6/1/2020 Originality Report https://ucumberlands.blackboard.com/webapps/mdb-sa-BB5a31b16bb2c48/originalityReport/ultra?attemptId=81c044c4-395e-4a6c-a5a6-511adc5035… 1/3 %53 SafeAssign Originality Report Summer 2020 - Business Intelligence (ITS-531-40)(ITS-531-41) - COM… • Week 4: Assignment Homework 4 %53Total Score: High riskAvinash Kustagi Submission UUID: a477046b-f773-05f5-3f16-5ee6e34a32d9 Total Number of Reports 1 Highest Match 53 % Homework assignment 4.docx Average Match 53 % Submitted on 05/31/20 12:09 AM EDT Average Word Count 596 Highest: Homework assignment 4.docx %53Attachment 1 Institutional database (1) Student paper Top sources (1) Excluded sources (0) View Originality Report - Old Design Word Count: 596 Homework assignment 4.docx 1 1 Student paper https://ucumberlands.blackboard.com/webapps/mdb-sa-BB5a31b16bb2c48/originalityReport?attemptId=81c044c4-395e-4a6c-a5a6-511adc503512&course_id=_118720_1&download=true&includeDeleted=true&print=true&force=true 6/1/2020 Originality Report https://ucumberlands.blackboard.com/webapps/mdb-sa-BB5a31b16bb2c48/originalityReport/ultra?attemptId=81c044c4-395e-4a6c-a5a6-511adc5035… 2/3 Source Matches (6) Running head: Data MINING 1 Data MINING 8 Data Mining Student: Avinash Kustagi University of Cumberlands Course Name: Business Intelligence Course number: ITS-531 Professor: Dr. Abiodun Adeleke 05/29/2020 Data mining can be explained as the method to interpret information and hypothesis from large knowledge and data collections like databases or data warehouses. Data mining popularity is increasing rapidly right now in the world. It is slowly becoming one of the most desired fields of work in the world right now. Data plays a very big role in developing and shaping a business. It is because of Data mining that an organization comes to know more about what the market has demand for and what their customers prefer and what they absolutely dislike. Data mining has proven to be extremely helpful in making valuable and important business decisions. As described in the article” Business data mining — a machine learning perspective”, data mining has become an integral part of business development (Bose & Mahapatra, 2001). Data mining has several applications in different fields of life. It is used in the field of finance, television industry, education, retail industry, and telecommunication industry. Data mining is very valuable in the field of finance. Data mining help in data analysis to find a result in loan prediction. It gives an analysis of the customer’s credit history and fraud detection (Valcheva, n.d.). It also assists in determining the previous money laundering trends and deduces a conclusion about any unusual patterns in a credit history. It also assists in helping develop targeted marketing. In the field of finance, data mining and analysis helps in deducing conclusion results from the previous trend in markets to determine what fiscal produc.

1. 6/1/2020 Originality Report
https://ucumberlands.blackboard.com/webapps/mdb-sa-
BB5a31b16bb2c48/originalityReport/ultra?attemptId=81c044c4-
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%53
SafeAssign Originality Report
Summer 2020 - Business Intelligence (ITS-531-40)(ITS-531-41)
- COM… • Week 4: Assignment Homework 4
%53Total Score: High riskAvinash Kustagi
Submission UUID: a477046b-f773-05f5-3f16-5ee6e34a32d9
Total Number of Reports
1
Highest Match
53 %
Homework assignment 4.docx
Average Match
53 %
Submitted on
05/31/20
12:09 AM EDT
Average Word Count

2. 596
Highest: Homework assignment 4.docx
%53Attachment 1
Institutional database (1)
Student paper
Top sources (1)
Excluded sources (0)
View Originality Report - Old Design
Word Count: 596
Homework assignment 4.docx
1
1 Student paper
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BB5a31b16bb2c48/originalityReport?attemptId=81c044c4-
395e-4a6c-a5a6-
511adc503512&course_id=_118720_1&download=true&include
Deleted=true&print=true&force=true
6/1/2020 Originality Report
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3. Source Matches (6)
Running head: Data MINING 1
Data MINING 8
Data Mining
Student: Avinash Kustagi
University of Cumberlands
Course Name: Business Intelligence
Course number: ITS-531
Professor: Dr. Abiodun Adeleke
05/29/2020
Data mining can be explained as the method to interpret
information and hypothesis from large knowledge and data
collections like databases or data warehouses.
Data mining popularity is increasing rapidly right now in the
world. It is slowly becoming one of the most desired fields of
work in the world right now. Data plays a
very big role in developing and shaping a business. It is because
of Data mining that an organization comes to know more about
what the market has demand for and
what their customers prefer and what they absolutely dislike.
Data mining has proven to be extremely helpful in making
valuable and important business decisions.
As described in the article” Business data mining — a machine
learning perspective”, data mining has become an integral part
of business development (Bose &
Mahapatra, 2001). Data mining has several applications in

4. different fields of life. It is used in the field of finance,
television industry, education, retail industry, and
telecommunication industry. Data mining is very valuable in the
field of finance. Data mining help in data analysis to find a
result in loan prediction. It gives an analysis
of the customer’s credit history and fraud detection (Valcheva,
n.d.). It also assists in determining the previous money
laundering trends and deduces a conclusion
about any unusual patterns in a credit history. It also assists in
helping develop targeted marketing. In the field of finance, data
mining and analysis helps in deducing
conclusion results from the previous trend in markets to
determine what fiscal products the customer will be interested
in coming times. Through this strategy, the
product development team of several financial institutions
decide the new products and the conjoining discounts, offers,
and packages on these products. Data
mining also has a tremendous application in the television and
radio industry. Television shows producers use the process of
data mining to generate predictions
about the general trend in storylines that the audience is
interested in watching. It shows a general pattern of behavior of
the market and customers and helps a
business to make decisions about their market value and how to
approach their businesses (Apte, Liu, Pednault, & Smyth, 2002).
They also use the data mining
procedure to generate advertisements and what ads go with what
shows the best. Television and Radio marketing team develop
customized promotional strategies
for their customers using the help of data mining. Data mining
also helps television and movie studio executives to conclude
results from an extremely large
inventory of content and story writing to fact check certain
stories in their shows and also help them to protect from any
future copyright infringement case they

5. could face. Some executives also use data mining to conclude
results from surveys of how the audience is reacting to certain
risky stories. It’s important in the
entertainment industry to know about what was successful in the
past, what the people like, and how people react to certain
scenarios, and all such is made possible
through the help of data mining.
References
Apte, C., Liu, B., Pednault, E., & Smyth, P. (2002). Business
applications of data mining. Communications of the ACM
Volume 45, Issue 8. Bose, I., &
Mahapatra, R. (2001). Business data mining — a machine
learning perspective. Information & Management Volume 39,
Issue 3, 211-225. Valcheva, S. (n.d.). 7
Data Mining Applications And Examples You Should Know.
Retrieved from Intellspot: http://www.intellspot.com/data-
mining-applications/
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1
Student paper
05/29/2020 Data mining can be
explained as the method to interpret
information and hypothesis from large
knowledge and data collections like
databases or data warehouses. Data
mining popularity is increasing rapidly
right now in the world. It is slowly
becoming one of the most desired fields
of work in the world right now.
Original source
03/29/2020 Data mining can be
explained as the method to interpret
information and hypothesis from large
knowledge and data collections like
databases or data warehouses Data
mining popularity is increasing rapidly

7. right now in the world It is slowly
becoming one of the most desired fields
of work in the world right now
1
Student paper
Data plays a very big role in developing
and shaping a business. It is because of
Data mining that an organization comes
to know more about what the market
has demand for and what their
customers prefer and what they
absolutely dislike. Data mining has
proven to be extremely helpful in making
valuable and important business
decisions. As described in the article”
Business data mining — a machine
learning perspective”, data mining has
become an integral part of business
development (Bose & Mahapatra, 2001).
Original source
Data plays a very big role in developing
and shaping a business It is because of
Data mining that an organization comes
to know more about what the market
has demand for and what their
customers prefer and what they
absolutely dislike Data mining has
proven to be extremely helpful in making
valuable and important business
decisions As described in the article”
Business data mining — a machine

8. learning perspective,” data mining has
become an integral part of business
development (Bose & Mahapatra, 2001)
1
Student paper
It shows a general pattern of behavior of
the market and customers and helps a
business to make decisions about their
market value and how to approach their
businesses (Apte, Liu, Pednault, & Smyth,
2002).
Original source
It shows a general pattern of behavior of
the market and customers and helps
businesses to make decisions about their
market value and how to approach their
businesses (Apte, Liu, Pednault, & Smyth,
2002)
1
Student paper
Apte, C., Liu, B., Pednault, E., & Smyth, P.
Original source
Apte, C., Liu, B., Pednault, E., & Smyth, P
1

9. Student paper
Business applications of data mining.
Communications of the ACM Volume 45,
Issue 8. Bose, I., & Mahapatra, R.
Original source
Business applications of data mining
Communications of the ACM Volume 45,
Issue 8 Bose, I., & Mahapatra, R
1
Student paper
Business data mining — a machine
learning perspective. Information &
Management Volume 39, Issue 3, 211-
225.
Original source
Business data mining — a machine
learning perspective Information &
Management Volume 39, Issue 3, 211-
225