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Difference between data warehousing and data mining
The difference between data warehousing and data mining is that data warehousing shows to the data storage while data mining is a process of extracting useful knowledge from the data warehouse. Different methods are used for execution of these two concepts.
Binary Resolution: However we saw unit resolution for a propositional inference rule in the previous lecture: (A? B, ¬B) /A Thus we can take this a little further to
Explain the PDCA cycle. PDCA is a four step problem solving method. The following are the description of each step: 1. P - Plan (Devise your Plan). Identify an opportunity a
System Software 1. Explain language processing? Explain its activities in detail. 2. Discuss briefly about Assembler directives. Also explain about Macro definition and call
Define Cloud Computing with example. Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., se
The maximum number of nodes in a binary tree of depth 5 is 31 is the maximum number of nodes in a binary tree
Question: (a) Describe the differences between a URI, a URN and a URL. (b) What are the five basic syntax rules for a well-formed XML document? (c) Provide four uses of
Write a pseudocode for a program that accepts 10 numbers from a user and calculates the sum of all the numbers entered that are greater than or equal to 10.
Lists out some applications of Shift Register. Ans: Applications of Shift Registers: a. Serial to Parallel Converter b. Parallel to Serial Converter c. Delay li
Data Routing Functions The data routing functions are the functions which when implemented the path among the source and the objective. In dynamic interconnection networks the
They are of two types. They are big endian and little endian. Memory is separated into two bank, 1:even bank 2:odd bank.
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