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Designing a Hybrid Intelligent Model for Prediction of Stock Price golden Points

کلیدواژه: financial markets,forecasting,stocks golden points,Data mining

نویسندگان: Moshari Mohammad, Didehkhani Hosein, Khalili Dameghani Kaveh, ABBASI EBRAHIM

ناشر: دانش سرمایه گذاری - INVESTMENT KNOWLEDGE

The purpose of this research is to provide an intelligent model for prediction of golden points on stock price chart as a decision support system. For conduction of this research, the data of the automotive and parts manufacturing industry during 2001 through to 2016 were used. First, the obtained r... ادامه

سال:2019

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COVID-19 Prediction Classifier Model Using Hybrid Algorithms in Data mining

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

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Hybrid Medical Data mining Model for Identifying Tumor Severity in Breast Cancer Diagnosis

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

سال:2021

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Evaluation of Hybrid Model ANN-PSO and Different Data mining Methods in Estimating Monthly Evapotranspiration in Two Different Climates

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

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A Hybrid Data-mining Algorithm and DataDriven Supply Chain Modeling for Allocation Goods to Warehouses and Warehouse Service to Customers

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

سال:2021

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Ability, CEOs’ s financial Knowledge and financial Reporting Transparency

کلیدواژه: data envelopment analysis,CEOs’ ؛ s educational degrees,Financial Reporting Transparency,Tehran Stock Exchange

نویسندگان: Taheri Abed Reza, ALINEZHAD SAROKOLAEI MEHDI, Faghani Makerani Khosrow

ناشر: دانش حسابداری مالی - JOURNAL OF financial ACCOUNTING KNOWLEDGE

Individual characteristics of CEOs such as ability and financial knowledge can eclipse their behavior and type of decision in the organization, and thereby affect transparency of financial reporting. In this research, the influence of ability and CEOs’ s financial knowledge on the transparenc... ادامه

سال:2018

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Islamic financial Products

کلیدواژه:

نویسندگان: -

ناشر: Palgrave Macmillan, Cham

... ادامه

سال:2019

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Islamic financial Terms

کلیدواژه:

نویسندگان: Islamic Financial Services Board

ناشر: Islamic financial Services Board

... ادامه

سال:1442

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