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کلیدواژه: Accuracy,Covid-19,Classifier model,Data mining,Hybrid data mining
نویسندگان: Nikooghadam Morteza, Ghazikhani Adel, SAEEDI MOHAMMAD
ناشر: - Journal of Pediatric Perspectives - Journal of Pediatric Perspectives
Increase of stored data in medical databases needs allocative tools to get access to data, data mining, discover knowledge and efficient use of data. Medical and treatment fields are two examples of data mining tools to analyze massive data and predictive modelling. In medical sciences, prediction a... ادامه
سال:2021
مشاهده/دانلود
کلیدواژه: Breast Cancer Prediction,Mammography,Ultrasonography,Medical Data Mining,Invasive Ductal Carcinoma
نویسندگان: Araghi Niknam Faeze, Ghousi Rouzbeh, Masoumi AmirHossein, ATASHI ALIREZA, MAKUI AHMAD
ناشر: مهندسی صنایع - Advances in Industrial Engineering
Purpose: This study proposes a methodology for detecting tumor severity using data mining of databases relating to breast imaging modalities. In doing so, it proposes creating a software application that can serve as an efficient decision-making support system for medical practitioners, especially t... ادامه
کلیدواژه: Dry Regions,Evaporation and Transpiration,Machine Learning,Soft Computing
نویسندگان: Hosseini Vardanjani S.M.R., KHOSHRAVESH M., Hosseini Kakolaki S.E., Pourgholam Amiji M.
ناشر: آبیاری و زهکشی ایران - Iranian Journal of Irrigation and Drainage
Evapotranspiration is one of the main components of any region's water balance. Its accurate estimation is very necessary for hydrological studies, designing irrigation and drainage systems, and planning irrigation systems. In this research, the M5 tree model, M5 Rules, K Star, Rep Tree, artificial ... ادامه
سال:2023
کلیدواژه: Supply Chain,Warehouse Location,Data Mining,Warehouse Allocation,Clustering
نویسندگان: AHMADI SADRA, Yousefpour Reza
ناشر: چشم انداز مدیریت صنعتی - Industrial Management Perspective
In this research, the issue of product allocation in a situation that there are a large number customers and goods are various, is investigated. Expanding the level of Internet access and increasing the desire of online shopping, raise the number of customers. In a situation where there is a great v... ادامه
کلیدواژه: Forecasting, Future Price of Saffron, Genetic algorithm, Wavelet Theory, Deep learning Neural Network, Monte Carlo Method
نویسندگان: Heydari Reza, Haj Seyed Javady Seyed Mohammad Reza
ناشر: اقتصاد کشاورزی و توسعه - Journal of Agricultural Economics and Development
The price forecasting and its changes trend is one of the most important factors in decision making and formulating strategies related to agricultural products. This study aimed at presenting a hybrid data mining model for accurate price forecasting of agricultural products, including nonlinear mode... ادامه
کلیدواژه: Scenario development,Artificial neural network,Multi-objective land optimization,Markov chain,Accuracy assessment
نویسندگان: Joorabian Shooshtari Sharif
ناشر: جغرافیا و پایداری محیط - Geography and Environmental Sustainability
Wetlands are vital for human survival and constitute 40. 6% of the total value of global ecosystem services. This study analyzed land cover changes in the Golpayegan Shoor wetland from 1988 to 2018 and then modeled it with a combination of artificial neural network, Markov chain, and multi-objective... ادامه
کلیدواژه: Stock Fall Risk,Real Earnings Management,Institutional Ownership,Dynamic Panel Data
نویسندگان: Eslami Mohsen, Erzae Amir Hossein
ناشر: سیاست های مالی و اقتصادی - Journal of Fiscal and Economic Policies
The risk of stock price crash is one of the topics of interest in capital market research. Since the main mission of capital market regulators is to protect the rights of investors, it has always been important to consider the factors that affect crash risk. The quality of financial reporting and ea... ادامه
کلیدواژه: Wireless sensor network,Distributed optimization,Particle swarm optimization,Regression,Boosting
نویسندگان: Shakibian Hadi, Nasiri Jalaledin
ناشر: - Journal of Information Systems and Telecommunication - Journal of Information Systems and Telecommunication
An efficient data aggregation approach in wireless sensor networks (WSNs) is to abstract the network data into a model. In this regard, regression modeling has been addressed in many studies recently. If the limited characteristics of the sensor nodes are omitted from consideration, a common regress... ادامه
سال:2022
کلیدواژه: Multilevel Programming,Taguchi Method,Data Envelopment Analysis,Hybrid Model,Bank
نویسندگان: JAFARI MOHAMMAD REZA, Esmailian Gholamreza, JAFARI ESKANDARI MEISAM, TAVAKKOLI MOGHADDAM REZA
ناشر: INTERNATIONAL JOURNAL OF NONLINEAR ANALYSIS AND APPLICATIONS - INTERNATIONAL JOURNAL OF NONLINEAR ANALYSIS AND APPLICATIONS
Many organizations (including banks) have a multi-step process and their operations are a continuous process in successive periods. The Taguchi method is an e cient way to optimize a single quality response. However, in practice most products / processes have more than one qualitative response.... ادامه
سال:2020
کلیدواژه: Digital Banking, Digital Marketing, Delphi technique, Fuzzy Analysis, Tose’e Ta’avon Bank
نویسندگان: Shafeian Niloofar, Aghaei Mohammad, Gharibnavaz Nader
ناشر: حسابداری دولتی - Governmental Accounting
Subject and purpose of the article: In the present study, the digital marketing model that has been extracted using the grounded theory has been using analysis fuzzy analysis technique and Delphi method.Research method: The statistical populat... ادامه
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