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Prediction using Machine Learning (ML) techniques on Big Data is a computationally and system-wide challenging problem. Especially in the case when the system is processing approximately 10^9 observations per day scalability is the prime concern. In order to be able to rapidly train models covering whole multivariate space the time series vectors, which exhibit significant similarities, are clustered into the groups. Consequently the resulting vector clusters could be modelled using ML tools capable of coefficient estimation at the massive scale (Apache Spark with Scikit Learn). Presentation describes application of the Linear Regression and Support Vector Regression with Radial Basis Function kernel. This approach enables training models fast enough to complete the task within a couple of hours, allowing daily or even real time updates of the coefficients. The above machine learning framework is used to predict the airfares used as support tool for the Revenue Management systems.

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for performance-based design of building frameworks subject to earthquake loading. The technique is based on the conventional displacement method of elastic analysis. Through the use of a ‘plasticity-factor’ that measures the degree of plasticization the standard elastic and geometric stiffness matrices for frame elements (beams, columns, etc.) are progressively modified to account for nonlinear elastic–plastic behavior under constant gravity loads and incrementally increasing lateral loads. The behavior model accounts for material inelasticity due to both single and combined stress states, and provides the ability to monitor the progressive plasticization of frame elements and structural systems under increasing intensity of earthquake ground motion - -دراسة تحليلة لاخطية تظهر تطور دخول اطارات المنشأ من المرحلة المرنة الى اللدنة - مع ثبات الوزن الميت- والتغير التدريجي للحمولات الزلزالية - مقابل التغيرات والانتقالات وتشكل وتموضع المفاصل اللدنة وذلك بعد الانتهاء من التحليل وتصميم مقاطع وتسليح العناصر كن push overغير معتمدة من الكودات في الوقت الحاضر ويكفي العمل وفق ما جاء في الكود لتحديد موقع المفصل عض الكودات حددت مواقع المفصل اللدن على الواقع للمنشأ حيث يمكن تطبيق اشتراطات المقطع المتشقق ومتطلبات تشكل المفصل اللدن في هذه الأماكن؛ -1جميع كمرات الاطارات وعلى كامل ارتفاع البناء وعلى اطراف عقدة الوصل بين العامود والكمرة في حال الإطار الخاص ومقاوم للعزوم

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1. REPORTING OFFICER: SUBMITTED BY: SIGN:-_______________

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