The staging in breast cancer is one of the most important prognostic factors. However, the complex coding TNM criteria, which includes clinical and pathological components, the existence of different versions of TNM classification guides over time, and the variability of the source used to obtain data, makes the manual collection of TNM staging in free text be variable and imprecise. The aim of...

Emotions, a complex state of feeling results in physical and psychological changes that influence human behavior. Thus, in order to extract the emotional key phrases from psychological texts, here, we have presented a phrase level emotion identification and classification system. The system takes pre-defined emotional statements of seven basic emotion classes (anger, disgust, fear, guilt, joy, ...

During expressive speech, the voice is enriched to convey not only the intended semantic message but also the speaker’s state of mind and intention. Our goal is to design a tool which can be used in Speech-to-Speech translation system for automatically classifying utterances of Bangla into three modalities namely Statement, Question and Command. Although pitch and intensity features have been c...

As the credit industry has been growing rapidly, credit scoring models have been widely used by the financial industry during this time to improve cash flow and credit collections. However, a large amount of redundant information and features are involved in the credit dataset, which leads to lower accuracy and higher complexity of the credit scoring model. So, effective feature selection metho...

Large computational value has always been a restraint in processing huge network intrusion data. This problem can be extenuated through feature selection to abbreviate the size of the network data involved. In this paper, we first deal existing feature selection methods that are computationally executable for processing vast network intrusion datasets. In this paper, we study and analysis of fo...

Nowadays, transcranial magnetic stimulation (TMS) has been used to treat major depression and migraine. Integrating transcranial magnetic stimulation and electroencephalogram (TMS EEG) may provide beneficial information. This paper introduces the experimental design, experimental setup and experimental procedures to differentiate the repetitive transcranial magnetic stimulation (rTMS) and witho...

It is often difficult for data miners to know which classifier will perform most effectively in any given dataset. Usually an understanding of learning algorithms is combined with detailed domain knowledge of the dataset at hand to lead to the choice of a classifier. We propose an empirical framework that quantitatively assesses the accuracy of a selection of classifiers on different datasets, ...

The role of technology in education industry is increasing day by day specially after reaching the growth rate of the IT industry to the saturation point. That is why, even AICTE has closed the affiliation of engineering colleges in number of states. So, education industry can change their plan to survive in this environment by using data mining techniques to identify the outstanding students a...

<span>Methamphetamine addiction is a prominent problem in Southeast Asia. Drug addicts often discuss illegal activities on popular social networking services. These individuals spread messages media as means of both buying and selling drugs online. This paper proposes model, the “text classification model methamphetamine tweets Asia” (TMTA), to identify whether tweet from Asia related abu...