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In this paper, we do experiments on the data analysis process of FCM algorithm for large data In the cloud environment. Firstly, we introduced the drawbacks of traditional data analysis. Secondly, we proposed an improved fast clustering algorithm. It shows that the method is feasible. At last, we conducted a simulation experiment, which has shown that the performance of MapReduce based Canopy-FCM...
The popularity of the Internet has changed everything about the radio industry. With the deep integration between the radio and the Internet, the radio industry has faced great challenges to organize the large-scale audio dataset, build an flexile architecture, and recommend highly personalized content to users. To address these problems, we realize a lightweight web application of the Internet personalized...
For the widely existing document and relation mixed-type data, this paper proposes a system of storage and query for associated mixed-type data based on the distributed middleware. It adopts distributed middleware as technological tools to integrate databases of different types, which achieves adaptive and efficient data storage performance for document and relation type data. Furthermore, the hybrid...
Extraction of knowledge and predictive analysis are the new challenges for the rapidly growing large volume of data to make the right decision at right time. It is difficult to store, analyze and visualize such large data volume with its diversities with standard data mining tools. Hence, in this paper, we develop a MapReduce approach of a Parallel-Reduct algorithm based on the rough set theory for...
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