In this paper a diagnostic model based on Naive Bayes developed to diagnose erytemato squamous diseases. The hybrid feature selection method, named IGSBFS (Information Gain and Sequential Backward Floating Search), combines the advantages of filters and wrappers to select the optimal feature subset from the original feature set. In IGSBFS, Information Gain acts as filters to remove redundant fe...

The electrocardiogram (ECG) signal has great importance in diagnosing cardiac arrhythmias. In this paper we have compared three classifiers on the basis of their accuracies for the detection of arrhythmia. The algorithms that are used for classification are supervised machine learning algorithm. The performance of the classifier depends upon its accuracy rate. The classifiers used are Nearest N...

Designed for multi-relational explore and learn about important device data classification, and can be widely used in many fields. New classification algorithm Union, naive Bayes, which is the main function of what is known in the literature for the application of multiple classification Union relational environment. The results showed that naive Bayes achieves greater accuracy compared to exis...

Cancer is one of the most commonly affected diseases in the developed countries. Early diagnosis plays a significant role in curing cancer patients. Every year, thousands of people die due to Lung cancer. In this paper, a novel Candidate group search algorithm based on evolutionary approach is proposed. This optimization algorithm allows assistant doctors to identify the nodules present in the ...

One of the essential aims intelligent algorithms concerning diagnosis heart disease is to achieve accurate results and discover valuable patterns. This paper proposes a new hybrid model based on Binary Farmland Fertility Algorithm (BFFA) Naïve Bayes (NB) diagnose disease. The BFFA used for Feature Selection (FS) NB data classification. FS can be employed most beneficial features. Four valid uni...

Shopee is one of the largest e-commerce platforms currently being used by Millennials. The use itself makes it very easy for consumers to process transactions. committed maintaining and improving customer satisfaction so they don't switch other competitors. However, undeniable that there are still many cases can harm when using platform. With occur, possible will be a big influence on level con...

1* Min Zhao is currently researcher at NEC Lab China, Beijing. Abstract. This paper proposes a new approach to ranking the documents retrieved by a search engine using click-through data. The goal is to make the final ranked list of documents accurately represent users’ preferences reflected in the click-through data. Our approach combines the ranking result of a traditional IR algorithm (BM25)...