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OLAP can process difficult queries and give the output in less than 0.1 seconds, for it to achieve like performance OLAP uses aggregations. Aggregations are built by aggregating and changing the data with the dimensions. Possible combination of aggregations can be determined by the combination possibilities of dimension granularities.
Learning Weights in Perceptrons - Artificial neural network In detail we will look at the learning method for weights in multi-layer networks next chapter. The following descri
Q. Explain about DMA and Interrupt Breakpoints? DMA interface transfers complete block of data one word at a time directly to or from memory without going through processor. Wh
What is multiplicity? Multiplicity is applied to attributes for data base application. Multiplicity for an attribute specifies the number of possible value for every instantiat
WHAT IS CPE
Q. Concurrently read concurrently write? It is one of the models derived from PRAM. In this model the processors access the memory locations simultaneously for reading and writ
With the help of a neat diagram, explain the working of a successive approximation A/D converter Ans: Successive Approximation ADC: It is the most broadly used A/D con
advantages and disadvantages of a header node
Conversion of fractional number 0.6875 into its equivalent binary number ? Ans. Multiply the fractional number 0.6875 with 2 until the remainder becomes 0 that is, Ther
Q. What is Input-output processors? let's briefly summarize the development in area of input/output functions. These can be briefed as below: 1. CPU directly controls a peri
Likewise to arrays but is preferred over an array due to of the following reasons. 1. A collection objects uses less Memory than an array. 2. It gives methods to add and dele
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