Результаты поиска - management data processing.

Альтернативы поиска:

  1. 1

    Data mining cookbook : modeling data for marketing, risk and customer relationship management / по Rud, Olivia Parr

    Опубликовано 2001
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    Management Expert Systems /

    Опубликовано 1988
    Предметы: “...management Data processing....”
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    Computer-based energy management systems : technology and applications / по Cho, Chun H.

    Опубликовано 1984
    Предметы: “...Industries Energy conservation Data processing....”
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    The computer glossary : the complete illustrated dictionary / по Freedman, Alan. 1942 -

    Опубликовано 1998
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    Combustion and incineration processes : applications in environmental engineering / по Niessen, Walter R.

    Опубликовано 2010
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    Digital water : enabling a more resilient, secure and equitable water future / по Sarni, William

    Опубликовано 2022
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    دور إدارة الموارد البشرية في تعزيز التحول الرقمي بالتطبيق على مديرية الصحة – محافظة الفيوم / The Role of Human Resource Management in Promoting Digital Transformation: An Applied S... по حسان، فايزة أحمد محمد, طبالة، زينات محمد

    Опубликовано 2026
    “...Statistical analysis of the collected data revealed a strong and statistically significant relationship between HRM practices, particularly recruitment and selection, training and development, motivation, and change management, and the advancement of digital transformation initiatives. ...”
    Полный текст
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    (85) A Non-Recursive Methods of Matrix Inversion and its Applications to Regression Analysis طرق غير تكرارية لعكس المصفوفات وتطبيقاتها في تحليل الانحدار... по M. M. El-Imam

    Опубликовано 2023
    “...This study presents and develops a non-recursive method for matrix inversion and examines its applications in regression analysis as part of an effort to simplify computational procedures and improve the efficiency of quantitative data processing. Matrix inversion is a fundamental operation in many mathematical and statistical applications, particularly in multiple linear regression analysis, where parameter estimation and the identification of relationships among variables depend heavily on matrix computations. ...”
    Полный текст
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    (695) Classification and Aggregation of production in the planned Inter-Branch BalancesTop of Form تصنيف وتجميع الإنتاج في أرصدة الفروع المخططة - أعلى النموذج... по Gely T. pavlov

    Опубликовано 2026
    “...The memorandum also outlines the principles of grouping branches and products based on economic purpose and technological similarity, employing vertical and horizontal homogenization concepts to simplify economic models without compromising the accuracy of data necessary for planning decisions. The study indicates that the grouping process relies on analyzing the input-output structure, facilitating the formulation of accurate balances and the more efficient use of computers in analyzing macroeconomic ratios . ...”
    Полный текст
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    (543) السيبرنتيكا وعلم الاقتصاد Cybernetics and Economics по ترجمة أحمد هاشم مراجعة د. محمد رضا العدل

    Опубликовано 2026
    “...It explains how these methods contribute to improving long-term planning processes and determining actual resource and energy needs, ultimately leading to the scientific adjustment of prices and wages to reflect the true costs of production. ...”
    Полный текст
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    (410) Educational Statistics & The Educational Plan in the U.A.R الإحصاء التربوي والخطة التعليمية في الجمهورية العربية المتحدة по Hamza, M.

    Опубликовано 2024
    “...The study emphasizes that educational systems cannot be efficiently managed or directed toward development objectives without a well-organized statistical framework capable of supporting decision-making processes. ...”
    Полный текст
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    (860) الآلات الحاسبة "اللغة الجبرية" electronic computers "Fortran languages по عبد الله السعيد طلبة النجار

    Опубликовано 2026
    “...Furthermore, the study equips practitioners with vital programming mechanics, covering administrative control statements (unconditional/computed GO TO, IF Switch tests, END commands), structured Input/Output operations (READ, ACCEPT, PUNCH, TYPE), precise data format specifications (I, F, E, X, H conversions), multi-dimensional array allocations for complex matrix forecasting via DIMENSION statements, and automated iteration loops managed by DO statements. ...”
    Полный текст
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