In this demo, we present the StreamFitter system for real-time regression analysis on continuous data streams. In order to perform regression on data streams, it is necessary to continuously update the regression model parameters while receiving new data. In this demo, we will present two approaches for on-line, multi-dimensional linear regression analysis of stream data, namely Incremental Mat...

This paper describes our exploratory work on supplementing our dataset of images extracted from real estate flyers with images from a large general image repository to enhance the breadth of the samples and create a classification model which would perform well for totally unseen, new instances. We selected some images from the Scene UNderstanding (SUN) database which are annotated with the sce...

artificial neural networks (anns) are computer techniques that attempt to simulate the functionality and decision-making processes of the human brain. in the past few decades, artificial neural networks (anns) have been extensively used in a wide range of engineering applications. there are only a few applications in liquid membrane process. the objective of this research was to develop artific...

support vector regression (svr) solves regression problems based on the concept of support vector machine (svm). in this paper, a new model of svr with probabilistic constraints is proposed that any of output data and bias are considered the random variables with uniform probability functions. using the new proposed method, the optimal hyperplane regression can be obtained by solving a quadrati...

To reduce NO x (nitrogen oxide) emissions from fossil fuel and biomass-fired power plants, online prediction of is important in the plant operation. Data-driven models have been developed to predict various combustion processes with good accuracy. However, such initially built based on known con...

Problem: Are there, for practical uses, any benefits of Artificial Neural Network analyses (ANN) compared with logistic regression analyses? Data: A random sample of 2,294 70-year-old persons from Göteborg, Sweden, was investigated through interviews and medical examinations. Methods: Seven-year mortality was studied by neural network analysis using the SPSS module Clementine 9.0 and by standar...

Churn analysis can be understood as a problem of predicting and understanding abandonment of use of a product or service. Di erent industries ranging from entertainment to financial investment, and cloud providers make use of digital platforms where their users access their product offerings. Usage often leads to behavioural trails being left behind. These trails can then be mined to understand...