Optimizing HBase Table Scheme for Marketing Strategy Suggestion

被引：0

作者：

Hong, Seungkyun ^{[1
,2
]}

Cho, Minhee ^{[1
]}

Shin, Sungho ^{[1
]}

Um, Jung-ho ^{[1
]}

Seon, Choong-Nyoung ^{[1
]}

Song, Sa-Kwang ^{[1
,2
]}

机构：

[1] Korea Inst Sci & Technol Informat KISTI, Convergence Technol Res Div, Decis Support Technol Lab, Daejeon, South Korea

[2] Korea Univ Sci & Technol UST, Dept Big Data Sci Major, Daejeon, South Korea

来源：

2016 8TH INTERNATIONAL CONFERENCE ON KNOWLEDGE AND SMART TECHNOLOGY (KST) | 2016年

关键词：

component; Business Intelligence; Big Data; Marketing Scenario Suggestion; Decision Support;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose a unique table schema to store business data for marketing strategy analysis. Marketing strategy analysis requires various business index such as floating population, store transactions to calculate its model, which are too detailed to analyze some specific customer clusters. These data of detailed unit may produce continuous database query in responsible for slow runtime performance. The performance of strategy analysis operation may be increased. By merging data records and modifying table schema that are suitable for model calculation.

引用

页码：313 / 316

页数：4

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