Data mining and data mining techniques
Explain the term Data mining. Specify different data mining techniques. Also state the aim of Data mining Technique?
Expert
It is defined as the process of extracting or “mining” knowledge from the huge amount of data. Data mining is also defined as the process of unveiling the interesting knowledge from huge amounts of data stored either, in the data warehouse, database, or in other information repositories.
Data mining techniques are listed as follows:
a) Statistics b) Machine learning c) Decision Tree d) Hidden markov models e) Artificial Intelligence f) Genetic Algorithm g) Meta learning
It offers the way to utilize different data mining tasks.
Illustrates the term I2C and the bits in it corresponding to?
What are the elements of embedded system?
Explain the sophisticated interfacing features in device ports.
Illustrates the Application Specific System processors used in the embedded system? Answer: An application specific system processor is utilized as an additional pro
What are merits and demerits of I2C (bus interface/bus protocol)?
Explain the difference between analog and digital filters.
4. When the bit rate of a message signal from the message sequence generator and the bit rate of a PN code from the multiple sequence generators are compared, which is higher? How did you compare them? Could you determine by how much the bit rate of one is higher?
Describe the parallel port devices.
State the principle which is used in the multiplexers?
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