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Unformatted text preview: e database scanning. It is employed to search for frequent item sets in
a transactional database. The association rules are then derived from these frequent
3. Attribute focusing. It looks for patterns with unusual probabilities by adding
attributes selectively into the patterns.
Neural Networks A neural network is a set of interlinked nodes called neurons. A neuron is a simple
device that computes function of its inputs. The inputs can be outputs of other
neurons or attribute values of an object. By adjusting the connection and the
functional parameters of the neurons, a neural network can be trained to model the
relationship between a set of input attributes and an output attribute. Such models
attempt to mimic brain activity by adapting the weights of the interconnections
among the neurons in the network allowing learning and memory creation to take
place. The neural network method is ideal for prediction and classification in
situations where there are a good deal of historical data available for training.
A fuzzy set is a set whose membership is fuzzy (based on rough match of attribute
values instead of exact matches). In conventional classification schemes, we look
for exact matches of attribute values (either true or totally false), but in systems
based on fuzzy sets, truth values can lie anywhere on the 0.0 to 1.0 interval of real
numbers. Using logical and fuzzy operators, such as AND, OR, NOT, VERY, and
SOMEWHAT, the system can make fuzzy decisions. For example,
IF (B OR C) THEN D
can be stated in a system based on fuzzy sets as
IF (SOMEWHAT B OR VERY C) THEN D
Systems based on fuzzy sets can be used to form a group of fuzzy sets for use, in
say, classification and clustering.
In this method, data is transformed into visual objects (such as dots, lines, and
areas) and displayed in a two or three dimensional space. Users then interactively
explore the interesting spots and useful patterns by usual examination.
Data Warehousing and Data Mining
It is important to know the difference between data warehousing and data mining.
As can be see...
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- Spring '14