EPACK DATABASE SYSTEMS WITH LOOSELEAF
13th Edition
ISBN: 9780357475171
Author: Coronel
Publisher: CENGAGE L
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Chapter 14, Problem 5RQ
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Stream Processing:
Stream processing is a technology that lets users query continuous data stream and detect conditions within small time period after receiving the data.
- The decision is made to know which data should be stored and which should be discarded.
- In some situations, large volumes of data enter the system, but it is not feasible to store all of the data.
- So as soon as the data enters the system, it should be processed and filtered to detect which data to keep and which data to discard.
Needs of Stream Processing:
- The main reason why the stream processing is needed is because it is a technology that is capable of providing insights faster, often within milliseconds to seconds...
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[5 marks] Give a recursive definition for the language anb2n where n = 1, 2, 3, ... over the alphabet Ó={a, b}.
2) [12 marks] Consider the following languages over the alphabet ={a ,b},
(i) The language of all words that begin and end an a
(ii) The language where every a in a word is immediately followed by at least one b.
(a) Express each as a Regular Expression
(b) Draw an FA for each language
(c) For Language (i), draw a TG using at most 3 states
(d) For Language (ii), construct a CFG.
Question 1 Generate a random sample of standard lognormal data (rlnorm()) for sample size n = 100. Construct histogram estimates of density for this sample using Sturges’ Rule, Scott’s Normal Reference Rule, and the FD Rule. Question 2 Construct a frequency polygon density estimate for the sample in Question 1, using bin width determined by Sturges’ Rule.
Generate a random sample of standard lognormal data (rlnorm()) for sample size n = 100. Construct histogram estimates of density for this sample using Sturges’ Rule, Scott’s Normal Reference Rule, and the FD Rule.
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EPACK DATABASE SYSTEMS WITH LOOSELEAF
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