exam1

Question 1

KDD

Answer 1

knowledge discovery in databases

Question 2

business intelligence main definition

Answer 2

extract INFORMATION for large amount of data

Question 3

corelation vs causation

Answer 3

just because the curves fit doesnt mean they are related

Question 4

patterns

Answer 4

probabilities associated with a given fact. summarization of the data

Question 5

association rules

Answer 5

identify what goes with what

Question 6

classification

Answer 6

like clustering… separate people into groups. difference is groups PREDICTIVE not known

Question 7

clustering

Answer 7

separate data instances into groups

Question 8

collaborative filtering

Answer 8

netflix reccommender. look for similar users and predict based on that

Question 9

ensemble

Answer 9

use many different models fused together to get the best results

Question 10

reports

Answer 10

summarization or visualization of data

Question 11

KDD process steps

Answer 11

DATA
selection
preprocessing
data mining
interpretation
KNOWLEDGE

Question 12

data preprocessing

Answer 12

cleaning, exploration, data reduction/transformation

Question 13

data cleaning

Answer 13

detect and fix/remove bad data

Question 14

data transformation

Answer 14

convert data format

Question 15

data mining

Answer 15

searching for patterns of interest

Question 16

data mining cycle

Answer 16

data -> information -> action -> VALUE