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Bt9001
Fall 2015
1
What do you mean by data mining? How does it work?
Answer: The purpose
of data mining is to extract useful information from large databases or data
warehouses. Data mining applications are used for commercial and scientific
sides. Scientific data mining distinguishes itself in the sense that the nature
of the datasets is often very
2
Define noisy data. Briefly explain the data smoothening techniques.
Answer: “What is
noise?” Noise is random error or variance in measured variable. Given a numeric
attribute such as, price, how can we “smooth” out the data to remove the noise?
Let’ look at the following data smoothing techniques.
1) Binning: Binning methods smooth
a sorted data value by consulting its “neighborhood”, that is, the values
around it. The sorted values are distributed into a number of “buckets
2)
3
Briefly explain mining quantitative association rules.
Answer: Association Rule Mining: A Road Map
Market basket analysis
is just one form of association rule mining. In fact, there are many kinds of
4
Briefly explain Agent Based and Database Approaches to web mining.
Answer: The
agent-based approach to web mining involves the development of sophisticated AI
(Artificial Intelligence) systems that can act autonomously or
semi-autonomously
5
Define text mining. State the text retrieval methods
Answer: Text
mining, also referred to as text data mining, roughly equivalent to text
analytics, refers to the process of deriving high-quality information from
text. High-quality information is typically derived through the devising of
patterns and trends through means such
6
Briefly explain how data mining is used in medical applications.
Answer: Data mining
is a relatively new field of research whose major objective is to acquire knowledge
from large amounts of data. In medical and health care areas, due to
regulations and due to the availability of computers, a large amount of data is
becoming available. On the one hand, practitioners are expected to use all this
data in their work but, at the same time, such a large amount of data cannot be
processed by humans in a short time to make diagnosis, prognosis and treatment
schedules. A major objective of this thesis is to
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