M5

Question 1

Online Analytical Processing (OLAP) with data warehouses tells us what is happening and how while data mining tells us what is likely to ___

Answer 1

happen

Question 2

Data mining is ___ Discovery in (commercial) Databases

Answer 2

Knowledge

Question 3

Data mining is a ____ rather than a product

Answer 3

process

Question 4

This is the fastest growing segment of business intelligence market

Answer 4

Data Mining

Question 5

This is how the data mining in biology and medicine called

Answer 5

Bioinformatics

Question 6

What are the two broad groups of data mining

Answer 6

DIrected and Uniderected data mining

Question 7

In this type of data mining, we know what we are looking for and we aim to find the value of a pre-identified target variable in terms of a collection of input variables, eg, classifying insurance claims

Answer 7

Directed Data Mining

Question 8

In this type of data mining, it finds patterns in data and leaves it to the user to find the significance of these patterns

Answer 8

Undirected Data Mining

Question 9

Classification, Estimation, and ___ are under Directed Data Mining

Answer 9

Prediction

Question 10

Affinity grouping & Assoc rules, ___, and Description & Visualization
are under undirected data mining

Answer 10

Clustering

Question 11

This type of data mining approach are particularly suitable for solving classification problems

Answer 11

Decision Trees

Question 12

Each leaf node in a decision tree is labelled with a ___ label

Answer 12

class

Question 13

In decision tree, rhe class label decided by the class of the records that ended up in that __ during training

Answer 13

leaf

Question 14

In decision tree, each edge originating from an internal node is labelled with a ___ predicate involving that node’s splitting attribute

Answer 14

splitting

Question 15

In decision tree, the ___ forces any record to take a unique path from the root to exactly one leaf node

Answer 15

splitting predicate

Question 16

To prevent overfitting in decision trees, test data set are used to ___ decision trees once it has been built using the training data set.

Answer 16

prune

Question 17

In decision trees, this is to an iterative process of splitting the training data into partitions (regions of record space)

Answer 17

recursive partitiioning

Question 18

The most important task in building a decision tree is to decide which of the ___ gives the best split

Answer 18

attributes

Question 19

In decision trees, a node becomes a ___ node when no split can be found that significantly decreases the diversity

Answer 19

leaf

Question 20

In decision trees, pruning is done by removing leaves and branches (edges leading to leaves) that fail to ___

Answer 20

generalize

Question 21

This aims to discover structure in a complex data set as a whole in order to carve it up into simpler groups

Answer 21

Automatic Cluster Detection

Question 22

Type of clustering that is available in a wide variety of commercial data mining tools. It divides the data set into a predetermined number, k, of clusters

Answer 22

K-Means Clustering

Question 23

In K-Means Clustering, in the first step, k data points are selected to be the seeds. Each seed is an ___ cluster with only one element

Answer 23

embryonic

Question 24

The ___ of a cluster of records calculated by taking average of each field for all the records in that cluster

Answer 24

centroid

Question 25

___ distance most commonly used for measuring distance by data mining software.

Answer 25

Euclidean

Question 26

In the k-means method, the original choice of the value of k determines the number of ___ that will be found

Answer 26

clusters

Question 27

___ claimed to be often more effective than k-means for complex shaped clusters

Answer 27

SOMs

Question 28

Four ways of utilizing data mining expertise in business: 1. By purchasing readymade ___ from outside vendors. 2. By purchasing software that embodies data mining expertise designed for a particular application 3. By hiring outside consultants to perform data mining for special projects 4. By developing own data mining skills within the business organization

Answer 28

scores

Question 29

___ automate the process of creating candidate models and selecting the ones that perform best

Answer 29

Model building software

Question 30

Outside expertise for data mining is likely to be available in three possible places: 1. From a data mining software vendor 2. Data mining centers 3. ___ companies

Answer 30

Consulting