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Algorithms for Data and Process Mining
This paper introduces a problem based classification for mining algorithms. Proposed classification specifies which algorithm is more suitable for the solution of which type of problems. It covers the most spectrum of issues and problems related to data mining starting from data preparation, to actu...
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| Published in: | FAIMA Business & Management Journal 2018-06, Vol.6 (2), p.45-56 |
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| Language: | English |
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| container_end_page | 56 |
| container_issue | 2 |
| container_start_page | 45 |
| container_title | FAIMA Business & Management Journal |
| container_volume | 6 |
| creator | Zayoud, Maha Kotb, Yehia Ionescu, Sorin |
| description | This paper introduces a problem based classification for mining algorithms. Proposed classification specifies which algorithm is more suitable for the solution of which type of problems. It covers the most spectrum of issues and problems related to data mining starting from data preparation, to actual mining, to result in interpretation and ending with result verification. Result verification is the process of verifying the correctness and consistency of the knowledge generated out of mining. The differences between data and process mining paradigms are highlighted and discussed in this paper. An explanation of well-known algorithms for data and process mining is presented, these algorithms are influential to the research community. |
| format | article |
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| identifier | ISSN: 2344-4088 |
| ispartof | FAIMA Business & Management Journal, 2018-06, Vol.6 (2), p.45-56 |
| issn | 2344-4088 |
| language | eng |
| recordid | cdi_proquest_journals_2078624968 |
| source | EBSCOhost Business Source Ultimate; ABI/INFORM Global |
| subjects | Algorithms Big Data Data mining Datasets Information systems Knowledge discovery Management information systems Methods Sentiment analysis Social network analysis Social networks Studies |
| title | Algorithms for Data and Process Mining |
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