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Data Mining Assessment

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Data Mining Assessment

 

1. What is data mining? In your answer, address the following:
a) Is it another hype?
b) Is it a simple transformation or application of technology developed from databases, statistics,
machine learning, and pattern recognition?
c) We have presented a view that data mining is the result of the evolution of database
technology. Do you think that data mining is also the result of the evolution of machine
learning research? Can you present such views based on the historical progress of this
discipline? Do the same for the fields of statistics and pattern recognition.
d) Describe the steps (1-2 lines each step) involved in data mining when viewed as a process of
knowledge discovery.
2. How is a data warehouse different from a database? How are they similar?
3. Define each of the following data mining functionalities: characterization, discrimination,
association and correlation analysis, classification, regression, clustering, and outlier analysis. Give
examples of each data mining functionality, using a real-life database that you are familiar with.
4. Present an example where data mining is crucial to the success of a business. What data mining
functionalities does this business need (e.g., think of the kinds of patterns that could be mined)?
5. Describe three challenges to data mining regarding data mining methodology and user interaction
issues.
6. What are the major challenges of mining a huge amount of data (such as billions of tuples) in
comparison with mining a small amount of data (such as a few hundred tuple data set)?
7. Briefly describe the following advanced database systems and applications: object-relational
databases, spatial databases, text databases, multimedia databases, the World Wide Web.
8. Outliers are often discarded as noise. However, one person’s garbage could be another’s treasure.
For example, exceptions in credit card transactions can help us detect the fraudulent use of credit
cards. Using fraudulence detection as an example, provide three similar examples where outliers are
important to detect.

 

Data Mining Assessment

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Discuss data mining case

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Discuss data mining case

topic : Discuss data mining case

Summarize and discuss data mining cases and success stories from vendor websites or news articles.

Look for cases or success stories from data mining vendors (see some here: https://www.softwareadvice.com/bi/data-mining-comparison/ (Links to an external site.)Links to an external site.), or from recent news articles highlighting data mining applications. Summarize and discuss a few of these cases/stories. See if you can guess the type of data mining algorithm/task used – e.g., classification, regression, clustering, etc.

Just write from half page to one page.

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Data Mining and Knowledge Discovery

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Data Mining and Knowledge Discovery

topic : Data Mining and Knowledge Discovery

This week our focus is on data mining. In the article this week, we focus on deciding whether the results of two different data mining algorithms provides significantly different information. Therefore, answer the following questions:

When using different data algorithms, why is it fundamentally important to understand why they are being used?
If there are significant differences in the data output, how can this happen and why is it important to note the differences?
Who should determine which algorithm is “right” and the one to keep? Why?

mandatory reading
Read:Tatti, V. (2012). Comparing apples and oranges: measuring differences between exploratory data mining results. Data Mining and Knowledge Discovery, 25(2), 173–207.

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Assignments Proficient is a website where students from across the globe come under one roof to gain purposeful assignments. Globally, the education is still in its young stage where taking help by any means outside the educational institutes is infrequent. So we have separate forums to examine the variety of subject areas. Within each forum, there is ranking allotted to the person who is most efficient to do the assignment in the best possible way. If you are a student in Dubai or travelling here for your education, then we are the pillars of strength, whom you can trust and ladder of support, for any assistance in your assignment.

 

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