Data mining is a rapidly expanding field in many disciplines. It is becoming increasingly necessary to find data mining packages appropriate for a given analysis. The reasons as to why MATLAB (version 7.0) is the correct kind of package to use and its particular advantages with regards data mining are discussed in this work. MATLAB already supports various implementations of different stages of the data mining process,including various toolboxes created by experts in the field. An initial conclusion of this study is that MATLAB is a powerful and versatile package for fulfilling the requirements of the data mining process. It is clear, however, that there is a need for the extension and synthesis of the existing tools. Three such tools have been investigated fully; analysis of each tool is provided, with recommendations for further extensions.The synthesis of data mining tools outlined and demonstrated in this thesis allows for afar more holistic approach to data mining in MATLAB than has been available previously. This work ensures that data miningbecomes an increasingly straightforward task, as the appropriate tools for a given analysis become apparent. As a logical extension of the synthesis provided, a brief discussion is given with regard the creation of a data mining toolbox for MATLAB.The open-endedness of this study provides many areas for further investigation and further synthesis, both within MATLAB and in the field of data mining as a whole.

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