INFORMATICS quz 2

Question 1

Is a process of grouping
distinct data points, dividing into subsets
and making informed decisions based
on findings

Answer 1

Clustering

Question 2

Involves dividing
data set into cluster groups for
evaluation of individual cluster

Answer 2

Partitioning Method

Question 3

Single dataset
cluster grouped into similarities

Answer 3

Hierarchical method

Question 4

ML based data
where group plotted clusters are
analyzed

Answer 4

Density Based Method

Question 5

Efficient method
with cells on grid.

Answer 5

Grind Based method

Question 6

Involves
searching for repeated instance of
attribute/data point. (CRM customer
relationship management) database for
instance of specific product purchase

Answer 6

Single-dimensional method

Question 7

Involves
sourcing <1 points attributes in a data
set.

Answer 7

Multi-dimensional method

Question 8

Statistical association can
help retailers notice parent shoppers
(Looking for childcare supplies) are
more likely to buy specialty food
beverage

Answer 8

Analysis of impromptu shopping
behavior

Question 9

Checks formats of data
points in each dataset

Answer 9

Verifying Data

Question 10

Ensures data
uniformity across dataset. Sorts
numerical values for only numbers and
letters + characters for string values.

Answer 10

Converting Data Types

Question 11

Clears
useless or irrelevant data.

Answer 11

Removing Irrelevant Data

Question 12

Assists in
making mining process more efficient by
reducing errors

Answer 12

Eliminating Duplicate Point

Question 13

Removes mistakes
pertaining to grammar, spellings, typing,
etc, to increases accuracy and quality
of analysis

Answer 13

Removing Errors

Question 14

Provides
estimated value for missing data

Answer 14

Completing Missing Values

Question 15

Shows probability of
particular result with two possible
outcomes

Answer 15

Logistic regression

Question 16

Identifies unknown
object by comparing it to others.

Answer 16

K-nearest neighbors

Question 17

Follow up questions are
asked upon classification

Answer 17

Decision Trees

Question 18

Utilizes historical data to
forecast whether similar events occur
based on different datasets.

Answer 18

Naïve Bayes

Question 19

Turns datasets into
actionable future projections, mainly
concerned with action or behavior

Answer 19

Predictive modelling

Question 20

Generative models
or computers answer questions by
analyzing historical data.

Answer 20

Forecast modelling

Question 21

places data
into groups to answer direct questions

Answer 21

Classification modelling

Question 22

Clusters data into
shared character groups, studies and
gives actionable insights

Answer 22

Cluster modeling

Question 23

Analyzes data
inputs based on time

Answer 23

Time series modeling