The tembang macapat can be classified using its cultural concepts of guru lagu, wilangan, and gatra. People may face difficulties recognizing certain songs based on the established rules. This study aims to build classification models a simple yet powerful Naïve Bayes classifier. Naive generate high-accuracy values from sparse data. modifies concept Guru Lagu by retrieving last vowel each line....

Abstrak - Tingginya kecenderugan masyarakat dalam mengakses berita secara online, membuat editor dan portal harus menyediakan yang berkualitas. Namun pada tersebut masih diklasifikasikan umum, sehingga ketika pembaca ingin mendapatkan kategori lebih spesifik dilakukan manual dengan menyaring berita-berita tersebut. Hal ini juga dialami oleh bidang sosial Badan Pusat Statistik Provinsi Riau kesu...

Due to huge amount of increase in text data, its classification has become an important issue, now days. There are many good classification techniques discussed in this paper. Each classification method has its own assumptions, advantages and limitations. One of the most widely used classifier is Naïve Bayes which performs well with different data sets. Various Smoothing techniques are applied ...

In this paper, we propose a novel feature selection method— INTERACT to select relevant words of emails for spam email filtering, i.e. classifying an email as spam or legitimate. Four traditional feature selection methods in text categorization domain, Information Gain, Gain Ratio, Chi Squared, and ReliefF, are also used for performance comparison. Three classifiers, Support Vector Machine (SVM...

As the number of web logs dramatically grows, readers are turning to them as an important source of information. Automatic techniques that identify the political sentiment of web log posts will help bloggers categorize and filter this exploding information source. In this paper we illustrate the effectiveness of supervised learning for sentiment classification on web log posts. We show that a N...

The challenge to discover knowledge from environmental data that has led to usage of methods and techniques such as data mining tools, can bridge the knowledge gap between the biological experts and organisms. This research aimed to assess relationships between the diatoms and the indicators of the environment with Naïve Bayes method. Diatoms are ideal indicators of certain physical-chemical pa...

The growth of credit card application needs to be balanced with the anticipation of bad credit risk because it does not use security collateral as warranty. The usage of credit scoring can be used to help the credit risk analysis in determining the applicant's eligibility. Data mining has been proven as a valuable tool for credit scoring. The aim of this research is to design a data mining mode...

In this paper we address the problem of offline Arabic handwriting word recognition. Offline recognition of handwritten words is a difficult task due to the high variability and uncertainty of human writing. The majority of the recent systems are constrained by the size of the lexicon to deal with and the number of writers. In this paper, we propose an approach for multi-writers Arabic handwrit...