Data mining has been widely adopted in recent years in many fields, especially in the medical field. This paper highlights the prediction of unknown primary tumors in the dataset. The multiclass classifier with Random forest is used for classification of multiclass dataset as it gives much higher accuracy than binary classifiers. SMOTE method for this imbalanced dataset with Randomize technique...

Model trees are decision trees with linear regression functions at the leaves. Although originally proposed for regression, they have also been applied successfully in classification problems. This paper studies their performance for imbalanced problems. These trees give better results that standard decision trees (J48, based on C4.5) and decision trees specific for imbalanced data (CCPDT: Clas...

Machine learning approach has got major importance when distribution of data is unknown. Classification of data from the data set causes some problem when distribution of data is unknown. Characterization of raw data relates to whether the data can take on only discrete values or whether the data is continuous. In real world application data drawn from non-stationary distribution, causes the pr...

Finger vein recognition is a promising biometric recognition technology, which verifies identities via the vein patterns in the fingers. In this paper, (2D)² PCA is applied to extract features of finger veins, based on which a new recognition method is proposed in conjunction with metric learning. It learns a KNN classifier for each individual, which is different from the traditional methods wh...

Several studies related to emotion recognition based on Electroencephalogram signals have been carried out in feature extraction, representation, and classification. However, is strongly influenced by the distribution or balance of data. On other hand, limited data obtained significantly affects imbalance condition resulting signal It has an impact low accuracy recognition. Therefore, these pro...

The COVID-19 virus has made a huge impact on people’s lives ever since the outbreak happened in December 2019. Unfortunately, not completely vanished from world yet, and thus, global agitation is still increasing with mutations variants of same. Early diagnosis best way to decline mortality risk associated it. This urges necessity developing new computational approaches that can analyze large d...

Twitter is one of the most popular social media used to interact online. Through Twitter, a person's personality can be determined based on that thoughts, feelings, and behavior patterns. A person has five main personalities likes Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism. This study will make predictions using Naïve Bayes method – Support Vector Machine, Synthetic M...

For the design and planning of gas-fired boiler system, load is an important basic data. Load clustering analysis, combined with application data mining technology gas excavates hidden patterns in a large number disordered irregular loads, classifies them, so as to solve many problems system. The current methods have more or less problems. invention first carries out PVA dimension reduction pro...