Alexandru Coman

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Breast cancer represents the second leading cause of cancer deaths in women today and it is the most common type of cancer in women. This paper presents some experiments for tumour detection in digital mammography. We investigate the use of different data mining techniques, neural networks and association rule mining, for anomaly detection and(More)
Wireless sensor networks consist of nodes with the ability to measure, store, and process data, as well as to communicate wirelessly with nodes located in their wireless range. Users can issue queries over the network, e.g., retrieve information from nodes within a specified region, in applications such as environmental monitoring. Since the sensors have(More)
We consider the problem of processing join queries in a wireless sensor network, focusing on where (which sensor node(s)) to process the join. We propose four strategies for processing such queries and investigate their performance across several scenarios. Not surprisingly, our experiments show that no single strategy performs best for all scenarios. In(More)
This paper presents two classification systems for medical images based on association rule mining. The system we propose consists of: a pre-processing phase, a phase for mining the resulted transactional database, and a final phase to organize the resulted association rules in a classification model. The experimental results show that the method performs(More)
This paper proposes a new classification method based on association rule mining. This association rule-based clas-sifier is experimented on a real dataset; a database of medical images. The system we propose consists of: a pre-processing phase, a phase for mining the resulted transac-tional database, and a final phase to organize the resulted association(More)
In recent years, wild birds have introduced multiple highly pathogenic avian influenza (HPAI) H5N1 virus infections in Romanian poultry. In 2005 HPAI infections were widespread among domestic poultry and anecdotal reports suggested domestic pigs may also have been exposed. We sought to examine evidence for zoonotic influenza infections among Romanian(More)
Sensor networks are an emerging technology that provide new means to monitor and understand various phenomena. Nodes in a sensor network typically have a limited power supply, thus energy-efficient processing of the queries over the network is a critical issue. We propose analytical models to evaluate the performance of three methods for processing(More)
Sensor networks are made of autonomous devices that are able to collect, store, process and share data with other devices. Spatiotemporal region queries can be used for retrieving information of interest from such networks. Such queries require the answers only from the subset of the network nodes that fall into the query region. If the network is redundant(More)