fuzzy rule-based classification system (frbcs) is a popular machine learning technique for classification purposes. one of the major issues when applying it on imbalanced data sets is its biased to the majority class, such that, it performs poorly in respect to the minority class. however many cases the minority classes are more important than the majority ones. in this paper, we have extended ...

geological facies interpretation is essential for reservoir studying. the method of classification and identification seismic traces is a powerful approach for geological facies classification and distinction. use of neural networks as classifiers is increasing in different sciences like seismic. they are computer efficient and ideal for patterns identification. they can simply learn new algori...

the rapid growing of information technology (it) motivates and makes competitive advantages in health care industry. nowadays, many hospitals try to build a successful customer relationship management (crm) to recognize target and potential patients, increase patient loyalty and satisfaction and finally maximize their profitability. many hospitals have large data warehouses containing customer ...

over the past years, lake water levels have decreased considerably by various factors and the subsequent emergence of salt plain has brought disastrous consequences that need an essential action. therefore, this study aimed to investigate the effects of drying up and increasing lake water salt and landsat satellite images were used during different time periods in 9 years. to identify the new a...

text classification is an important research field in information retrieval and text mining. the main task in text classification is to assign text documents in predefined categories based on documents’ contents and labeled-training samples. since word detection is a difficult and time consuming task in persian language, bayesian text classifier is an appropriate approach to deal with different...

A heterogeneous information network is a network composed of multiple types of objects and links. Recently, it has been recognized that heterogeneous information networks are prevalent in the real world. Sometimes, label information is available for part of the objects. Learning from such labeled and unlabeled data can lead to good knowledge extraction of the hidden network structure. However, ...