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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2014.1
- 수록면
- 231 - 243 (13page)
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Of the various data that corporations can approach, web log data are important data that correspond to data analysis to implement customer relations management strategies. As the volume of approachable data has increased exponentially due to the Internet and popularization of smart phone, web log data have also increased a lot. As a result, it has become difficult to expand storage to process large amounts of web logs data flexibly and extremely hard to implement a system capable of categorizing, analyzing, and processing web log data accumulated over a long period of time. This study thus set out to apply Hadoop, a distributed processing system that had recently come into the spotlight for its capacity of processing large volumes of data, and propose an efficient analysis plan for large amounts of web log. The study checked the forms of web log by the effective web log collection methods and the web log levels by using Hadoop and proposed analysis techniques and Hadoop organization designs accordingly. The present study resolved the difficulty with processing large amounts of web log data and proposed the activity patterns of users through web log analysis, thus demonstrating its advantages as a new means of marketing.
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참고문헌 (20)
참고문헌 신청
Apache Flume
Apache Hadoop
Dean, J. / 2008 / MapReduce：Simplified Data Processing on Large Clusters / Communications of the ACM 51(1):107~113
Go, Y. D. / 2007 / Design and Implementation of Web Analyzing System based on User Create Log
Han, J. / 2006 / Data Mining：Concepts and Techniques / ELSEVIER Inc
Apache Hadoop
Dean, J. / 2008 / MapReduce：Simplified Data Processing on Large Clusters / Communications of the ACM 51(1):107~113
Go, Y. D. / 2007 / Design and Implementation of Web Analyzing System based on User Create Log
Han, J. / 2006 / Data Mining：Concepts and Techniques / ELSEVIER Inc
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