Results 51 to 60 of about 21,359,437 (311)
From zero to hero: A process mining tutorial [PDF]
, 2017 Process mining is an emerging area that synergically combines model-based and data-oriented analysis techniques to obtain useful insights on how business processes are executed within an organization.
Janes, Andrea +3 more
core +1 more source
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs [PDF]
International Conference on Process Mining, 2020 This paper proposes an approach to analyze an event log of a business process in order to generate case-level recommendations of treatments that maximize the probability of a given outcome. Users classify the attributes in the event log into controllable
Z. Bozorgi +4 more
semanticscholar +1 more source
Energies, 2019 Recently, the use of photovoltaic (PV) cells and the increase in the number of photovoltaic power plants has led to a detailed examination of their operating parameters.
Dušan Kudelas +4 more
doaj +1 more source
Semantic process mining tools: core building blocks [PDF]
, 2008 Process mining aims at discovering new knowledge based on information hidden in event logs. Two important enablers for such analysis are powerful process mining techniques and the omnipresence of event logs in today's information systems.
de Medeiros, Ana Karla Alves +2 more
core
FEBS Open Bio, EarlyView.ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui +10 more
wiley +1 more source
Graph-Based Process Mining [PDF]
, 2021 Process mining is an area of research that supports discovering information about business processes from their execution event logs. The increasing amount of event logs in organizations challenges current process mining techniques, which tend to load data into the memory of a computer.
openaire +2 more sources
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
PMLAB: An scripting environment for process mining [PDF]
, 2014 In a decade of process mining research, several algorithms have been proposed to solve particular process mining tasks. At the same pace, tools have appeared both in the academic and the commercial domains.
Carmona Vargas, Josep, Solé, Marc
core
Low‐Angle Grain Boundaries and Re‐Segregation in Single‐Crystalline Ni‐Base Superalloys
Advanced Engineering Materials, EarlyView.This work demonstrates that Re‐segregation at low‐angle grain boundaries (LAGBs) in Ni‐base superalloys is influenced by misorientation angle. Advanced microscopy and atom probe tomography reveal that higher misorientation angles increases Re‐segregation.
Alireza B. Parsa +9 more
wiley +1 more source
AgricultureHeavy metal contamination of agricultural soils represents a critical environmental and agronomic challenge, particularly in regions exposed to intensive land use and transport-related emissions.
Ivanna Betušová +4 more
doaj +1 more source