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Q 1/21
Score 0
One Theoretical foundation of data mining which is the idea of reducing the data representation which swaps accuracy over speed in obtaining quick approximate answers.
30
Data Compression
Data Reduction
Data Mining
Regression
Q 2/21
Score 0
Theoretical foundation of data mining which encode data in terms of bits, clusters, or decision tree to compress it.
30
Regression
Data Mining
Data Reduction
Data Compression
21 questions
Q.
One Theoretical foundation of data mining which is the idea of reducing the data representation which swaps accuracy over speed in obtaining quick approximate answers.
1
30 sec
Q.
Theoretical foundation of data mining which encode data in terms of bits, clusters, or decision tree to compress it.
2
30 sec
Q.
A Regression, Log-linear models, histogram are some techniques of (Data Compression) which is also a foundation of data mining.
3
30 sec
Q.
Foundation of data mining theorectically which discovers specific arrangement or patterns arising in the database.
4
30 sec
Q.
The basic idea of (Probability Theory), is to discover joint probability distribution of random variables.
5
30 sec
Q.
As stated in the theoretical foundation of data mining (Probability Theory), data mining is the task of performing induciton on databases as it consists of data and patterns.
6
30 sec
Q.
A statistical data mining which includes logistic regression and poisson regression is the (Analysis of Variance).
7
30 sec
Q.
Statistical data mining which is used to predict the value of the response variable from one or more predictor variables where variables are numeric.
8
30 sec
Q.
A (factor analysis) is a statistical data mining which assumes that independent variables follow a multivariate normal distribution.
9
30 sec
Q.
(Video data mining) can view data in databases or data warehouses in the form of boxplots, cuves, data distributions charts, 3-D cubes.
10
30 sec
Q.
(Data mining process visualization) is the presentation of the results of data mining in visual form which can be scattered plots, boxplots, etc.
11
30 sec
Q.
(Record data mining) uses audio signals to indicate the patterns of data or the features of data mining results.
12
30 sec
Q.
(Machine learning) is a subset of Artificial Intelligence that focuses on getting machines to make decision by feeding them data.
13
30 sec
Q.
(Artificial Intelligence) is derived from the word "force labor" which is commonly powered by electricity. It performs task based on its programming.
14
30 sec
Q.
Artificial Intelligence was coined decades ago in the year 1956 by (John McCarty) at the Dartmouth conference
15
30 sec
Q.
A series of algorithm which forms a network like brain neutrons is a (data mining).
16
30 sec
Q.
A weak artificial intelligence is known also as (artificial narrow intelligence).
17
30 sec
Q.
A (Robot) is a machine made of metal which has programming and perfoms its task based on it.
18
30 sec
Q.
An (regression) is a machine learning algorithm use in supervise learning which categorizes data based on its class.
19
30 sec
Q.
A machine learning which is based or fed by labels of data inputted by the developer/user withouth learning with its own is (supervise learning).
20
30 sec
Q.
The combination of reinforcement learning and deep learning which uses series of algorithm and can learn on its own based on the series of decision it creates.
