Research Article
Research on Reduced Dimension Classification Algorithm of Complex Attribute Big Data in Cloud Computing
@INPROCEEDINGS{10.1007/978-3-030-36405-2_20, author={Wei Song and Yue Wang}, title={Research on Reduced Dimension Classification Algorithm of Complex Attribute Big Data in Cloud Computing}, proceedings={Advanced Hybrid Information Processing. Third EAI International Conference, ADHIP 2019, Nanjing, China, September 21--22, 2019, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2019}, month={11}, keywords={Cloud computing Complex attribute big data Dimensionality reduction classification}, doi={10.1007/978-3-030-36405-2_20} }- Wei Song
Yue Wang
Year: 2019
Research on Reduced Dimension Classification Algorithm of Complex Attribute Big Data in Cloud Computing
ADHIP PART 2
Springer
DOI: 10.1007/978-3-030-36405-2_20
Abstract
In order to improve the ability of data retrieval in cloud computing environment, a reduced dimension classification algorithm of complex attribute big data in cloud computing based on deep neural network learning is proposed. The complex attribute big data under cloud computing is constructed by low dimensional feature set, and the complex attribute big data under cloud computing is analyzed by linear programming and fitting using grid clustering method. Big data samples of all complex attributes are sampled and trained to extract the associated features of big data, which is a complex attribute under cloud computing. The feature extraction results of complex attribute big data under cloud computing are inputted into the deep neural network learner for data classification, and the complex attribute big data dimensionality reduction classification under cloud computing is realized by combining big data fusion clustering method. The simulation results show that the accuracy of big data dimension reduction classification for complex attributes in cloud computing is high and the error rate is small.
