Data Mining via Mathematical Programming and Machine Learning

ارائه یک مدل بهینه‌سازی ریاضی چند‌هدفه برای طبقه‌بندی

In this paper we investigate the issues of data classification (as one of the branches of data mining science) in form of multi-objective mathematical programming model. The model that we present and investigate is a MODM problem. First time, based on support vector machine (SVM) idea (To maximize the margin of two groups), a multi-criteria mathematical programming model was proposed for data m...

Mathematical Programming Approaches To Machine Learning And Data Mining

Enhancing Learning from Imbalanced Classes via Data Preprocessing: A Data-Driven Application in Metabolomics Data Mining

This paper presents a data mining application in metabolomics. It aims at building an enhanced machine learning classifier that can be used for diagnosing cachexia syndrome and identifying its involved biomarkers. To achieve this goal, a data-driven analysis is carried out using a public dataset consisting of 1H-NMR metabolite profile. This dataset suffers from the problem of imbalanced classes...

Machine Learning and Data Mining Via Mathematical Programing Based Support Vector Machines

i Acknowledgements iii

Distributed Linear Programming for Weblog Data using Mining Techniques in Distributed Environment

Distributed learning discusses different strategies in which learners can communicate with each other. The different strategies are data analysis, predicting future learner in an efficient way to access the learning methods. In this paper the distributed learning has proposed an optimized solution for the fore coming learners. The idea of distributed learning is to analyse the weblog data trave...