Page 59 - DCAP603_DATAWARE_HOUSING_AND_DATAMINING

Unit 3: Data Mining Techniques

notes

Task Discuss the use of neural networks in data mining.

3.7 application of genetic algorithms in Data Mining

Genetic algorithms have been applies to data mining in two ways. External support is through
evaluation or optimization of some parameter for another learning system, often hybrid systems
using other data mining tools such as clustering or decision trees. In this sense, genetic algorithms
help other data mining tools operate more efficiently. Genetic algorithms can also be directly
applied to analysis, where the genetic algorithm generates descriptions, usually as decision rules
or decision trees. Many applications of genetic algorithms within data mining have been applied
outside of business. Specific examples include medical data mining and computer network
intrusion detection. In business, genetic algorithms have been applied to customer segmentation,
credit scoring, and financial security selection.
Genetic algorithms can be very useful within a data mining analysis dealing with more attributes
and many more observations. It says the brute force checking of all combinations of variable
values, which can make some data mining algorithms more effective. However, application
of genetic algorithms requires expression of the data into discrete outcomes, with a calculate
functional value which to base selection. This does not fit all data mining applications. Genetic
algorithms are useful because sometimes if does fit.

Business reporting & customer information Datamart
architecture setup & roll-out for a global technology
company
T o scope, define & design a structured & systemized architecture for capturing &

reporting Business & Financial performance metrics for APJCC:

1. Evaluate current processes & methodology for capturing & reporting Business &
financial performance metrics
2. Scope framework for systemized data capture & reporting of Business & financial
performance metrics
3. Key Areas identified: (1) ABC (2) OPEX (3) Revenue (4) Profitability Analysis
4. Define processes, systems & tools for systemized data capture & reporting of Business
& financial performance metrics
5. Design systems & tools for systemized data capture & reporting of Business &
financial performance metrics

To scope, define & design framework for building a Customer Information Datamart
Architecture for APJCC
1. Evaluate current processes & systems for capturing all customer contact information
for APJCC
2. Scope framework for systemized data capture of customer intelligence data
Contd...

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