DocumentCode :
189090
Title :
Research of Big Data Analysis on Rough Set and Electromagnetism-Like Mechanism Algorithm
Author :
Shang Yun
Author_Institution :
Inf. Eng. Dept., Lanzhou Vocational Tech. Coll., Lanzhou, China
fYear :
2014
fDate :
11-13 Sept. 2014
Firstpage :
923
Lastpage :
926
Abstract :
The data volume and the complexity of query and analysis are the main features of big data analysis. Rough set theory is led in to enhance information processing capacity, electromagnetism-like mechanism algorithm can also avoid local optimum search, big data analysis system based on three-tier structure is built to deal with noise processing deficiencies and uncertain factors on data collection in previous analysis techniques. Some challenging research problems in the future are discussed.
Keywords :
Big Data; data analysis; query processing; rough set theory; Big Data analysis; data collection; data volume; electromagnetism-like mechanism algorithm; information processing capacity; noise processing deficiencies; query complexity; rough set theory; three-tier structure; Algorithm design and analysis; Big data; Data analysis; Data mining; Databases; Optimization; Set theory; big data; electromagnetism-like mechanism algorithm; reduction; rough set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Technology (CIT), 2014 IEEE International Conference on
Conference_Location :
Xi´an
Type :
conf
DOI :
10.1109/CIT.2014.173
Filename :
6984780
Link To Document :
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