Managing Uncertainty and Quality in the Classification Process

نویسندگان

  • Maria Halkidi
  • Michalis Vazirgiannis
چکیده

An important open issue in KDD research is the reveal and the handling of uncertainty. The popular classification approaches do not take into account this feature while they do not exploit properly the significant amount of information included in the results of classification process (i.e., classification scheme), though it will be useful in decision-making. In this paper we present a framework that maintains uncertainty throughout the classification process by maintaining the classification belief and moreover enables assignment of an item to multiple classes with a different belief. Decision support tools are provided for decisions related to: i. relative importance of classes in a data set (i.e., “young vs. old customers”), ii. relative importance of classes across data sets iii. the information content of different data sets. Finally we provide a mechanism for evaluating classification schemes and select the scheme that best fits the data under consideration.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Soft Computing Methods based on Fuzzy, Evolutionary and Swarm Intelligence for Analysis of Digital Mammography Images for Diagnosis of Breast Tumors

Soft computing models based on intelligent fuzzy systems have the capability of managing uncertainty in the image based practices of disease. Analysis of the breast tumors and their classification is critical for early diagnosis of breast cancer as a common cancer with a high mortality rate between women all around the world. Soft computing models based on fuzzy and evolutionary algorithms play...

متن کامل

Thyroid disorder diagnosis based on Mamdani fuzzy inference system classifier

Introduction: Classification and prediction are two most important applications of statistical methods in the field of medicine. According to this note that the classical classification are provided due to the clinical symptom and  do not involve the use of specialized information and knowledge. Therefore, using a classifier that can combine all this information, is necessary. The aim of this s...

متن کامل

Improvement of coal mine roof rating classification using fuzzy type-2

One of the main concerns of an underground coal mining engineer is the safety and stability of the mine. One way that the safety and stability can be ensured is to know and understand the coal mine geology and how it reacts to the mining process. One technique that has shown a lot of success in the coal mining industry for geologic technical evaluation purposes is the coal mine roof rating (CMR...

متن کامل

Integration of QFD, AHP, and LPP methods in supplier development problems under uncertainty

Quality function deployment (QFD) is a customer-driven approach, widely used to develop or process new product to maximize customer satisfaction. Last researches used linear physical programming (LPP) procedure to optimize QFD; however, QFD issue involved uncertainties, or fuzziness, which requires taking them into account for more realistic study. In this paper, a set of fuzzy data is used to ...

متن کامل

Educational Process of Interns in Obstetrics & Gynecology Department at Zahedan University of Medical Sciences in 2002

Introduction. Investigating educational situations of interns in different departments is one of the objectives of educational planning in order to prevent a low quality education and provide some solution for that. This study was done to investigate the learning situation of male and female interns in Obstetrics and Gynecology Department at Zahedan University of Medical Sciences in order to co...

متن کامل

A research on classification performance of fuzzy classifiers based on fuzzy set theory

Due to the complexities of objects and the vagueness of the human mind, it has attracted considerable attention from researchers studying fuzzy classification algorithms. In this paper, we propose a concept of fuzzy relative entropy to measure the divergence between two fuzzy sets. Applying fuzzy relative entropy, we prove the conclusion that patterns with high fuzziness are close to the classi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002