|
Data Mining
CMU-RC draws upon a sophisticated combination of advanced hardware, software
and
data mining techniques to achieve unique solutions based on a client’s
specific needs.
At CMU-RC, we focus on data mining techniques such as:
Clustering: In a retail setting, clustering might be used to identify
similarities in purchasing
patterns among customers with similar
socio-demographic profiles.
Classification: In the healthcare industry, classification can be used to
group patients into disease-risk classes using data from health physical
test results.
Prediction: Fundamentally, prediction is used as a forecasting tool.
Prediction is often used
to forecast information such as future product
sales and weather patterns based
on historical trends.
Associations: Associations seek to identify naturally grouped events or
items. For instance,
if a customer at a grocery store buys a gallon of
milk, are there other items that customer is
likely to buy at the same
time?
Sequential Patterns: A version of an association technique, sequential
patterns correlated elements where there exists a significant amount of
time between each event. For instance, if an individual from a specific
socio-demographic group applies for a credit card, how often
will others
from that same group apply for credit cards within the next three months?
Conversely, sequential patterns may also be employed when a pair of
elements is specified
and the time periods are reported accordingly. For
instance, if an individual applies for a
credit card and ATM card, how
often do these two events occur within the same week,
month or year?
Similar Time Series: A similar time series technique clusters a group of
events or elements based on their similarity of pattern over a
chronological measure to time. For instance, this technique is commonly
used to group retail products with similar shifts in
sales volume over a
yearly cycle.
|
|
CMURC Research Committee Meeting, October 1, 11 a.m. - 5
p.m., Livonia, MI
CMURC BI Leadership Summit: October 2, 9 am to 4 pm, Livonia, MI
more
|
