نتایج جستجو برای: rulebased classifier

تعداد نتایج: 44332  

2011
Hossein Abbasimehr Mostafa Setak M. J. Tarokh

Churn prediction is a useful tool to predict customer at churn risk. By accurate prediction of churners and non-churners, a company can use the limited marketing resource efficiently to target the churner customers in a retention marketing campaign. Accuracy is not the only important aspect in evaluating a churn prediction models. Churn prediction models should be both accurate and comprehensib...

Journal: :journal of medical signals and sensors 0
reza azmi boshra pishgoo narges norozi samira yeganeh

brain mr images tissue segmentation is one of the most important parts of the clinical diagnostic tools. pixel classification methods have been frequently used in the image segmentation with two supervised and unsupervised approaches up to now. supervised segmentation methods lead to high accuracy but they need a large amount of labeled data, which is hard, expensive and slow to obtain. moreove...

H. Rajabi Mashhadi, S. A. Seyedin, S. H. Zahiri,

The concepts of robust classification and intelligently controlling the search process of genetic algorithm (GA) are introduced and integrated with a conventional genetic classifier for development of a new version of it, which is called Intelligent and Robust GA-classifier (IRGA-classifier). It can efficiently approximate the decision hyperplanes in the feature space. It is shown experime...

2011
G. Priya N. Jaisankar M. Venkatesan

Co-location pattern is a group of spatial features/events that are frequently co-located in the same region. The co-location pattern discovery process finds the subsets of features frequently located together. Co-location rules are identified by spatial statistics or data mining techniques. A co-location algorithm has been used to discover the co-location patterns which possess an ant monotone ...

2005
Tim Finin

Uncertain facts and inexact rules can be represented and processed in standard Prolog through meta-interpretation. This requires the specification of appropriate parsers and belief calculi. We present a meta-interpreter that takes a rule-based belief calculus as an external variable. The certainty-factors calculus and a heuristic Bayesian belief-update model are then implemented as stand-alone ...

Journal: :Cifrovaâ transformaciâ 2023

The main task of knowledge acquisition (also named extraction) from natural language texts is to extract into fragment base intelligent system. Through the induction related literature about at a home country and abroad, this paper analyses strengths weaknesses classical approach. After emphatically researching rulebased extraction technology method building ontology linguistics, article propos...

Journal: :Computer Science and Information Technology 2022

The electricity consumption of buildings composes a major part the city’s energy consumption. Electricity forecasting enables development home management systems, resulting in future design more sustainable houses and decrease total Energy performance is influenced by many factors, like ambient temperature, humidity, variety electrical devices. Therefore, multivariate prediction methods are pre...

2006
Saroj Kumar Pradhan

This paper deals with motion planning of multiple mobile robots. Mobile robots working together to achieve several objectives have many advantages over single robot system. However, the planning and coordination between the mobile robots is extremely difficult. In the present investigation rule-based and rulebased-neuro-fuzzy techniques are analyzed for multiple mobile robots navigation in an u...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه مازندران 1388

target tracking is the tracking of an object in an image sequence. target tracking in image sequence consists of two different parts: 1- moving target detection 2- tracking of moving target. in some of the tracking algorithms these two parts are combined as a single algorithm. the main goal in this thesis is to provide a new framework for effective tracking of different kinds of moving target...

ژورنال: :مجله انفورماتیک سلامت و زیست پزشکی 0
فائزه افضلی faezeh afzali زهره حیدری zohreh heidari میترا منتظری mitra montazeri لیلا احمدیان leila ahmadian ph.d. in medical informatics, associate professor, medical informatics research center, institute for futures studies in health, kerman university of medical sciences, kerman, iran.دکترای تخصصی انفورماتیک پزشکی، دانشیار، مرکز تحقیقات انفورماتیک پزشکی، پژوهشکده آینده پژوهی در سلامت، دانشگاه علوم پزشکی کرمان، کرمان، ایران. محمد جواد زاهدی mohammad javad zahedi

مقدمه: سرطان اولیه کبد hcc)) پنجمین سرطان شایع در دنیا و سومین عامل مرگ و میر در جهان می­باشد. علائم سرطان کبد پس از بروز به سرعت پیشرفت کرده و در صورت عدم تشخیص به موقع متأسفانه بقای عمر بیمار بسیار کم می­ گردد. یکی از مشکلات اصلی پیش روی متخصصین گوارش، پیش بینی و تشخیص زود هنگام سرطان کبد است. داده کاوی از روش­هایی است که در این زمینه  مورد استفاده واقع می­ گردد. هدف از انجام این مطالعه معرفی...

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