In this paper we introduce and discuss a concept of syntactic n-grams (sn-grams). Sn-grams differ from traditional n-grams in the manner how we construct them, i.e., what elements are considered neighbors. In case of sngrams, the neighbors are taken by following syntactic relations in syntactic trees, and not by taking words as they appear in a text, i.e., sn-grams are constructed by following ...

In this paper empirical comparison is carried out with various supervised algorithms. We studied the performance criterion of the machine learning tools such as Naïve Bayes, Support vector machines, Radial basis neural networks, Decision trees J48 and simple CART in detecting diseases. We used both binary and multi class data sets namely WBC, WDBC, Pima Indians Diabetes database and Breast tiss...

In this paper, we study the performance criterion of machine learning tools in classifying breast cancer. We compare the data mining tools such as Naïve Bayes, Support vector machines, Radial basis neural networks, Decision trees J48 and simple CART. We used both binary and multi class data sets namely WBC, WDBC and Breast tissue from UCI machine learning depositary. The experiments are conduct...

Data Mining is taking out of hidden patterns from huge database. It is commonly used in a marketing, surveillance, fraud detection and scientific discovery. In data mining, machine learning is mainly focused as research which is automatically learnt to recognize complex patterns and make intelligent decisions based on data. Nowadays traffic accidents are the major causes of death and injuries i...

The internet of things (IoT) technology presents an intelligent way to improve our lives and contributes many fields such as industry, communications, agriculture, etc. Unfortunately, IoT networks are exposed attacks that may destroy the entire network consume resources. This paper aims propose process automation auto-configured detection model (IADM) detect prevent malicious traffic behaviors/...

The rate of injury and death from traffic accidents during the New Year Songkran Festival each year has high are continuously on increase. researchers, therefore, decided to study develop a model for predicting road accident risk holiday season with ensemble learning based decision tree approach. aim is help reduce loss life caused by accidents. dataset used in this research resulting data long...

This work presents a new approach for classification of genomic sequences from measurements of complex networks and information theory. For this, it is considered the nucleotides, dinucleotides and trinucleotides of a genomic sequence. For each of them, the entropy, sum entropy and maximum entropy values are calculated. For each of them is also generated a network, in which the nodes are the nu...

G-Protein Coupled Receptors (GPCR) are the largest family of membrane bound receptor and plays a vital role in various biological processes with their amenability to drug intervention. They are the spotlight for the pharmaceutical industry. Experimental methods are both time consuming and expensive so there is need to develop a computational approach for classification to expedite the drug disc...

Regional development classification is one way to look at differences in levels of development outcomes. Some frequently used methods are the shift share, Gain index, the Iindex Williamson and Klassen typology. The development of science in the field of data mining, offers a new way for regional development data classification. This study discusses how the decision tree is used to classify the ...

In medical field doctors need available information for decision making. Now day’s data mining method is applied in medical research in order to analyze large volume of medical data. This study attempts to use data mining method to analyze the database of diabetes and used for diagnosing for archiving better result. so this paper focus on analysis of diabetes data by various data mining techniq...