人工智能-数据挖掘-Hadoop海量数据挖掘在宽带客户信息推送系统中的应用研究.pdf
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ABSTRACT
II
ABSTRACT
With the rapid growth of various broadband access network users, as well as an
increasingly competitive market, each big telecommunication operators began
increasing emphasis business information promotion service for broadband users.
Due to the business information needed to promote the huge and multifarious, how to
handle the relevant data efficiently, and improve the efficiency of the push and
pertinence, becomes the effective ways to each big telecommunication operators to
consolidate market competitiveness. For example, studying how the fixed-line
broadband services for different user groups, to realize the differentiation of telecom
products recommended service. And applied to the telecom broadband customers
information push system, is one of the highlights in agro-scientific research in the
current telecom operators.
Through this article analysis and research the product promotion data and push
mode from the existing telecommunications push systems, to familiar with the
telecom recommend product features and deficiencies of the existing data push mode.
And then go into details of association rule data mining theory. And in-depth research
and analysis based on multidimensional and project compression for telecom
recommended product data characteristics of the Apriori algorithm; Then, in view of
the exponential growth products recommended amount of data, that leads to the
algorithm performance limitations of problem. Proposed based on cloud computing
MR_AprioriDpc parallel mining algorithm of Hadoop platform, and applied to
products recommended by the association rules mining. Finally, the mining results are
applied to broadband customer information push system, and design and implement
the relevant function module.
In this paper, the main innovation:
(1) Based on the telecom product recommendations, design with association
rules analysis, push the task function of custom and the custom push three custom
push function module, and in telecom broadband customers information push system
implementation;
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