Matches in SemOpenAlex for { <https://semopenalex.org/work/W2995593521> ?p ?o ?g. }
- W2995593521 abstract "Process mining provides a rich set of techniques to discover valuable knowledge of business processes based on data that was recorded in different types of information systems. It enables analysis of end-to-end processes to facilitate process re-engineering and process improvement. Process mining techniques rely on the availability of data in the form of event logs. In order to enable process mining in diverse environments, the recorded data need to be located and transformed to event logs. The journey from raw data to event logs suitable for process mining can be addressed by a variety of methods and techniques, which are the focus of this article. In particular, techniques proposed in the literature to support the creation of event logs from raw data are reviewed and classified. This includes techniques for identification and extraction of the required event data from diverse sources as well as their correlation and abstraction. This article is categorized under: Technologies > Structure Discovery and Clustering Fundamental Concepts of Data and Knowledge > Data Concepts Technologies > Data Preprocessing" @default.
- W2995593521 created "2019-12-26" @default.
- W2995593521 creator A5030775852 @default.
- W2995593521 creator A5056825926 @default.
- W2995593521 creator A5070529144 @default.
- W2995593521 creator A5090696351 @default.
- W2995593521 date "2019-12-20" @default.
- W2995593521 modified "2023-10-16" @default.
- W2995593521 title "Extraction, correlation, and abstraction of event data for process mining" @default.
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- W2995593521 cites W1490485556 @default.
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- W2995593521 cites W1511214424 @default.
- W2995593521 cites W1517025580 @default.
- W2995593521 cites W1536788850 @default.
- W2995593521 cites W1607953426 @default.
- W2995593521 cites W1807096734 @default.
- W2995593521 cites W1818210683 @default.
- W2995593521 cites W1824264389 @default.
- W2995593521 cites W1885841618 @default.
- W2995593521 cites W1943320619 @default.
- W2995593521 cites W1957611259 @default.
- W2995593521 cites W1992979559 @default.
- W2995593521 cites W2009636439 @default.
- W2995593521 cites W2048391156 @default.
- W2995593521 cites W2094385143 @default.
- W2995593521 cites W2100115309 @default.
- W2995593521 cites W2101107197 @default.
- W2995593521 cites W2101238481 @default.
- W2995593521 cites W2105712473 @default.
- W2995593521 cites W2112129552 @default.
- W2995593521 cites W2117912850 @default.
- W2995593521 cites W2119309048 @default.
- W2995593521 cites W2122094161 @default.
- W2995593521 cites W2137302838 @default.
- W2995593521 cites W2138833087 @default.
- W2995593521 cites W2141935655 @default.
- W2995593521 cites W2145980427 @default.
- W2995593521 cites W2150614413 @default.
- W2995593521 cites W2153846040 @default.
- W2995593521 cites W2159561256 @default.
- W2995593521 cites W2163192934 @default.
- W2995593521 cites W2164449020 @default.
- W2995593521 cites W2170917993 @default.
- W2995593521 cites W2191015976 @default.
- W2995593521 cites W2195009777 @default.
- W2995593521 cites W221607738 @default.
- W2995593521 cites W2268480907 @default.
- W2995593521 cites W2293698103 @default.
- W2995593521 cites W2294320512 @default.
- W2995593521 cites W2299775049 @default.
- W2995593521 cites W2395298664 @default.
- W2995593521 cites W2460110227 @default.
- W2995593521 cites W2462439317 @default.
- W2995593521 cites W2468067389 @default.
- W2995593521 cites W2472724528 @default.
- W2995593521 cites W2484331096 @default.
- W2995593521 cites W2491930568 @default.
- W2995593521 cites W2504748297 @default.
- W2995593521 cites W2617135656 @default.
- W2995593521 cites W2617698946 @default.
- W2995593521 cites W2618422422 @default.
- W2995593521 cites W2624133163 @default.
- W2995593521 cites W2724199584 @default.
- W2995593521 cites W2736960842 @default.
- W2995593521 cites W2765758403 @default.
- W2995593521 cites W2767445902 @default.
- W2995593521 cites W2770379970 @default.
- W2995593521 cites W2783146113 @default.
- W2995593521 cites W2783321374 @default.
- W2995593521 cites W2784316933 @default.
- W2995593521 cites W2791775633 @default.
- W2995593521 cites W2804871241 @default.
- W2995593521 cites W2806702821 @default.
- W2995593521 cites W2808666411 @default.
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- W2995593521 cites W2885386218 @default.
- W2995593521 cites W2892026656 @default.
- W2995593521 cites W2898960942 @default.
- W2995593521 cites W2899730448 @default.
- W2995593521 cites W2913766885 @default.
- W2995593521 cites W2919356301 @default.
- W2995593521 cites W2963107557 @default.
- W2995593521 cites W4239400663 @default.
- W2995593521 cites W4243932450 @default.
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- W2995593521 doi "https://doi.org/10.1002/widm.1346" @default.
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