Naiem Khodabandehloo Yeganeh

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Data Quality is a cross-disciplinary and often domain specific problem due to the importance of fitness for use in the definition of data quality metrics. It has been the target of research and development for over 4 decades by business analysts, solution architects, database experts and statisticians to name a few. However, the changing landscape of data(More)
Data Quality has been the target of research and development for over four decades, and due to its cross-disciplinary nature has been approached by business analysts, solution architects, database experts and statisticians to name a few. As data quality increases in importance and complexity, there is a need to motivate the exploitation of synergies across(More)
Traditional query systems do not factor in data quality considerations in their response. However, the issue of data quality is of growing importance as individuals as well as corporations are increasingly relying on multiple, often external sources of data to make decisions. Previous studies have identified diverse interpretations of data quality(More)
Telecommunication operators currently servicing mobile users world-wide have dramatically increased in the last few years. Although most of the operators use similar technologies and equipment provided by world leaders in the field such as Ericsson, Nokia-Siemens, Motorola, etc, it can be observed that many vendors utilize propriety methods and processes(More)
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