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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
Use linear activation function and Hebbian learning for a SLFF network to attempt to learn the following two sets of patterns. Why can the patterns be learned, or why can they not
How blocking and non blocking statements get executed? Execution of blocking assignments can be viewed just like a one-step process: 1. Evaluate RHS (right-hand side equatio
Define micro routine and microinstruction. A sequence of control words corresponding to the control sequence of a machine instruction represents the micro routine for that ins
• Moral and Ethical Implications o Will this be safe to have on the road Will the computers on board be able to handle extreme circumstances • Hazardous conditions o Ex
What are the attributes of a field that can be activated or deactivated during runtime? Input, Output, Mandatory, Active, Highlighted, Invisible.
Does it makes sense for two domain name servers to contain exactly the same set of names? Why? Yes. This is very advantageous for two domain servers having similar set of names
Virtual memory can be implemented with ? With Segmentation and Paging Virtual memory can be implemented.
What are wired and wireless transmission systems? Transmission Systems: Modern type long distance transmission systems can be placed in three wide categories: 1. Radio Sy
What are the advantages of Hierarchical Networks? Hierarchical networks are able of handling heavy traffic where needed, and at similar time use minimal number of trunk groups
Why is fragmentation needed on Internet not on a typical WAN? TCP/IP protocol utilizes the name IP datagram to demote to an Internet packet. The amount of data carried into a d
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