Home About Snape Signals Signal
Processing Pattern Recognition Data Mining Research Papers
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Data Visualisation and Analysis
One of the key tasks in mining data is
the discovery of hidden relationships, similarities, and differences between
records in the data set. Plotting the data records as points in a
two-dimensional map often renders these relationships immediately obvious to a
human. Difficulties arise because data is usually of high dimension and because
the appropriate distance metric to be used in the map is not known: it is the
choice of the right distance metric, which determines whether important hidden
relationships are made obvious in the data map. Snape Signals has developed
tools for projecting high dimensional data into two-dimensional maps and allowing
different distance metrics to be rapidly applied. The tools have been used for
applications ranging from analysis of customer creditworthiness, to analysis of
cell phone base station traffic. For more detail see: Data
Visualisation Tools (228kB) , Pre-processing
and Data Mining (177kB) , and Data Mining Papers (21kB)
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Cellular Phone Traffic Prediction
The growth in cell phone use has been
dependent on rapid network roll-out and expansion over the World. New base
stations need to be positioned and commissioned at optimal positions and times
to provide good service against capital investment. Snape Signals has used time
series analysis techniques and data mapping methods to produce customised
traffic prediction tools for cell phone networks.
Home About Snape Signals Signal
Processing Pattern Recognition Data Mining Research Papers