The Future Direction of New Computing Environment for Exabyte Data in the Business World

Yada, Katsutoshi; Hamuro, Yukinobu; Katoh, Naoki; Kishiya, Kazuhiro

doi:10.1109/saintw.2005.1620038

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…Each command-line based program of MUSASHI is designed to process an XMLtable type of data which represents a tabular data in XML [7]. A XMLtable type of data is an XML document composed of two parts, one part is the body of data which represents a tabular data separated simply with space characters.…”

Section: Architecture Of Musashimentioning

confidence: 99%

Development of Data Mining Platform MUSASHI Towards Service Computing

Ichikawa

Yada

Washio

2010

2010 IEEE International Conference on Granular Computing

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The objective of this paper is to introduce further development of a data mining tool, MUSASHI (Mining Utilities and System Architecture for Scalable processing of HIstorical data), for service computing. Recent advances in information systems have allowed us to gather enormous amounts of data on marketing. However, these gathered data have been individually stored at each company, and have never been integrated because of a lack of techniques to analyze the data in an integrated way and to handle the large amount of data efficiently. To address this issue, we are currently investigating a way to provide a data mining platform as a service so that users can apply various data mining techniques to their marketing data with ease and at a low cost. For this purpose, we have developed an ASP platform leveraging distributed computing technology represented by Cloud computing. This paper describes the ASP platform for data mining services and introduces an empirical application of data mining using our platform.

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Section: Architecture Of Musashimentioning

confidence: 99%

Development of Data Mining Platform MUSASHI Towards Service Computing

Ichikawa

Yada

Washio

2010

2010 IEEE International Conference on Granular Computing

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“…The CODIRO system [13], the consumer research system that we developed on MUSASHI, is a business application that has the objectives of integrating massive amounts of highly varied company data and data from such sources as the Internet and to discover new knowledge that leads to business solutions. By using CODIRO, we can integrate data from multiple company and Internet sources, including open communications with consumers and can collect and analyze aspects of this data that are of high potential interest to marketing staff analysts that use this research support system.…”

Section: The Objective Of the Systemsmentioning

confidence: 99%

CODIRO: A New System for Obtaining Data Concerning Consumer Behavior Based on Data Factors of High Interest Determined by the Analyst

Yada

2006

Soft Comput

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The aim of this paper is to propose a new system for the strategic use of customer data that includes and integrates such differing data sources as company databases, mobile telephone networks and Internet data and is a consumer research support system for the discovery of new marketing opportunities. This system, called CODIRO, will be discussed in this paper using a case study of the effects on sales of processed food product television commercials. A system for verifying the validity of consumer behavior models will also be described and discussed. Use of the CODIRO analysis system makes it easy to introduce, into the analytic model, consumer attitude changes and in-store data of many types that have not been used to measure advertising and promotional activity effectiveness in the past.

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The Future Direction of New Computing Environment for Exabyte Data in the Business World

Abstract: Abstract

Cited by 2 publications

References 2 publications

Development of Data Mining Platform MUSASHI Towards Service Computing

Development of Data Mining Platform MUSASHI Towards Service Computing

CODIRO: A New System for Obtaining Data Concerning Consumer Behavior Based on Data Factors of High Interest Determined by the Analyst

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