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Data Mining is an analytic method designed to explore data and then to validate the findings by applying the detected patterns to latest subsets of data. The ultimate goal of data mining is prediction. The process of data mining having of three stages:
1. the initial exploration
2. model building
3. deployment
Advantages of Encapsulation You can also delay the resolution of the details until after the design. You can keep your code modular.
Which header file is used for screen handling function:- The header files stdio.h having definitions of constants, macros and types, along with function declarations for stan
Q. Explain about Quine McKluskey Method? A tabular method was proposed to deal with increasing number of variables called Quine McKluskey Method. This method is appropriate for
Find the Nyquist rate for the following signals: (a) x(t) = 5 sin 3000πt cos 4000πt (b) A binary channel with bit rate 36000 bps is available for PCM voice transmission. Fi
Analysis of Sort_Bitonic(X) The bitonic sorting network needs log n number of phases for performing task of sorting the numbers. The first n-1 phases of circuit can sort two n/
The maximum number of nodes in a binary tree of depth 5 is 31 is the maximum number of nodes in a binary tree
What is data mining? Data Mining: It is an analytic process designed to explore data and after that to validate the findings through applying the detected patterns to lat
what is the basic diff between mbr and mdr
What are the main differences between OSI and TCP/ IP reference models? Explain briefly. We will be considering only on the key differences among the two references models. Th
General Considerations for Research -artificial intelligence: If we can specify the initial state, the operators or a consumer and the goal check for a search problem, that al
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