Terms

Question 1

What are Common tasks?

Answer 1

Tasks that Data mining algorithms address

Question 2

What are the types of Common tasks?

Answer 2

Classification
Regression
Similarity matching
Clustering
Co-occurrence grouping
Profiling
Link prediction
Data reduction
Causal modelling.

Question 3

What are some techniques for data analytics tasks?

Answer 3

Statistics
Database query
Data warehouse
Machine learning
Data mining

Question 4

What is Big Data?

Answer 4

Most used definition of big data: Volume,
Velocity, Variety

Big data is high-volume, high-velocity and/or high-variety information assets that demand
cost-effective, innovative forms of information processing that enable enhanced insight,
decision making, and process automation.

Question 5

What does Big Data consist of?

Answer 5

Web data
Text data
Time/Location data
Smart grid and sensor data
Social network data

Question 6

How is Big Data different from traditional data?

Answer 6

(1) Big Data can be an entirely new source of data
(2) The speed of data feed has increase to such an extent that it qualifies as a new data source
(3) Increasingly more semi-structured and unstructured data

Question 7

What is the Paradigm shift in terms of analytic focus?

Answer 7

From descriptive to predictive and prescriptive analytics when using Big Data

Question 8

What is the Business value of Big Data?

Answer 8

(1) To draw insight from data
(2) To make better decision based on the insight
(3) To automate the decision and bake it into a business process

Question 9

What are some applications of Big Data across industry sectors?

Answer 9

Segmentation and prediction
Churn prediction
Recommender systems and targeted marketing
Sentiment analysis
Operational analytics

Question 10

What is a Data warehouse?

Answer 10

Data warehouse collect and combine data from across an enterprise, often from multiple processing systems, each with its own database

Question 11

How do you store Big Data

Answer 11

Hadoop framework. Traditional databases and warehouses fall short when dealing with big data.

Question 12

What is Machine learning?

Answer 12

Is computers to learn and act like humans do, and improve their learning over time in autonomous fashion, by feeding them data and information in the form of observations and real-world interactions.

Question 13

What is Data mining?

Answer 13

Data mining is to extracting knowledge from a large amount of data. It spun off from Machine Learning. We often describe data mining as the process of building models.

Question 14

Classification algorithms

Answer 14

Classification is the most frequently used data mining method for real world problems to create models from

Question 15

Cluster analysis

Answer 15

Is a data mining method for grouping items to create models from

Question 16

Association rule (Co-occurrence grouping)

Answer 16

Is a data mining method widely used in retail industry. Association rule mining aims to find interesting relationship between items in large datasets to create models from.

Question 17

Classification matrix

Answer 17

Estimating the true accuracy of classification models. True Positive/Negative rate, Accuracy etc

Question 18

Classification algorithms

Answer 18

A number of algorithms are used for classification modelling, fex KNN

Question 19

KNN

Answer 19

K Nearest Neighbour is a data mining algorithm mainly used for classification task.

Question 20

K Means

Answer 20

The k-means algorithm (where k stands for the predetermined number of clusters) is one of
the most referenced clustering algorithms.

Question 21

Supervised learning (methods)

Answer 21

We have X (data) and we use this in a calculation in order to get Y

Question 22

Unsupervised learning (methods)

Answer 22

We have X (data) but we don’t have any predictions (Y) about what the answer will be. It is up to the algorithm to come up with new data and an answer we can’t predict.

Question 23

Support, Confidence, Lift

Answer 23

Association rules provide information in the form of if-then statements. The S, C and L calculation gives a percentage of the S, C, L of the information