Association ruleDynamic probabilistic numerical datasetEstimated-frequent uncertain-itemsetsData miningUncertain dataIn recent years, many new applications, such as location-based services, sensor monitoring systems, and data integration, have shown a growing amount of importance of uncertain data mining. In...
the function value is less than or equal to 1; moreover, the function is a monotone decreasing function, namely, if a rule is out-of-date (the rule does not appear in the latest 30% of transactions but only appear in the other 70% of transactions), then the function value of this ...
Hence, association rule mining is particularly suitable for non-numeric, categorical data. For numerical data, a split value or cutoff value is required, i.e., data sets where the variable is below or above the cutoff value are discriminated by a rule. There are basically two goals in ...
Today’s world is overwhelmed with data right from shopping in the supermarket to security cameras at our homes. Data mining uses this raw data and converts it to information to make predictions. WEKA with the help of the Apriori Algorithm helps in mining association rules in the dataset. A...
In CSMC, rules are regarded as classification experts, after the calculation of the basic probability assignments (bpa) and evidence weights, Yang's rule of combination is employed to combine the distinct evidence bodies to realize an aggregate classification. A numerical example is shown to high...
www.nature.com/scientificreports OPEN An Algorithm of Association Rule Mining for Microbial Energy Prospection received: 24 November 2016 accepted: 10 March 2017 Published: 10 April 2017 Muhammad Shaheen1,* & Muhammad Shahbaz2,* The presence of hydrocarbons beneath earth's surface produces some...
A classic problem in data mining is to find association rules between items in a large dataset of transactions, where a transaction is a subset of related items. For example, the items of a transaction might have been purchased at the same time. An association rule predicts the likelihood of...
Numerical simulations are performed to show the various effects of the algorithms. Recommendations of appropriate usage of the proposed algorithms based on the characteristics of databases are reported. 展开 关键词: Privacy preserving data mining Collaborative recommendation Association rule ...
Association rule mining is one of the areas that anticipated a massive development, beginning with its introduction in [6, 7]. Association rules are automatically found patterns in large databases, where, say, each human patient has a number of attributes or parameter values, and the association...
Roadway departure crashes Rural two-lane highways Crash contributing factor Association rule mining Logit model 1. Introduction A roadway departure (RwD) crash is a non-intersection crash, which occurs after a vehicle crosses an edge line or a centerline, or otherwise leaves the traveled roadway (...