In this study, an approach to identify factors affecting on surface roughness in a machining process is presented. This study is based on 81 data about surface roughness over a wide range of cutting tools (conventional, cutting tool with holes, cutting tool with composite material), workpiece materials (AISI 1045 Steel, AA2024 aluminum alloy, A48-class30 gray cast iron), spindle speed (6301000 ...

<span lang="EN-US">Data imbalance is one of the problems in application machine learning and data mining. Often this occurs most essential needed case entities. Two approaches to overcome problem are level approach algorithm approach. This study aims get best model using pap smear dataset that combined levels with an algorithmic solve imbalanced. The laboratory mostly have few imbalance. ...

Recent reports from our laboratory and others support the SELDI ProteinChip technology as a potential clinical diagnostic tool when combined with $n$ -dimensional analyses algorithms. The objective of this study was to determine if the commercially available classification algorithm biomarker patterns software (BPS), which is based on a classification and regression tree (CART), would be effect...

With increasing popularity of web based learning, it is required to design the web layout to reduce cognitive load. Cognitive load theory is widely used to predict the effectiveness of the web based and multimedia learning. The cognitive load induced by instructional and multimedia modes are measured by indirect or subjective methods. Questionnaires are one common form of measuring cognitive lo...

Image mining is one of the predominant researches in computer science field. It is a process of extracting valuable information from a huge amount of dataset. In image mining, there are several techniques are adopted such as image classification, image clustering, regression analysis and association rule mining. In this work, we have concentrated on image classification technique to analyze the...

Decision tree learning is a popular approach for classification and regression in machine learning and statistics, and Bayesian formulations— which introduce a prior distribution over decision trees, and formulate learning as posterior inference given data—have been shown to produce competitive performance. Unlike classic decision tree learning algorithms like ID3, C4.5 and CART, which work in ...

OBJECTIVE The main aim of this study was to identify predictors of sentinel lymph node (SN) metastasis in cutaneous melanoma. PATIENTS AND METHODS This was a retrospective cohort study of 818 patients in 2 tertiary-level hospitals. The primary outcome variable was SN involvement. Independent predictors were identified using multiple logistic regression and a classification and regression tree...