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BCOR 2205 STUDY TEST QUESTIONS AND ANSWERS 100% CORRECT

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  • BCOR 2205
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  • BCOR 2205

BCOR 2205 STUDY TEST QUESTIONS AND ANSWERS 100% CORRECT What are predictive analytics? - Answer-uses techniques that extract information from data and use it to predict future trends and identify behavioral patterns what uses techniques that extract information from data and use it to pr...

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  • January 5, 2025
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  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • BCOR 2205
  • BCOR 2205
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BCOR 2205 STUDY TEST QUESTIONS
AND ANSWERS 100% CORRECT

What are predictive analytics? - Answer-uses techniques that extract information from
data and use it to predict future trends and identify behavioral patterns

what uses techniques that extract information from data and use it to predict future
trends and identify behavioral patterns - Answer-predictive analytics

what are prescriptive analytics? - Answer-use techniques that create models indicating
the best decision to make or course of action to take

what uses use techniques that create models indicating the best decision to make or
course of action to take - Answer-prescriptive analytics

What is data mining? - Answer-the process of analyzing data to extract information not
offered by the raw data alone

what is the process of analyzing data to extract information not offered by the raw data
alone - Answer-data mining

what is data profiling - Answer-the process of collecting statistics and information about
data in an existing source

what is the process of collecting statistics and information about data in an existing
source - Answer-data profiling

what is data replication? - Answer-the process of sharing information to ensure
consistency between multiple data sources

what is the process of sharing information to ensure consistency between multiple data
sources - Answer-data replication

what is a recommendation engine? - Answer-a data-mining algorithm that analyzes a
customer's purchases and actions on a website and then uses the data to recommend
complementary products

, what is a data-mining algorithm that analyzes a customer's purchases and actions on a
website and then uses the data to recommend complementary products - Answer-
recommendation engine

what is estimation analysis? - Answer-determines values for an unknown continuous
variable behavior or estimated future value

what determines values for an unknown continuous variable behavior or estimated
future value - Answer-estimation analysis

what is affinity group analysis? - Answer-reveals the relationship between variables
along with nature and frequency of relationships

what reveals the relationship between variables along with nature and frequency of
relationships - Answer-affinity group analysis

what is cluster analysis - Answer-a technique used to divide an information set into
mutually exclusive groups such that the members of each group are as close together
as possible to one another and the different groups are as far apart as possible

what is a technique used to divide an information set into mutually exclusive groups
such that the members of each group are as close together as possible to one another
and the different groups are as far apart as possible - Answer-cluster analysis

what is classification analysis - Answer-the process of organizing data into categories or
groups for its most effective and efficient use

what is the process of organizing data into categories or groups for its most effective
and efficient use - Answer-classification analysis

which types of analysis are used as analyzing tools? - Answer-estimation, affinity
grouping, cluster, and classification

what data mining analysis models are used for predictions? - Answer-optimization,
forecasting, and regression models

what is an optimization model? - Answer-process that finds ways to design decisions as
effective as possible

what process that finds ways to design decisions as effective as possible - Answer-
optimization model

what is a forecasting model? - Answer-predictions based on time-series information

what are predictions based on time-series information - Answer-forecasting model

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