Monarch data mining is a popular all over the world tool of extraction and the analysis of data, which allows the user to transform target files of reports into alive data on his personal computer. Monarch is intended for release of working drawings of an architecturally building structure (plans and according to them in a semi automatic mode cuts, facades and units). For frame buildings the longitudinal and cross section section of a skeleton is under construction.
The user of the program can draw the exact sizes, move and remove external walls, brick and modular partitions, to do brick inserts in concrete walls, apertures, columns, crossbars, beams, overlapping, bases, etc. The plates of overlapping are displayed and specified, as well as the plates of loggias and balconies, anchors.
Drawings on fitment grids and skeletons, metal designs are created and specified. The sanitary technician, furniture, and kitchen equipment are placed. The areas of floors, ceiling and so on are figured out. The designers can create practically all necessary tabulated documents. There is an extensive, opened for conducting by designers a powerful designed program, which provides a performance of all works on registration of the drawing. They consider both civil, and industrial specificity.
Another related to Monarch data mining program is Vokal. It is a system of graphic designing of plumbing and sanitary. It is intended for designing water and sewer networks outside of the buildings, as well as inside of them by plans and schemes. Vocal can also automatically to manipulate with drawings of a building sub base executed by the system of architecturally building designing Monarch. It transforms thick lines in thin and deletes door cloths and design elements. It also reports the specificity of both civil, and industrial designing.
Monarch is a state English electronic database, which was created in the middle of 1990th years at the Royal Commission on the Historical Monuments of England (RCHME). Now, after the merge of the Royal commission and English Heritage service in 1999, it is submitted to the last. According to the site of the English Heritage, in the end of 1999 Monarch consisted of more than 250 000 descriptions archaeological places, excavation and archives, architectural monuments, sea objects, but its base extends and in 2000 year it consisted already of more than 1 million units. Now this database is not accessible to the wide consumer: it functions as classical archive with paid and free of charge services, with system of inquiries, which can be sent by e mail.
Each numerical value containing in data warehouse, has up to several tens of attributes. Thus, it is possible to consider, that work goes with multivariate structures, in which numerical values are located on crossing of several measurements. This approach is used in OLAP systems.
They give flexible means of navigation on multivariate structures so called OLAP manipulations. With their help the analyst can receive various cuts of data. Financial analysts, managers have an opportunity to look at business activity of the enterprise from many aspects: to open new tendencies, to reveal anomalies in business development, quickly to get access to the demanded information, to raise efficiency and quality of accepted decisions.
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