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Ivanshal [37]
3 years ago
14

________ is the application of statistical techniques to find patterns and relationships among data for classification and predi

ction.
Computers and Technology
1 answer:
Finger [1]3 years ago
4 0

Answer:          

Data Mining

Explanation:

  • Data Mining is also called knowledge discovery.
  • It is a computer aided technique of searching and evaluating a bulk of data in order to obtain useful information.
  • This technique searches through the data to find hidden patterns and uses statistical methods to find relationship among data for finding predictive information and for classification of data.
  • This is a mixture of different disciplines which include machine learning, statistics and artificial intelligence and also some mathematical methods.
  • Often the useful information is extracted from enormous database using modeling technique which is used to build a model from instances of the data where the solution is known and later apply this model on the instances where the solution is unknown.
  • In unsupervised data mining, the data analysis is not done by using modeling technique. In other words the labels are provided in order not draw inferences and prediction from data sets. Example is clustering.
  • In supervised data mining the model is developed to make inferences and classification. Example is neural networks.
  • For example data mining is used in Medicine industry to provide more accurate diagnostics and treatments on the basis of patient's medical history , physical examination or different patient tests data.
  • Data mining also makes it possible to manage health resources more efficiently and cost-effectively by detecting risks, predicting diseases in certain sections of the population or predicting hospitalization duration.
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Give an example of a language L such that |L|=5 and |L^2|=16.
Basile [38]

Answer:

He can define pas follows: Let P be defined on the set of languages accepted by some Turing machine M. Let it be True if 10 ] is 5 and False otherwise.  

Explanation:

The domain of P is the SD languages since it is those languages that are accepted by some Turing machine H. P is nontrivial since P({ a, aa, aaa, aaaa, aaaaa, aaaaaa, b, bb, bbb, bbbb, bbbbb, bbbbbb } ) is True and P ( 5 ) is False.  

Thus {< M> is a Turing machine and I L I - 5 and  I L I - 16 }

7 0
3 years ago
Consider the following schema for customer: (id, name, street, city, state, zip, phone), in which customers are uniquely determi
Art [367]

Answer:

Super key is a set of attributes that uniquely identifies all attributes in a relation.Super keys are more than candidate key.

Explanation:

For example in the given schema where

Customer: (id , name , street , city,state,zip,phone)

We have a relation we check super keys by following dependencies

Functional Dependencies                          Super Key

id                                                                     YES

name                                                               YES

id , name -> street , city,state,zip,phone       YES

id , street  ->name , city,state,zip,phone       YES

id,city ->name , street ,state,zip,phone         YES

id,state ->name , street ,city,zip,phone         YES

id,phone  ->name , street ,state,zip,city        YES

id , name , street                                             YES

id , name , street , city                                    YES

id , name , street , city,state                          YES

id , name , street , city,state,zip,phone         YES

All these are uniquely identified

All these are super key but in reverse they are not super key such as

street , city,state,zip,phone->id , name        No

8 0
3 years ago
Over the past three hours the pressure has been steadily increasing at a rate of what
Lyrx [107]

Answer:

We need to find first the location, and then we need to note down the barometric pressure of each hour in tenth place without decimal like 1013.3 mb is equal to 133 and so on. And the rate can be steadily increasing, steady, steadily decreasing, steadily increasing and then falling, steadily falling and then increasing, and so on. To find the rate of increase in barometric pressure, we need to find the rate of change of barometric pressure, and this will be clear if we prepare the chart of the barometric pressure of each hour during the past three hours. The graph plotted will give us a clear indication through its slope.

Explanation:

Please check the answer.

3 0
3 years ago
What is 2D thinking and 3D thinking? i literally don't understand
andriy [413]

Answer:

Two dimensional thinking implies concepts that are flat or only partially representative of the whole. Three dimensional thinking implies the first part of 2d thinking conjoined with intersecting dimensions rendering a deeper field of meaning.

Explanation:

8 0
3 years ago
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