zahradbozorgi / prescriptiveMonitoringORF

Related projects ⓘ

Alternatives and complementary repositories for prescriptiveMonitoringORF

• zahradbozorgi / CausalRulesDiscovery
  https://arxiv.org/abs/2009.01561
  ☆22Updated last year
• Zaharah / processtransformer
  Transformer Network for Predictive Business Process Monitoring Tasks
  ☆38Updated last month
• irhete / predictive-monitoring-benchmark
  Comparative experimental evaluation of outcome-oriented predictive monitoring techniques on a benchmark consisting of 24 real-world datas…
  ☆32Updated 3 years ago
• StephenPauwels / edbn
  Repository containing all implementations and experiments for the EDBN model.
  ☆17Updated 3 years ago
• ocpm / ocpa
  ☆29Updated 6 months ago
• verenich / ProcessSequencePrediction
  ☆101Updated 5 years ago
• mbafrani / AutomaticProcessSimulation
  Automatic process simulation using Simpy and Pm4py.
  ☆16Updated 3 years ago
• francxx96 / declare4py
  A Python package for process-mining with DECLARE models.
  ☆15Updated 5 months ago
• f-zand / fig4pm
  This repository generates process mining event log features. Most of the features have been extracted from several process mining scienti…
  ☆12Updated 3 years ago
• irhete / PredictiveMonitoringWithText
  Scripts related to predictive business process monitoring framework with structured and unstructured (textual) data.
  ☆9Updated 6 years ago
• AdaptiveBProcess / GenerativeLSTM
  Learning Accurate Generative Models of Business Processes With LSTM Neural Networks
  ☆28Updated 7 months ago
• tnolle / binet
  This is the complementary code repository for the BINet papers.
  ☆23Updated 3 years ago
• gbrltv / business_process_encoding
  Business Process Encoding
  ☆12Updated 4 months ago
• annguy / time-aware-pbpm
  ☆11Updated 3 years ago
• marti5ini / GENCDA
  Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery
  ☆15Updated last year
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆51Updated last year
• ishwarvenugopal / GCN-ProcessPrediction
  A Deep Learning model for business process predictions. Preprint on arXiv: https://arxiv.org/abs/2102.07838
  ☆11Updated 3 years ago
• verenich / time-prediction-benchmark
  Benchmark evaluation for predictive monitoring of remaining cycle time of business processes
  ☆13Updated 2 years ago
• fau-is / grm
  ☆11Updated 2 years ago
• multi-dimensional-process-mining / eventgraph_tutorial
  A collection of tutorials for using Cypher and Neo4j for creating, querying, analyzing, and doing process mining with event knowledge gra…
  ☆39Updated 11 months ago
• causalgraph / causalgraph
  A python package for modeling, persisting and visualizing causal graphs embedded in knowledge graphs.
  ☆44Updated 11 months ago
• farbodtaymouri / GanPredictiveMonitoring
  ☆19Updated 2 years ago
• Baukebrenninkmeijer / table-evaluator
  Evaluate real and synthetic datasets against each other
  ☆80Updated last month
• delas / plg
  A Business Processes and Logs Generator
  ☆32Updated 9 months ago
• yesanton / Process-Drift-Visualization-With-Declare
  ☆11Updated 3 years ago
• Julian-Theis / PyDREAM
  Python Implementation of Decay Replay Mining (DREAM)
  ☆27Updated last year
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆42Updated 3 months ago
• emanuel-metzenthin / Lime-For-Time
  Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
  ☆95Updated 9 months ago
• proved-py / proved-core
  PROVED (PRocess mining OVer uncErtain Data) is a library of functionalities to perform process mining on uncertain event data.
  ☆12Updated last year
• zzzace2000 / GAMs
  Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…
  ☆12Updated 3 years ago