System for and method of generating steam for use in oil recovery processes

A similarity, high-dimensional technology, applied in multi-dimensional databases, structured data retrieval, various digital computer combinations, etc., can solve problems such as invalid, excessively large data, skew distortion, etc.

Inactive Publication Date: 2004-03-31
SAMSUNG ELECTRONICS CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the number of cells generated from the partition becomes larger, the data skew phenomenon is generated excessively
Therefore, algorithms based on spatial partitioning themselves become ineffective

Method used

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  • System for and method of generating steam for use in oil recovery processes
  • System for and method of generating steam for use in oil recovery processes
  • System for and method of generating steam for use in oil recovery processes

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Embodiment Construction

[0034] Hereinafter, a preferred embodiment of the present invention is illustrated with reference to the accompanying drawings in order to provide a non-limiting illustrative description of the present invention. However, the embodiments are merely examples of the invention, and thus the specific features described below are only used to more easily explain such embodiments and provide a comprehensive understanding of the invention. Therefore, those skilled in the art will readily appreciate that the present invention is not limited to the specific examples described below. Also, descriptions of various configurations and compositions of the present invention known to those skilled in the art are omitted for clarity and brevity.

[0035] Furthermore, the present invention is not required to overcome the above-mentioned disadvantages and other disadvantages, and an illustrative, non-limiting embodiment of the present invention may not overcome any of said disadvantages.

[003...

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Abstract

A partition-based high dimensional similarity join method allowing similarity to be efficiently measured by beforehand dynamically selecting space partitioning dimensions and the number of the partitioning dimensions using a dimension selection algorithm. A method of efficiently performing similarity join for high dimensional data during a relatively short period of time without requiring massive storage space. The method includes according to the present invention comprises the steps of partitioning a high dimensional data space and performing joins between predetermined data sets. Dimensions for use in partitioning the high dimensional data space and the number of partitioning dimensions are determined in advance before the space partitioning, and the joins are performed only when respective cells of the data sets are overlapping with each other or are neighboring each other.

Description

[0001] This application claims priority from Korean Patent Application No. 10-2002-0055101 filed Sep. 11, 2002, which is incorporated herein by reference. technical field [0002] The present invention relates to a high-dimensional similarity combination method, in particular to a partition-based high-dimensional similarity combination method, which allows efficient measurement of similarity by dynamically selecting the dimension of the space partition and the number of dimensions of the partition in advance by using a dimension selection algorithm sex. Background technique [0003] Generally, multimedia data such as audio, video, image, and text, time series data indicating a sequence over a period of time, and a large amount of business data for various data warehouses are first passed through a preprocessing procedure and then mapped to a high-dimensional space Click to use for search, management, etc., as shown in Figure 6. The similarity between the mapped data is meas...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/15G06F7/00G06F12/00G06F15/16G06F17/10G06F17/30G06T5/00
CPCG06F17/30592Y10S707/99943Y10S707/99953Y10S707/99945G06F17/30017Y10S707/99942G06F16/283G06F16/40G06T5/00
Inventor 申孝燮
Owner SAMSUNG ELECTRONICS CO LTD
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