Method of improving big data value density based on heterogeneous association
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 objec...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2017-12-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017341/ |
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| _version_ | 1841530252807897088 |
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| author | Shaomin WANG Zheng WANG |
| author_facet | Shaomin WANG Zheng WANG |
| author_sort | Shaomin WANG |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e221abc0c93b4d0dbc4ea83825b98e53 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2017-12-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-e221abc0c93b4d0dbc4ea83825b98e532025-01-15T03:05:37ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012017-12-013310711359598605Method of improving big data value density based on heterogeneous associationShaomin WANGZheng WANGThe 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017341/big datatelecom service big datamulti-source and heterogeneousheterogeneous association |
| spellingShingle | Shaomin WANG Zheng WANG Method of improving big data value density based on heterogeneous association Dianxin kexue big data telecom service big data multi-source and heterogeneous heterogeneous association |
| title | Method of improving big data value density based on heterogeneous association |
| title_full | Method of improving big data value density based on heterogeneous association |
| title_fullStr | Method of improving big data value density based on heterogeneous association |
| title_full_unstemmed | Method of improving big data value density based on heterogeneous association |
| title_short | Method of improving big data value density based on heterogeneous association |
| title_sort | method of improving big data value density based on heterogeneous association |
| topic | big data telecom service big data multi-source and heterogeneous heterogeneous association |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017341/ |
| work_keys_str_mv | AT shaominwang methodofimprovingbigdatavaluedensitybasedonheterogeneousassociation AT zhengwang methodofimprovingbigdatavaluedensitybasedonheterogeneousassociation |