Method of improving big data value density based on heterogeneous association

Shaomin WANG; Zheng WANG

doi:10.11959/j.issn.1000-0801.2017341

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Method of improving big data value density based on heterogeneous association

Column:big data technology and application | 更新时间：2024-06-05

- Method of improving big data value density based on heterogeneous association
- Telecommunications Science Vol. 33, Issue 12, Pages: 107-113(2017)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2017341
  CLC： TP393
- Published Online：2017-12，
  
  Published：20 December 2017
- 稿件说明：
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Shaomin WANG, Zheng WANG. Method of improving big data value density based on heterogeneous association[J]. Telecommunications science, 2017, 33(12): 107-113.
DOI：

Shaomin WANG, Zheng WANG. Method of improving big data value density based on heterogeneous association[J]. Telecommunications science, 2017, 33(12): 107-113. DOI： 10.11959/j.issn.1000-0801.2017341.

摘要

电信大数据通常分散存储在 DPI、OIDD、CRM 等多个系统中，且格式、表述和规则在各系统中互不相同；因而，同一对象在不同系统中的多类数据很难被有效识别及完整利用，大数据分析的样本规模和特征维度严重受限，导致分析结果可信度和准确率下降。提出了电信大数据的异构关联方法与实现架构，并进行了方法的流程举例和验证，从用户维度实现了多系统间的数据融合，优化了诸如用户画像等应用的数据样本空间，从而大幅提升电信大数据价值密度。

Abstract

The big data resources possessed by telecom operators are usually distributed in many different systems

such as DPI、OIDD、CRM.Moreover

the formulation

interpretation and rules of the big data are not always the same in different systems.Therefore

it is difficult to identify and utilize the same object’s multi-type data in different sys-tems.Big data analysis’ sample size and dimension are limited

with the decreasing of analysis results’ reality and accuracy.The methods

architectures and implementation examples of big data’s heterogeneous association were pre-sented.The data fusion in user-dimension from different systems could optimize the data sample space of applications

such as user portrait.Thus

the value of carrier’s big data density was greatly improved.

关键词

Keywords

references

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