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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.
Like a normal read, your input should break on the new line character "\n" and also on the up and down arrow keys. You will process the input made by the user when he/she enters
Q. Explain XNOR gate with three input variable and draw necessary circuits. Q. Simplify FOLLOWING Using K-Map 1. m0 + m1 + m6 + m7 + m12 + m13 + m8 + m9 2. m0 + m2 + m4 +
Array is a pointer-to-pointer-to-int: at the first level, it points to a block of pointers, one for each row. That first-level pointer is the first one we allocate; it has nrows e
IDA* Search - artificial intelligence: A* search is a sophisticated and successful search strategy. In fact, a problem with A* search is that it must keep all states in its me
Differentiate between message switching, packet switching and circuit switching Message switching: Recourse computer sends data to switching office that stores the data in
Q. Explain the Fetch Cycle? The beginning of every instruction cycle is the fetch cycle and causes an instruction tobe fetched from memory. The fetch cycle comprises four
Classic form of OLAP is called as MOLAP and it is often known as OLAP. Simple database structures like time period, product, location, etc are used. Functioning of each and every d
Give a solution for readers-writers problem using conditional critical regions. Solution for readers-writers problem using conditional critical regions: Conditional critical
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