Data analysis support system

An auxiliary system and data analysis technology, applied in text database clustering/classification, visual data mining, structured data retrieval, etc., can solve problems such as non-disclosure

Inactive Publication Date: 2015-03-25
HITACHI LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In the above-mentioned patent documents 1 and 2, it is considered to use certain analysis indexes when pre-clustering Web pages, but there is no disclosure about the method of efficiently selecting the analysis indexes that can obtain the effect desired by the data analyst.

Method used

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Examples

Experimental program
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Effect test

Embodiment approach 1

[0026]

[0027] figure 1 It is a schematic configuration diagram of the data analysis support system according to Embodiment 1 of the present invention. This system has a data server (DS), an analysis server (AS), and a client (CL).

[0028] A data server (DS) is a server that stores various electronic data that are sources of data analysis. The data server (DS) has, for example, a sensor database (DSMS), a business database (DSMG), a work status log database (DSML), and the like. The sensor database (DSMS) stores sensor data acquired from a business card-type or watch-type wearable (body-mounted) sensor terminal. The business database (DSMG) stores the sales information obtained from the POS (Point Of Sales) system, the attendance information of the salesperson, and the financial information of the company. The operating status log database (DSML) stores the results of regular monitoring of the operating status of equipment in factories or buildings.

[0029] The data s...

Embodiment approach 2

[0143] In Embodiment 2 of the present invention, modifications of the respective configurations described in Embodiment 1 will be described. The other configurations are the same as those in Embodiment 1, so the following description will focus on points of difference from Embodiment 1. FIG.

[0144] In Embodiment 1 of Figure 7 In , it is conceivable to set a new target variable in the input field (15) after performing clustering once in the hierarchical clustering unit (ASCC) and perform clustering again. At this time, it is also possible to make each index selected in the cluster display area (CDE2) or the selected index list display area (CDE3) the original state of the selected state in the index selection list (ASMI) before performing clustering again, and then Even after performing clustering, this selection state can be reflected on each area to keep the selection as it is. Thereby, the user (US) can save the trouble of reselecting each index.

[0145] When the clie...

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PUM

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Abstract

A data analysis support systems according to the present invention assumes any of multiple indices to be an objective variable, implements clustering and collectively outputs indices belonging to the identical cluster.

Description

technical field [0001] The present invention relates to techniques for assisting in the analysis of electronic data. Background technique [0002] With the development of information and communication technology, a large amount of data related to business management is electronically stored, and accordingly, a method for easily deriving management-effective countermeasures without an expert in analysis is required for their utilization. To this end, methods are needed to identify useful indicators from among the many indicators used in analyzing data. [0003] The following Patent Documents 1 and 2 relate to techniques for processing a large amount of data, and describe methods of finding candidates for pages that a user should pay attention to from a huge group of web pages (Japanese: Web Page Group). In these documents, web page groups are clustered based on the frequency of occurrence of keywords in advance, and when a user inputs a specific keyword, a list of web pages ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/35G06Q30/02G06F16/26
Inventor 辻聪美矢野和男佐藤信夫
Owner HITACHI LTD
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