Authority Miner is a visual analytical data mining workbench tool which can be used to build analytical processes that can be subsequently automated to provide up to date, timely and accurate information to decision makers within an organisation. It is intended to be used by end-users, business analysts and data miners. Authority Miner® was originally developed to interact with a range of Police legacy data systems but is capable of being used in a wide variety of environments. It is a desktop tool that can combine data from a range of data sources including Oracle, SQLServer and Access via ODBC, Excel, csv and txt files and also Microsoft Word and pdf documents. It can also export data to any of these formats. It can use data from multiple sources on the same desktop and in the same work process.
The above figure illustrates a simplistic Authority Miner work process that has been created to analyse physiological monitoring data. Rows from an Excel spreadsheet are combined with data from an Access database. On the left hand side of the work pane there are Node tabs from which a variety of data manipulation Nodes can be placed into the worksheet and linked to form a process flow. The tabs include Import, Export, Row manipulation and Column manipulation Nodes. As the data is parsed through each Node it is transformed in some way which is determined by the analytical requirements. There is a comprehensive set of programming functions that are capable of being embedded within each Node.
Once the processes have been completed, they can be re-run on both existing and new data to provide the required results. Processes can be shared centrally and are easily altered as the organisational needs change.
Authority Miner has capabilities to use neural networks to predict and classify data. A multi-layer perceptron is used to predict and classify together with a self-organising map which provides unsupervised learning capabilities.
Please click on the link to see an explanation of a few processes that are currently in use within the analytical community: