نتایج جستجو برای: financial data processing
تعداد نتایج: 2843753 فیلتر نتایج به سال:
Global, constant-velocity, translational motion in an image sequence induces a characteristic energy footprint in the Fourier-transform (FT) domain; spectrum is limited to a plane with orientation defined by the direction of motion. By detecting these spectral occupancy planes, methods have been proposed to estimate such global motion. Since the discrete cosine transform (DCT) is a ubiquitous t...
Pada era yang serba modern dan digital ini membuat semua hal dapat dilakukan secara melalui social media, termasuk melihat apakah suatu perusahaan melakukan financial fraud atau tidak. Penelitian menggunakan data non untuk mendeteksi fraud. Data diambil dari media diproksikan oleh public account, account authentication, creation time posting frequency. dengan EPS, operating margin, ROA, quick r...
As near infrared spectra has the characters of multi-variables and strong correlations, to solve the problem, Fourier transform (FT) was used to extract feature variables of shelled chestnuts spectra. FT coefficients and the status of 178 chestnuts were selected as inputs and outputs of the back-propagation neural network (BPNN) classifier to build a recognition model. For comparison, principal...
Microfinance is defined as the provision of financial services to poor, disadvantaged and under-privileged members of society, particularly in developing countries. Since the success of the Grameen Bank in the late 1970s, microfinance has emerged as a sustainable and effective method of poverty alleviation and local financial development. Recent years have witnessed an unprecedented growth in t...
competition between the managers of industrial and service organizations to provide their financial needs and credit facilities via the bank's loan is growing daily. other hand, financial resources and credit of banks and financial institutions to provide accommodations to applicants is limit. accordingly the optimal allocation of limit financial resources with the aim of making the maximu...
Over the last decade, there have been a significant amount of research works on compound renewal risk models with dependence. These risk models assume a dependence relation between interclaim times and claim amounts. In this paper, we pursue their investigation. We apply change of measure techniques within the compound renewal risk models with dependence to obtain exact expressions for the Gerb...
The stock market is a complex and dynamic system with noisy, non-stationary and chaotic data series. Prediction of a financial market is more challenging due to chaos and uncertainty of the system. Soft computing techniques are progressively gaining presence in the financial world. Compared to traditional techniques to predict the market direction, soft computing is gaining the advantage of acc...
Money laundering evolves using multiple layers of trade, multi trading methods and uses multiple components in order to evade detection and prevention techniques. Consequently, detecting money laundering requires an analytical framework that can handle large amounts of unstructured, semistructured and transactional data that stream at transactional speeds to detect business-complexities, and di...
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