Towards the Personalization of Algorithms Evaluation in Data Mining
نویسندگان
چکیده
Like model selection in statistics, the choice of appropriate Data Mining Algorithms (DM-Algorithms) is a very important task in the process of Knowledge Discovery. Due to this fact it is necessary to have sophisticated metrics that can be used as comparators to evaluate alternative DMalgorithms. It has been shown in literature, that Data Envelopment Analysis (DEA) is an appropriate platform to develop multi-criteria evaluation metrics that can consider in contrary to mono-criteria metrics all positive and negative properties of DM-algorithms. We discuss different extensions of DEA that enable consideration of qualitative properties of DM-algorithms and consideration of users preferences in development of evaluation metrics. The results open new discussions in the general debate on model selection in statistics and machine learning.
منابع مشابه
Evaluation of Data Mining Algorithms for Detection of Liver Disease
Background and Aim: The liver, as one of the largest internal organs in the body, is responsible for many vital functions including purifying and purifying blood, regulating the body's hormones, preserving glucose, and the body. Therefore, disruptions in the functioning of these problems will sometimes be irreparable. Early prediction of these diseases will help their early and effective treatm...
متن کاملEvaluation and Prediction of the Impact of Parasite Waves and Cell Phone Use by Pregnant Mothers on the Volume of Amniotic Fluid based on Data Mining Algorithms
Introduction: Nowadays, the effects of radiation and constant use of cell phones have led to some problems. These radiations cause disorders in different systems of human body and even in a growing fetus. The aim of this study was to find the effect of using cell phone and internet by pregnant women on the amount of amniotic fluid. Method: First, a questionnaire was designed and evaluated by o...
متن کاملModelling Climatic Parameters Affecting the Annual Yield of Rheum Ribes Rangeland Species using Data Mining Algorithms
Identification of climatic characteristics affecting the annual yield of Rheum Ribes can be useful in management and development of this species in the rangelands. In this research, the annual yield of this species in Khorasan-Razavi province based on 74 climatic parameters during a ten-year period evaluated and affecting climatic parameters extracted using data mining methods. First, the role ...
متن کاملData Mining for Web Personalization
In this chapter we present an overview of Web personalization process viewed as an application of data mining requiring support for all the phases of a typical data mining cycle. These phases include data collection and preprocessing, pattern discovery and evaluation, and finally applying the discovered knowledge in real-time to mediate between the user and the Web. This view of the personaliza...
متن کاملDesigning a System for Trend Analysis of Users in Website Surfing in Iran Using Data Mining and Text Mining Algorithms
Background and Aim: As of the entrance of web surfing to the lifestyle of a vast majority of people in the society and the need for a more accurate social and cultural policy making in the field, authors intended to analyze the behavior of the society users in viewing different websites so as to help politicians and practitioners. Methods: Design science research method is used in this research...
متن کامل