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What makes the development of decision support systems (DSS) particularly challenging is the change dynamics of the design space, the instability of initial specifications, and the lack of an adequate model of the decision making process. Facing these, one can appreciate a methodology that can drive the designer's creative effort within a particular decision context. The paper aims to outline the...
This paper presents a model of a navigation system in a public information system, that can be used to improve the structure and content of the information repository via self-organization capabilities based on social interaction. This model has the primary goal of establishing a generic and adaptive social-based self-structuring navigation system. To achieve this goal, the model integrates the concepts...
Complexity of tsunami modeling requires designing software system with high level of reusability and interoperability of its components, and flexible resource management. In this paper we investigate how to integrate the tsunami modeling software with an agent-based resource management infrastructure.
One of the biggest problems facing Web-based Information Systems (WIS) is the complexity of the information searching/retrieval processes, especially the information overload, to distinguish between relevant and irrelevant content. In an attempt to solve this problem, a wide range of techniques based on different areas has been developed and applied to WIS. One of these techniques is the information...
The Multiple Pheromone Ant Clustering Algorithm (MPACA) models the collective behaviour of ants to find clusters in data and to assign objects to the most appropriate class. It is an ant colony optimisation approach that uses pheromones to mark paths linking objects that are similar and potentially members of the same cluster or class. Its novelty is in the way it uses separate pheromones for each...
The main purpose of this paper is to assess the level of Business Intelligence (BI) maturity in organizations. The research questions I ask in this study are: (1) what possibilities offer BI systems for different organizations, (2) how to measure and evaluate the BI maturity in organizations? The study was based on: (1) a critical analysis of literature, (2) a observation of different BI initiatives...
In this paper, we suggest an inspired architecture by brain emotional processing for classification applications. The architecture is a type of ensemble classifier and is referred to as ‘emotional learning-inspired ensemble classifier’ (ELiEC). In this paper, we suggest the weighted k-nearest neighbor classifier as the basic classifier of ELiEC. We evaluate the ELiEC's performance by classifying some...
Taking an existing large-scale simulation model of the German toll system we identify the typical workload by profiling the runtime behavior. Crucial performance hot spots are identified and related to the real-world application to analyze and evaluate the observed efficiency. In a benchmark approach we compare the observed performance to different simulation frameworks.
During the last decade there has been a shift in the way learning process is conducted. One of the main reasons is that technology is changing. Due to this fast movement, concepts like “class”, “workgroup” and “learning process” are changing too. Learning processes are going beyond the boundaries of what was known as “class”. Face-to-face models get mixed with online environments where students are...
The combination of game theory and data mining opens new directions and opportunities for developing novel methods for extraction of knowledge among multiple collaborative agents. This paper extends on this combination, and motivated by the work of Nix and Kantarcioglu employs the Vickrey-Clarke-Groves (VCG) mechanism to achieve privacy-preserving collaborative classification. Specifically, in addition...
Spam detection based on flow-level statistics is a new approach in anti-spam techniques. The approach reduces number of collected data but still can obtain relative good results in a spam detection task. The main problems in the approach are selection of flow-level features that describe spam and detection of discrimination rules. In this work, flow-level model of spam is presented. The model describes...
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