Ambulatory blood pressure monitoring (ABPM) gradually gained weight from the early 1960s. ABPM, alias 24-hour trial, is one routine medical test for diagnosing and prophylactics of circulation upsets, particularly hypertension, even disguised [1]. Many databases exist concerning sometimes quite detailed ponderous enough, like [2]. Medical can comprise dozens hundreds various attributes, thousan...

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...

This paper argues for the immediate use of Kansei engineering to help deal with the chaotic situation of poorly implemented and disconnected technologies. A theoretical criticism of the current industrial capitalism, together with the promotion of a new post-industrial form of capitalism lays the foundation for a explanation of how this transition can be achieved through a proper understanding ...

In data mining classification is to accurately predict the target class for each case in the data. Decision tree algorithm is one of the commonly used classification algorithm to make induction learning based on examples. In this paper we present the comparison of different classification techniques using WEKA. The aim of this paper is to investigate the performance of different classification ...

Data mining is an emerging field to find interesting patterns from a large collection of data sets. Classifcation algorithms like neural network, decision trees are used to classify the patterns according to class labels in the input patterns. Association rule mining is used for finding related or more frequent patterns found in a gived data set. This paper integrates both these techniques, nam...

This paper discusses data mining techniques to process a dataset and identify the relevance of classification test data. Mining tools to solve large amounts of problems such as classification, clustering, association rule, neural networks, it is a open access tools directly communicates with each tool or called from java code to implement using this. In this paper we present machine learning da...

Product development becomes more and more complex. Products obtain more and more functions and at the same time they must be still attractive for the customers to ensure a successful product launch. To predict their acceptance and to gain knowledge on how to design attractive products new methods are developed in the field of the emotional design. Such a method is the Kansei Engineering, which ...

The aesthetic and pleasing properties of a product are important and add significantly to themeaning and relevance of a product. Customer sensation andperception are largely about psychological factors. There has been a strong industrial and academic need and interest formethods and tools to quantify and link product properties to thehuman response but a lack of studies of the impact of surface...