COT3103 10/21/2014 Exercises Section 2.5 2. Determine whether each of these sets is finite‚ countably infinite‚ or uncountable. For those that are countably infinite‚ exhibit a one-to-one correspondence between the set of positive integers and that set. a. The integers greater than 10. This is countably infinite. Starting from the first integer greater than 10‚ which is 11‚ one can infinitely count upwards since there is no boundary on the right side of the number line for this instance. The equation
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frequent itemsets for boolean association rules. Key Concepts : • Frequent Itemsets: The sets of item which has minimum support (denoted by Li for ith-Itemset). • Apriori Property: Any subset of frequent itemset must be frequent. • Join Operation: To find Lk ‚ a set of candidate k-itemsets is generated by joining Lk-1 with itself. The Apriori Algorithm in a Nutshell • Find the frequent itemsets: the sets of items that have minimum support – A subset of a frequent itemset must also be a frequent
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architecture uses basic design elements to help illustrate the basic concepts of processing input and output. The basic architecture is comprised of a little man in a small room that performs basic tasks. The little man executes basic tasks by following a set of instructions. The main components of the LMC are mailboxes‚ calculator‚ inbox‚ and outbox. Like in a real computer‚ the memory in the LMC consists of mailboxes which are slots to hold stored information. The calculator is like the Arithmetic Logic
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data. Classical logic holds that everything can be expressed in binary terms: 0 or 1‚ black or white‚ yes or no; in terms of Boolean algebra‚ everything is in one set or another but not in both. Fuzzy logic allows for partial membership in a set‚ values between 0 and 1‚ shades of gray‚ and maybe-it introduces the concept of the "fuzzy set." When the approximate reasoning of fuzzy logic is used with an expert system‚ logical inferences can be drawn from imprecise relationships. Fuzzy logic theory was
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supplied is documented clearly and is relevant to the set task There is evidence of individual research beyond y the group g p activity y and any teacher led activity. y The practical investigations show p g signs g of planning p g but there may y be omissions made in assessing the consequences. There may be little or no evidence of any practical investigation. The evidence supplied is minimal and poorly documented with little relevance to the set task. The practical evidence may all be the result
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family life has been affected by the television set. Her central argument is that the American family has been destroyed by the television‚ and that family unity has been diminished overtime by this cultural addiction. Winn uses many different sources to back up her claims‚ and some are extremely effective‚ while others do not sufficiently provide evidence to support her argument. The argument that family unity has been shattered by the television set is backed up by many sources in this essay‚ although
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You have been assigned to one of these sets of data. On your SAP System User ID sheet‚ you have been given the system and client your account is on. You have also been given a Data Set Number‚ which tells you which set of data you should be using within your client. IT IS CRITICAL THAT YOU USE ONLY YOUR DATA SET. FAILURE TO DO SO WILL CAUSE YOU PROBLEMS AS WELL AS OTHERS IN YOUR CLASS. All of the data in the Fitter Snacker database begins with a Data Set Number. For example‚ the NRG-A bars
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For those who are unaware‚ at least 1 and 2 are thanks to Georg Cantor and his invention of set theory. He had to endure a lot of resistance from the mathematical luminaries of his day - Kronecker and apparently‚ even Poincaré! Like Nietzsche‚ he died in a mental institution‚ the vicious attacks on his ideas (mostly by Kronecker) having supposedly played a part in Cantor’s breakdown. His mathematical ideas also ran afoul of some religious "philosophers" who‚ as is usually the case‚ are never ever
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zero‚ thus the content of it is set to zero. Figure 2 shows general register with an extra bit called Not a Thing (NaT) Figure 2: [pic] Figure 2: General register with an extra bit called Not a Thing (NaT). 2. Floating Point Register: 128 82-bit floating point registers represented by FR0 through FR127‚ where FR0 and FR1 are set to zero and 1 respectively. 3. Qualify Predicate Register: 64 1-bit predicate register represented by P0‚ P1‚ P2‚ P3… P63‚ where P0 is set to zero. When the value of Pi is
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Fuzzy/probability/crisp Give me three examples of each… 2 Fuzzy Logic & Fuzzy Sets 0 0 0 1 1 1 0 0 0.2 0.4 0.6 0.8 1 1 (a) Boolean Logic. (b) Multi-valued Logic. (x) X Fuzzy S ubset A 1 0 Crisp S ubset A Fuzziness Fuzziness x Fuzzy sets example See FuzzySets.xls A small FuzzySet program - FuzzyExample A Fuzzy assertion It is quite cold today Fuzzy variable – temperature Fuzzy set – cold temperatures More examples about height‚ sportiness‚
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