2.2 Computational Methods

Question 1

applications of data mining

Answer 1

marketing campains improving reaction
cyber security issues
big data
huge amountd of data are processed
look through vast amounts of data

Question 1

what is data mining

Answer 1

data mining involves searching through unconnected data to find a correlation

Question 2

when is backtracking used

Answer 2

problems which take a series of decisions
and if there is not enough information to know which decision is best

Question 3

what is backtracking best suited for

Answer 3

searching trees
solving sudokus and crosswords

Question 4

what traversal method uses backtracking

Answer 4

depth first traversal

Question 5

describe depth first traversal

Answer 5

take one route as far as possible pushing every node onto the stack and once reaching a leaf node popping it off the stack and checking the node
then back tracks up popping nodes off until it reaches a node with an unchecked child node and the process is repeated

Question 6

pros of data mining

Answer 6

can improve marketing
can increase sales

Question 7

cons of data mining

Answer 7

need a very powerful computer
privacy concerns as the big data searched through must follow the GDPR (2018)
innacurate data can produce false reports

Question 8

define a heuristic approach

Answer 8

an approach that uses a rule of thumb to find a good enough solution

Question 9

define performance modelling

Answer 9

simulating different user and system loads
computer uses mathematical approximation
can be done on cars so no need to destroy a real one

simulates the behaviour of the system before it is used
testing

Question 10

what are the pros of performance modelling

Answer 10

saves money overall
safer
saves time in the long run

Question 11

what is pipelining (computational methods)

Answer 11

process that allows for multiple projects to be delivered
modules are divided up into individual tasks
tasks can be developed in parallel
output of one module becomes the input to the next one
(decomposition into functions and subroutines with each subroutine leading into the next like the network stack)

Question 12

define visualisation

Answer 12

problems can be easier to solve with visual representation
large datasets can be confusing
i.e a 2d array being visualised as a table

Question 13

pros of visualisartion

Answer 13

benefits humans
presents information in a simple to understand way
best way to explain complex situations