AIPS (Automatic Incident Process System) using Naive Bayesian Classification on ITSM-based System
نویسندگان
چکیده
منابع مشابه
Semi-naive Bayesian Classification
The success and popularity of naive Bayes has led to a field of research exploring algorithms that seek to retain its numerous strengths while reducing error by alleviating the attribute interdependence problem. This thesis builds upon this promising field of research, contributing a systematic survey and several novel and effective techniques. It starts with a study of the strengths and weakne...
متن کاملFault Diagnosis for Fuel Cell based on Naive Bayesian Classification
Many kinds of uncertain factors may exist in the process of fault diagnosis and affect diagnostic results. Bayesian network is one of the most effective theoretical models for uncertain knowledge expression and reasoning. The method of naive Bayesian classification is used in this paper in fault diagnosis of a proton exchange membrane fuel cell (PEMFC) system. Based on the model of PEMFC, fault...
متن کاملAn Automatic Bayesian Classification System for File Format Selection
This paper presents an approach for the classification of an unstructured format description for identification of file formats. The main contribution of this work is the employment of data mining techniques to support file format selection with just the unstructured text description that comprises the most important format features for a particular organisation. Subsequently, the file format i...
متن کاملNot so naive Bayesian classification
Of numerous proposals to improve the accuracy of naive Bayes by weakening its attribute independence assumption, both LBR and TAN have demonstrated remarkable error performance. However, both techniques obtain this outcome at a considerable computational cost. We present a new approach to weakening the attribute independence assumption by averaging all of a constrained class of classifiers. In ...
متن کاملAutoClass: A Bayesian Classification System
This paper describes AutoClass H, a program for automatically discovering (inducing) classes from a database, based on a Bayesian statistical technique which automatically determines the most probable number of classes, their probabilistic descriptions, and the probability that each object is a member of each class. AutoClass has been tested on several large, real databases and has discovered p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Indian Journal of Science and Technology
سال: 2016
ISSN: 0974-5645,0974-6846
DOI: 10.17485/ijst/2016/v9is1/109896