| |
|
Featuring Real-World Applications of Data Mining Strategies
and Practices from Leading Industrial Statisticians: Puan
Saleha Yusof and Dr. Paul Mullenix, PhD, each with over 20
years experience in industry and published research in the
use of Data Mining techniques for process characterization
and market segmentation. |
“Data Mining” Series
Data Mining I (Multi
Vari Studies) 18-20 June 2007
Data Mining II (Multivariate Techniques) 25-27 June 2007
In today’s data rich age, vast amounts of data are routine collected.
These are termed ‘happenstance’ or ‘observational’ data.
The role of statistics with such observational data is to extract all
available information—often called Data Mining. Equally important is to
design the right sampling plan to afford the right data in order to
extract information which will allow critical sources of variation to be
identified, as well as, to the extent possible, highlight significant
relationships between inputs and outputs. The researcher can then use
statistical methods much like a detective looking for clues, to release
otherwise hidden information from data, providing knowledge for correct
decisions.
Observational data require special techniques and care in order to
extract meaningful information and reach valid conclusions.
Observational data are common in manufacturing and service industries
and can yield valuable information from normal process data without
resorting to designed experimental data which may be more costly to
obtain. Data Mining I program gives basic methods for data mining
observational data.
For the sake of simplicity we often deal with problems one variable at a
time. However, the world we live in is more complex with many
inter-related processes. In short, the world is multivariate. Data
Mining II program introduces the participant to basic types of analyses
for multivariate data. This will enable one to deal with correlated
data, explore many variables simultaneously and provide a more complete
characterization of processes.
What Participants will Gain:
-
Understanding Hypothesis Testing and Errors Involved in Decision
Making.
-
Learn the
Different Types of Statistical Tests Based on the Type of Data
Available.
-
Avoid the
Pitfalls and Perils of Analyzing Observational Data.
-
Improve
Utilization of Available Information.
-
Understanding Basic Multivariate Modeling Techniques.
-
Be Able to
Apply Multivariate Modeling to Characterize and Discover New
Patterns, Behaviors and Relationships.
Early
Bird/Group/Student/SMI discounts available; SBL claimable.
Contact
us at 03-5512 2629 or
contact@systats.com.my
for more
information.
|
