REASONING ALGORITHM FOR THE CREATIVE DECISION SUPPORT SYSTEM INTEGRATING INFERENCE AND MACHINE LEARNING
نویسندگان
چکیده
منابع مشابه
Decision Support System for Diabetes Mellitus through Machine Learning Techniques
recently, the diseases of diabetes mellitus have grown into extremely feared problems that can have damaging effects on the health condition of their sufferers globally. In this regard, several machine learning models have been used to predict and classify diabetes types. Nevertheless, most of these models attempted to solve two problems; categorizing patients in terms of diabetic types and for...
متن کاملA machine learning decision support system for collaborative design
The copyright law of the United States (title 17, U.S. Code) governs the making of photocopies or other reproductions of copyrighted material. Any copying of this document without permission of its author may be prohibited by law. Abstract The research described in this paper is motivated by the complexity surrounding the development of decision support systems (DSSs) for collaborative design p...
متن کاملIntegrating Case-based and Bayesian Reasoning for Decision Support
In this thesis, we present an approach to integration of case-based reasoning and Bayesian reasoning for decision support. Our design is meant to provide physicians with decision support in the context of palliative care for lung cancer patients. Because of delays in the medical data, we created an intermediate application with the aim to assist people in choosing an adequate wine for a given m...
متن کاملNew Approach for Customer Clustering by Integrating the LRFM Model and Fuzzy Inference System
This study aimed at providing a systematic method to analyze the characteristics of customers’ purchasing behavior in order to improve the performance of customer relationship management system. For this purpose, the improved model of LRFM (including Length, Recency, Frequency, and Monetary indices) was utilized which is now a more common model than the basic RFM model apt for analyzing the cus...
متن کاملIntegrating Local Information for Inference and Optimization in Machine Learning
In practice, machine learners often care about two key issues: one is how to obtain a more accurate answer with limited data, and the other is how to handle large-scale data (often referred to as “Big Data” in industry) for efficient inference and optimization. One solution to the first issue might be aggregating learned predictions from diverse local models. For the second issue, integrating t...
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: Computer Science
سال: 2017
ISSN: 1508-2806
DOI: 10.7494/csci.2017.18.3.2364