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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.
Difficulties - canonical genetic algorithm: Therefore the first big problem we face whether designing an "AI" agent to perform a GA-style search is how to represent the soluti
Problem: (a) Cellular systems are based on two types of multiplexing, what are those two types of multiplexing? Describe how they are used to improve channel allocation in cel
Q. Convert the following BINARY numbers into HEXADECIMAL, double check by converting the result HEXADECIMAL to BINARY. a) 1101.0110 b) 1011.11010 c) 11110.01011
How does electronic brokerage facilitate search and retrieval of information? E Brokerage facilitates search and retrieval of Information: The success aspect of a brokera
Determine in detail about the VHDL Multiple design-units (entity/architecture pairs), which reside in the same system file, may be separately compiled if so desired. Though, it
Expain the working of associative memory
Q. Describe the Limitation of FAT16? DOS designers decided to use clusters with as a minimum four sectors in them (so a cluster size of at least 2KB) for all FAT16 hard disks.
Disadvantages of pipeline: Pipeline architecture has 2 major disadvantages. First is its complexity and second is the inability to constantly run the pipeline at full speed,
i) The width of the sorting + merging circuit is equivalent to maximum number of devices needed in a phase is O(n/2). As in the above diagram maximum number of devices for a given
The goal of hashing is to produce a search that takes O(1) time
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