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  Lecturer to Study Trading Patterns at NSE
Dr Silas Onyango
Dr Onyango in his office.
Dr Silas Onyango, a lecturer in the Faculty of Commerce presented a paper on pattern recognition at an artificial intelligence (AI) conference held in Orlando, Florida from 9th to 12th July 2007. The paper was titled "On the Pattern Recognition of Verhulst-logistic Itô Processes in Market Price Data."

Research in AI is concerned with producing devices to automate tasks requiring intelligent behavior. Examples include control, planning and scheduling, the ability to answer diagnostic and consumer questions, handwriting, natural language, speech, and facial recognition.

Dr Onyango's paper uses the classical Hough transforms (HT) method in Matlab statistics software to recognize patterns in financial data from stock exchanges. The software then maps this data in geometric shapes. This data is very useful for those with an interest in financial markets.

For his paper, Dr Onyango who also teaches at Maseno University, used data derived from London Stock Exchange. He has now secured a research grant to study the Nairobi Stock Exchange (NSE).

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