This paper introduces an algorithm that combines naïve Bayes classification with feature weighting. Most of the related approaches to feature transformation for naïve Bayes suggest various heuristics and non-exhaustive search strategies for selecting a subset of features with which naïve Bayes performs better than with the complete set of features. In contrast, the algorithm introduced in this ...

in this study, an optimization model is proposed to design a global supply chain (gsc) for a medical device manufacturer under disruption in the presence of pre-existing competitors and price inelasticity of demand. therefore, static competition between the distributors’ facilities to more efficiently gain a further share in market of economic cooperation organization trade agreement (ecota) is...

After 2000s, Computer capacities and features are increased access to data made easy. However, the produced recorded should be meaningful. Transformation of unprocessed into meaningful information can done with help mining. In this study, classification methods from mining applications studied. First, parameters that make results same set different were investigated on 4 tools (Weka, Rapid Mine...

We consider a novel, yet practical setting of prediction markets called distributed prediction markets, where the aggregated price of a security of an event in one prediction market is affected dynamically by the prices of securities of similar events in other, simultaneously running prediction markets. We focus on the problem of decision making facing a market maker to determine the price of a...

The stock market is one of the key sectors a country’s economy. It provides investors with an opportunity to invest and gain returns on their investment. Predicting very challenging task has attracted serious interest from researchers many fields such as statistics, artificial intelligence, economics, finance. An accurate prediction reduces investment risk in market. Different approaches have b...

Industrial resolutions that are increasingly developing make many transitions in all fields. The increasing use of fuel for vehicles makes Indonesia's stocks run low. Electric one type vehicle uses electricity. presence electric is expected to be a solution save oil. Another advantage produce low emissions so apart from irritating stocks, air pollution will also reduced. However, the still pro ...

A piano fingering indicates which finger should play each note in a piece. Such a guideline is very helpful for both amateur and experienced players in order to play a piece fluently. In this paper, we propose a variable neighborhood search algorithm to generate piano fingerings for complex polyphonic music, a frequently encountered case that was ignored in previous research. The algorithm take...

The order batching problem is a part of the picking process of items in a warehouse. A set of items conform an order and a set of orders conform a batch. The problem consist of grouping the orders received in the warehouse in different batches. Each batch have to be collected by a single picker without exceed a capacity limit. The objective is to minimize the total time needed to collect all th...

We present the system nFOIL. It tightly integrates the naı̈ve Bayes learning scheme with the inductive logic programming rule-learner FOIL. In contrast to previous combinations, which have employed naı̈ve Bayes only for post-processing the rule sets, nFOIL employs the naı̈ve Bayes criterion to directly guide its search. Experimental evidence shows that nFOIL performs better than both its base line...