SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A multi-perspective approach for the analysis of complex business processes behavior
16 references·1 citing·38 second hop
A multi-perspective approach for the analysis of complex business processes behavior (2021)A multi-perspective approach for the anal…Process mining techniques and applications – A systematic mapping study (2019)Process mining techniques and…Time and activity sequence prediction of business process instances (2018)Time and activity sequence pr…BINet: Multivariate Business Process Anomaly Detection Using Deep Learning (2018)BINet: Multivariate Business …Analyzing business process anomalies using autoencoders (2018)Analyzing business process an…A Novel Business Process Prediction Model Using a Deep Learning Method (2018)A Novel Business Process Pred…Predicting process behaviour using deep learning (2017)Predicting process behaviour …Natural Scales in Geographical Patterns (2017)Natural Scales in Geographica…LSTM networks for data-aware remaining time prediction of business process instances (2017)LSTM networks for data-aware …Process Mining: Data Science in Action (2016)Process Mining: Data Science …Process Mining for the multi-faceted analysis of business processes—A case study in a financial services organization (2012)Process Mining for the multi-…A business process mining application for internal transaction fraud mitigation (2011)A business process mining app…Enterprise, Business-Process and Information Systems Modeling (2009)Enterprise, Business-Process …Context Aware Trace Clustering: Towards Improving Process Mining Results (2009)Context Aware Trace Clusterin…Anomaly Detection Using Process Mining (2009)Anomaly Detection Using Proce…A process-mining framework for the detection of healthcare fraud and abuse (2005)A process-mining framework fo…Multi-phase Process Mining: Building Instance Graphs (2004)Multi-phase Process Mining: B…Can recurrent neural networks learn process model structure? (2022)Can recurrent neural networks…Discovering models of software processes from event-based data (1998)Workflow mining: A survey of issues and approaches (2003)Workflow mining: discovering process models from event logs (2004)Approaching Process Mining with Sequence Clustering: Experiments and Findings (2007)Process Mining Framework for Software Processes (2007)Process Mining Applied to the Test Process of Wafer Scanners in ASML (2009)Business process mining: An industrial application (2006)Trace Clustering in Process Mining (2009)Active Trace Clustering for Improved Process Discovery (2013)Wanna improve process mining results? (2013)Building a complementary agenda for business process management and digital innovation (2020)Business Process Management: A Survey (2003)Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics (2007)Interval type 2-based hybrid fuzzy evaluation of financial services in E7 economies with DEMATEL-ANP and MOORA methods (2019)Adoption, use and management of process mining in practice (2020)Process Science in Action: A Literature Review on Process Mining in Business Management (2021)The ProM Framework: A New Era in Process Mining Tool Support (2005)Comprehensive rule-based compliance checking and risk management with process mining (2012)Queueing Networks and Markov Chains: Modeling and Performance Evaluation with Computer Science Applications (2000)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Activity Prediction of Business Process Instances with Inception CNN Models (2019)Creating business value with process mining (2022)Predictive Process Monitoring (2022)Flexible Heuristics Miner (FHM) (2011)Replaying history on process models for conformance checking and performance analysis (2012)Decision support from financial disclosures with deep neural networks and transfer learning (2017)Learning Accurate LSTM Models of Business Processes (2019)Process Mining Manifesto (2012)A Survey on Concept Drift in Process Mining (2021)Process mining in healthcare – An updated perspective on the state of the art (2022)Process mining techniques: an application to stroke care. (2008)On mining clinical pathway patterns from medical behaviors (2012)Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities (2020)Process mining for healthcare: Characteristics and challenges (2022)Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)High Dimensional Change Point Estimation via Sparse Projection (2017)Mapping social dynamics on Facebook: The Brexit debate (2017)
this work references cited by second hop

References

  • 2017Natural Scales in Geographical Patterns1,120 cited
  • 2016Process Mining: Data Science in Action866 cited
  • 2017Predicting process behaviour using deep learning430 cited
  • 2019Process mining techniques and applications – A systematic mapping study335 cited
  • 2005A process-mining framework for the detection of healthcare fraud and abuse258 cited
  • 2009Context Aware Trace Clustering: Towards Improving Process Mining Results252 cited
  • 2011A business process mining application for internal transaction fraud mitigation175 cited
  • 2004Multi-phase Process Mining: Building Instance Graphs148 cited
  • 2018Time and activity sequence prediction of business process instances138 cited
  • 2012Process Mining for the multi-faceted analysis of business processes—A case study in a financial services organization129 cited
  • 2009Enterprise, Business-Process and Information Systems Modeling128 cited
  • 2017LSTM networks for data-aware remaining time prediction of business process instances118 cited
  • 2018Analyzing business process anomalies using autoencoders112 cited
  • 2009Anomaly Detection Using Process Mining106 cited
  • 2018A Novel Business Process Prediction Model Using a Deep Learning Method

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

104 cited
  • 2018BINet: Multivariate Business Process Anomaly Detection Using Deep Learning88 cited
  • Cited by

    • 2022Can recurrent neural networks learn process model structure?18 cited