore facilitates traversing through data by following associations where user does not need to be familiar with the query language, the data structure and does not need to know the problem domain fully. Our approach has been verified by detailed comparison to existing approaches and in an experiment by implementing selected use cases. The results confirmed that Panorama fits problem domains with emphasis on data oriented rather than ones with process oriented aspects. In such cases the development of selected problem domains is shortened up to 25%, where emphasis is mainly on analysis, logical design and testing, while omitting physical design and programming, which is performed automatically by Panorama tool.
Rounding of the so-called infinite precision coefficients to their nearest finite wordlength representation is often used for reasons of simplicity. This rounding, however, is typically far from ...optimal. A significantly better rounding method that uses a technique called telescoping is presented in this paper. Its practical effectiveness in the design of suboptimal finite wordlength filters is demonstrated. It can also be used to speed up the algorithms for optimal finite wordlength FIR filter design.
Modern organizations use several types of decision support systems to facilitate decision support. In many cases OLAP based tools are used in the business area, which enable multiple views on data ...and through that a deductive approach to data analysis. Data mining extends the possibilities for decision support by discovering patterns and relationships hidden in data and therefore enabling the inductive approach of data analysis. The paper introduces data mining based decision support system, which was designed for business users to enable them to use data mining models to facilitate decision support with only a basic level of knowledge of data mining
Due to more and more demanding requirements for business flexibility and agility, automation
of end-to-end industrial processes has become an important topic. Systems supporting
business process ...execution need to enable automated tasks execution as well as integrate
human performed tasks (human tasks) into a business process. In this paper, we focus on
collaboration tasks, which are an important type of composite human tasks. We propose a
service-oriented architectural framework describing a service responsible for human task
execution (Human task service), which not only implements collaboration tasks but also
improves their execution by automated and semi-automated decision making and
collaboration based on ontologies and agent technology. The approach is very generic and can
be used for any type of business processes. A case study was performed for a human task
intensive business process from an electric power transmission domain.
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