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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shang Yun |
| Copyright Year | 2014 |
| Description | Author affiliation: Inf. Eng. Dept., Lanzhou Vocational Tech. Coll., Lanzhou, China (Shang Yun) |
| 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. |
| Starting Page | 923 |
| Ending Page | 926 |
| File Size | 345658 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479962396 |
| DOI | 10.1109/CIT.2014.173 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-09-11 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Data analysis Databases electromagnetism-like mechanism algorithm Set theory Big data rough set Data mining reduction big data Optimization |
| Content Type | Text |
| Resource Type | Article |
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