نتایج جستجو برای: data management
تعداد نتایج: 3064395 فیلتر نتایج به سال:
In this report methods to evaluate the costs of non-quality are studied. It is possible to associate with this measurement an economic evaluation of data value. Different components of total costs will be considered, both organizational and related to data management costs.
Nowadays large real estates and infrastructural installations are managed using Computer Aided Facilities Management-systems (CAFM-systems). These systems are based on the graphical and alphanumerical base data of the building, as well as real-time data from master control systems and security installations. Even though a substantial number of rules and regulations exist concerning how the info...
the aim of this thesis is an approach for assessing insurer’s solvency for iranian insurance companies. we use of economic data with both time series and cross-sectional variation, thus by using the panel data model will survey the insurer solvency.
Customer Relationship Management (CRM) is a strategy to acquire new customers, to retain them and to recover them if they defected. The corresponding CRM goals can only be achieved if the right data sources are combined. This paper discusses what external and internal data are available along the CRM process and how they support the achievement of the specific CRM goals. Starting with defining ...
بیمه گران همیشه بابت خسارات بیمه نامه های تحت پوشش خود نگران بوده و روش هایی را جستجو می کنند که بتوانند داده های خسارات گذشته را با هدف اتخاذ یک تصمیم بهینه مدل بندی نمایند. در این پژوهش توزیع های فیزتایپ در مدل بندی داده های خسارات معرفی شده که شامل استنباط آماری مربوطه و استفاده از الگوریتم em در برآورد پارامترهای توزیع است. در پایان امکان استفاده از این توزیع در مدل بندی داده های گروه بندی ...
In this chapter, two aspects of database systems, namely database management and data mining, for the smart grid are covered. The uses of database management and data mining for the electrical power grid comprising of the interrelated subsystems of power generation, transmission, distribution, and utilization are discussed.
Database research mainly focuses on forward-moving data flows: source data is subjected to transformations and evolves through queries, aggregations, and view definitions to form a new target instance, possibly with a different schema. This Forward Paradigm underpins most data management tasks today, such as querying, data integration, data mining, etc. We contrast this forward processing with ...
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