Market Basket Analysis
... • Def: Market Basket Analysis (Association Analysis) is a mathematical modeling technique based upon the theory that if you buy a certain group of items, you are likely to buy another group of items. • It is used to analyze the customer purchasing behavior and helps in increasing the sales and maint ...
... • Def: Market Basket Analysis (Association Analysis) is a mathematical modeling technique based upon the theory that if you buy a certain group of items, you are likely to buy another group of items. • It is used to analyze the customer purchasing behavior and helps in increasing the sales and maint ...
A "No Panacea Theorem" for Multiple Classifier Combination
... every combination algorithm needs to generate a combination function F (x1 , x2 ) based on the training data X1 , X2 , . . . , XM +N . But, as can be seen from equation (2), the performance of the combination algorithm is not only associated with the function F (x1 , x2 ), but also associated with t ...
... every combination algorithm needs to generate a combination function F (x1 , x2 ) based on the training data X1 , X2 , . . . , XM +N . But, as can be seen from equation (2), the performance of the combination algorithm is not only associated with the function F (x1 , x2 ), but also associated with t ...
Near-Optimal Algorithms for Maximum Constraint Satisfaction Problems Moses Charikar Konstantin Makarychev
... to find an assignment to the variables xi so as to maximize the number of satisfied clauses. The reduction works as follows. First, we write each constraint f (xi1 , xi2 , . . . , xik ) as a CNF formula. Then we consider each clause in the CNF formula as a separate constraint; we get an instance of ...
... to find an assignment to the variables xi so as to maximize the number of satisfied clauses. The reduction works as follows. First, we write each constraint f (xi1 , xi2 , . . . , xik ) as a CNF formula. Then we consider each clause in the CNF formula as a separate constraint; we get an instance of ...
Flowcharts
... input data and an appropriate message is to be printed and the emplooye‘s weekly pay is not to be calculated. Weekly pay calculation: Weekly pay is calculated as hours worked times pay rate. If more than 35 hours are worked, payment for the overtime hours worked is calculated at time-and half. ...
... input data and an appropriate message is to be printed and the emplooye‘s weekly pay is not to be calculated. Weekly pay calculation: Weekly pay is calculated as hours worked times pay rate. If more than 35 hours are worked, payment for the overtime hours worked is calculated at time-and half. ...
Substitution method
... log(f(n)) is smaller then 0.5f(n) (f(n) is a monotonous increasing function), for f(n)> 4. Thus, we may choose 0.085 . f(n)=logn=4. Hence we set n0 = 16. T(n) = Θ(nlog23) ...
... log(f(n)) is smaller then 0.5f(n) (f(n) is a monotonous increasing function), for f(n)> 4. Thus, we may choose 0.085 . f(n)=logn=4. Hence we set n0 = 16. T(n) = Θ(nlog23) ...
Lecture No. 10(A) : Method of Conditional Probabilities 1 - CSE-IITM
... monochromatic r-cliques. We are interested in constructing such a 2-coloring. Note that this task is not obvious, no naive approaches like color everything red or color everything blue would not work, as you need to control both red r-cliques and blue r-cliques. But note that if we analyze the color ...
... monochromatic r-cliques. We are interested in constructing such a 2-coloring. Note that this task is not obvious, no naive approaches like color everything red or color everything blue would not work, as you need to control both red r-cliques and blue r-cliques. But note that if we analyze the color ...
Java! - Duke Computer Science
... reasonably A robust program may not do exactly what it is supposed to do, but it should not bring down other unrelated programs down with it ...
... reasonably A robust program may not do exactly what it is supposed to do, but it should not bring down other unrelated programs down with it ...
System Configuration - Millennium Software Solutions
... method, for which histograms are only a subset of the information available to the method. We show that by using only histograms we can still get better deanonymization accuracy than the Markov-based approach that exploits more information from the dataset. DrawBacks:The matching factor as an effect ...
... method, for which histograms are only a subset of the information available to the method. We show that by using only histograms we can still get better deanonymization accuracy than the Markov-based approach that exploits more information from the dataset. DrawBacks:The matching factor as an effect ...
Algorithm
In mathematics and computer science, an algorithm (/ˈælɡərɪðəm/ AL-gə-ri-dhəm) is a self-contained step-by-step set of operations to be performed. Algorithms exist that perform calculation, data processing, and automated reasoning.An algorithm is an effective method that can be expressed within a finite amount of space and time and in a well-defined formal language for calculating a function. Starting from an initial state and initial input (perhaps empty), the instructions describe a computation that, when executed, proceeds through a finite number of well-defined successive states, eventually producing ""output"" and terminating at a final ending state. The transition from one state to the next is not necessarily deterministic; some algorithms, known as randomized algorithms, incorporate random input.The concept of algorithm has existed for centuries, however a partial formalization of what would become the modern algorithm began with attempts to solve the Entscheidungsproblem (the ""decision problem"") posed by David Hilbert in 1928. Subsequent formalizations were framed as attempts to define ""effective calculability"" or ""effective method""; those formalizations included the Gödel–Herbrand–Kleene recursive functions of 1930, 1934 and 1935, Alonzo Church's lambda calculus of 1936, Emil Post's ""Formulation 1"" of 1936, and Alan Turing's Turing machines of 1936–7 and 1939. Giving a formal definition of algorithms, corresponding to the intuitive notion, remains a challenging problem.