questions:

9/4/2021 Originality Report

https://ucumberlands.blackboard.com/webapps/mdb-sa-BB5a31b16bb2c48/originalityReport/ultra?attemptId=eb767af2-abbb-4f1c-b16d-0961305a481d&course_id=… 1/3

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SafeAssign Originality Report Fall 2021 - Intro to Data Mining (ITS-632-M52) - Full Term • Week 2 Homework

%54Total Score: High riskRavali Gutta Submission UUID: 4c1943a0-65db-8176-8a7b-9cfc481e458f

Total Number of Reports

1 Highest Match

54 % Datamining._.docx

Average Match

54 % Submitted on

09/01/21 02:53 PM CDT

Average Word Count

468 Highest: Datamining._.docx

%54Attachment 1

Institutional database (1)

Student paper

Internet (1)

wikipedia

Top sources (2)

Excluded sources (0)

View Originality Report - Old Design

Word Count: 468 Datamining._.docx

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1 Student paper 2 wikipedia

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Data mining

University of Cumberland’s

Ravali Gutta

09/01/2021

knowledge discovery in databases

Knowledge discovery in databases is a wide term for the process of extracting valuable information from a set of data. This is a method of extracting and finding the most essential information from a set of data. Data storage and access, expanding algorithms to large data volumes, and interpreting findings are all covered by KDD, according to Techopedia 2021. Inferential learning, Bayesian analytics, semantic data optimization, active learning for expert systems, and soft computing are among the numerous methods to discovery currently housed there. The ultimate aim is to derive high-level information from low-level inputs. Multidisciplinary activities

are included in KDD (Tuffery, 2011). Motivating challenges. 2. I selected "Fear of Failure" as a problem from among the ten motivating challenges I read as a result

of my study. One of the most challenging difficulties a business owner might face is being a perfection and fearful of making errors. We must constantly realize that we are not ideal and that being flawless is unattainable; nevertheless, trying to be our greatest is a possibility. Failure is unavoidable in our path. We shall be ca-

pable of learning from our mistakes. Taking risks is an unavoidable aspect of the corporate world. We understand that when we take chances, we will suffer some fail- ures. Instead of being afraid of failing, we should strive to do our utmost, like Thomas Edison as well as other inspirational people did (Hornick, et al 2010). Data

mining 3. Data mining combines with the elements of statistics, AL, ML, and Analytical Thinking in such a manner that it mines huge datasets and finds patterns using the power of access lists, pattern recognition, statistical data, and database methods. All of these are fascinating data-driven professions that aid companies in

making better choices and positively impact company development (Tuffery, 2011). Predictive and descriptive tasks

4. Predictive analytics is the use of statistical and modeling methods to forecast future results based on current and previous data. This is significant since it is

used to forecast a company's future success and is also useful in making choices across a wide range of sectors and specialties. A descriptive job, on the other hand, enables you to show facts, statistics, or information. Its significance is in providing statistical data that assists you in determining the present state of the compa-

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9/4/2021 Originality Report

https://ucumberlands.blackboard.com/webapps/mdb-sa-BB5a31b16bb2c48/originalityReport/ultra?attemptId=eb767af2-abbb-4f1c-b16d-0961305a481d&course_id=… 2/3

Source Matches (11)

Student paper 93%

Student paper 89%

Student paper 71%

Student paper 70%

Student paper 88%

wikipedia 65%

Student paper 72%

ny and is backed up by facts. Both of these responsibilities are critical and beneficial to the company (Hornick, et al 2010).

Reference

Hornick, M. F., Marcadé, E., & Venkayala, S. (2007;2010;). Java data mining: Strategy, standard, and practice: A practical guide for architecture, design, and imple-

mentation. Morgan Kaufmann. Tuffery, S., & Books24x7, I. (2011). Data mining and statistics for decision making (1. Aufl. ed.). Wiley.

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Student paper

knowledge discovery in databases Knowledge discovery in databases is a wide term for the process of extracting valuable information from a set of data. This is a method of ex- tracting and finding the most essential information from a set of data.

Original source

Knowledge discovery in databases Knowledge discovery in databases is a broad term for the process of extracting meaningful information from a set of data This is a method of extracting and finding essential information from a set of data

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Student paper

The ultimate aim is to derive high-level information from low-level inputs.

Original source

The ultimate objective is to derive high-level information from low-level inputs

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Student paper

I selected "Fear of Failure"

Original source

I select "Fear of Failure"

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Student paper

nevertheless, trying to be our greatest is a possibility. Failure is unavoidable in our path. We shall be capable of learning from our mistakes. Taking risks is an unavoidable aspect of the corporate world.

Original source

but, trying to be our utmost is a possibility Failure is unavoidable in our path (Gakii 2020) We shall be able to learn from our mistakes Taking risks is an inevitable component of the corporate world

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Student paper

We understand that when we take chances, we will suffer some failures.

Original source

We understand that when we take chances, we will encounter some failures

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Student paper

Data mining 3.

Original source

"Data Mining"

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Student paper

All of these are fascinating data-driven professions that aid companies in making better choices and positively impact company development (Tuffery, 2011).

Original source

All of these are fascinating data-driven professions that aid firms in making better choices and significantly impact business success

9/4/2021 Originality Report

https://ucumberlands.blackboard.com/webapps/mdb-sa-BB5a31b16bb2c48/originalityReport/ultra?attemptId=eb767af2-abbb-4f1c-b16d-0961305a481d&course_id=… 3/3

Student paper 69%

Student paper 78%

wikipedia 65%

Student paper 63%

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Student paper

Predictive analytics is the use of statistical and modeling methods to forecast future re- sults based on current and previous data. This is significant since it is used to forecast a company's future success and is also useful in making choices across a wide range of sec- tors and specialties.

Original source

Modeling and statistics approaches used to forecast future achievement based on histori- cal and current data is known as predictive analytics This is significant since it is used to forecast a company's future performance and is also helpful in making decisions across a wide range of businesses and specialties (Dutt et al., 2017)

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Student paper

Its significance is in providing statistical data that assists you in determining the present state of the company and is backed up by facts. Both of these responsibilities are critical and beneficial to the company (Hornick, et al 2010).

Original source

Its significance lies in providing statistical data that assists you in determining the present state of the business and is backed up by facts Both of these responsibilities are critical and beneficial to the organization

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Student paper

Java data mining:

Original source

"Data Mining"

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Student paper

Data mining and statistics for decision making (1.

Original source

DATA MINING 1