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3 Journal of Telecommunications and Information Technology

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A framework for event based modeling and analysis

Granat J.

Journal of Telecommunications and Information Technology

2006

nr 4

88-90

In this paper we will present a framework for modeling and management of complex systems. There are various approaches for modeling of these systems. One of the approaches is events driven modeling and management of complex system. Such approach is needed in information systems that provide information in real-time. Most of the existing modeling approaches use only information about type of event and the time when an event occurs. However, in the databases we can store and then we can use much richer information about events. This information might be structured as well as unstructured. There are new challenges in algorithms development in case of description of event by various attributes.

Event mining based on observations of the system

Granat J.

Journal of Telecommunications and Information Technology

2005

nr 3

87-90

Event mining is becoming a challenging area of research. Event in system analysis is not a new concept. It has been used in Petri nets, stochastic modeling, etc. However, there are new opportunities that come from the large amount of data that is stored in various databases. In this paper we will focus on formulating the event mining tasks that consider observations of the system as well as internal and external events.

Data mining and complex telecommunications problems modeling

Granat J.

Journal of Telecommunications and Information Technology

2003

nr 3

115-120

The telecommunications operators have to manage one of the most complex systems developed by human beings. Moreover, the new technological developments, the convergence of voice and data networks and the broad range of services still increase this complexity. Such complex object as telecommunication network requires advanced software tools for their planning and management. Telecommunications operators collect large volumes of the data in various databases. They realize that the knowledge in these huge databases might significantly improve various organizational strategic and operational decisions. However, this knowledge is not given explicitly, it is hidden in data. Advanced methods and algorithms are being developed for knowledge extracting. In this paper we will focus on using data mining for solving selected problems in telecommunication industry. We will provide a systematic overview of various telecommunications applications.