Author Question: Describe data stream mining and how it is used. What will be an ideal ... (Read 79 times)

Beheh · **on:** Jul 7, 2018

Describe data stream mining and how it is used.

What will be an ideal response?

Question 2

All of the following statements about social networks are true EXCEPT

A) it is possible to gain insights into how products go viral.
B) companies should invest equally to retain all members of a group.
C) members of a group are affected by the behavior of others in the group.
D) a group with all interconnected individuals is called a clique.

joneynes · **Reply #1 on:** Jul 7, 2018

Answer to Question 1

Data stream mining, as an enabling technology for stream analytics, is the process of extracting novel patterns and knowledge structures from continuous, rapid data records. A data stream is a continuous flow of ordered sequence of instances that in many applications of data stream mining can be read/processed only once or a small number of times using limited computing and storage capabilities. Examples of data streams include sensor data, computer network traffic, phone conversations, ATM transactions, web searches, and financial data. Data stream mining can be considered a subfield of data mining, machine learning, and knowledge discovery. In many data stream mining applications, the goal is to predict the class or value of new instances in the data stream given some knowledge about the class membership or values of previous instances in the data stream.

Answer to Question 2

B