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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Bibliographic Details
Published in:FAIMA Business & Management Journal 2018-06, Vol.6 (2), p.45-56
Main Authors: Zayoud, Maha, Kotb, Yehia, Ionescu, Sorin
Format: Article
Language:English
Subjects:
Algorithms
Big Data
Data mining
Datasets
Information systems
Knowledge discovery
Management information systems
Methods
Sentiment analysis
Social network analysis
Social networks
Studies
Online Access:Get full text
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Summary: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.
ISSN:2344-4088