Data mining achieving method and system based on cloud computing

Abstract

The invention provides a data mining achieving method and system based on cloud computing. The data mining achieving method includes: a service platform function module receives mining service requests of users and data sources needing analyzing; a service data interactive module uploads the data sources to a file system of the mining computing module and generates mining computing script files according to the information of a mining model in the mining service requests; the mining computing module operates the computing script files to perform data mining on the data source needing analyzing and returns the mining results to a business interactive system; and the service interactive system returns the mining results to a service platform function module which supplies the mining results to users. The data mining achieving method and system achieves data mining service of software, namely a service (SaaS) model, provides uniform service interfaces for users, meets the service requirements of being multifunctional on one hand and on the other hand, does not need users to install and maintain hardware and software locally and reduces cost of users.

Description

【Technical field】 [0001] The invention relates to the technical field of computer networks, in particular to a method and system for implementing data mining based on cloud computing. 【Background technique】 [0002] Data mining is the process of extracting hidden, unknown, but potentially useful information and knowledge from a large amount of incomplete, noisy, fuzzy, and random practical application data. With the continuous growth of massive data, the demand for diversified and personalized data mining is becoming stronger and stronger, and the traditional centralized data mining method is no longer suitable. [0003] At present, traditional data mining methods mainly use local data mining models, such as SPSS (Statistical Product and Service Solutions) and SAS (Statistical Analysis System). However, this method requires customers to purchase hardware and software, install and maintain the system, requires a lot of initial capital investment, requires professional softwa...

AI Technical Summary

Problems solved by technology

However, for customers, this method needs to purchase hardware and software, install and maintain the system, requires a lot of capital investment in the early stage, and requires professional software use and maintenance personnel, and the equipment cannot be fully utilized when it is idle; for service providers, this The method cannot meet the service requirements of multiple users

[0004] With the advent of the era of cloud computing, cloud computing has become a solution to the traditional centralized data mining that is not suitable for the continuous growth of massive data due to its strong data processing capabilities, resource virtualization, high reliability, strong versatility, and good scalability. However, how to enable users to use data mining services in the cloud on demand, at a low price, and conveniently and quickly according to their business needs is a difficult point

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