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Mining data logs by finding episodes using frequent item sets
| Content Provider | Semantic Scholar |
|---|---|
| Author | Arms, Dohn Alexander |
| Copyright Year | 2016 |
| Abstract | Data logs can be mined by using several types of sequential pattern mining algorithms. For the case I have, which is for logs generated by value changes withing a controls system, I need to use episode mining, of both the parallel and serial type. The episodes I am to mine also need to allow for repetition of items. The publicly available software did not fit my exact processing needs, so I worked out methods that would let me do episode mining using frequent itemset mining algorithms. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://wiki.illinois.edu/wiki/download/attachments/543398519/darms2_project.pdf?modificationDate=1462934157000&version=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |