ProM
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Introduction #

ProM is an extensible framework that supports a wide variety of process mining techniques in the form of plug-ins. It is platform independent as it is implemented in Java, and can be downloaded free of charge. The ProM framework receives input logs in the Mining XML (MXML) format.

Currently, there are already more than 230 plug-ins available, and ProM supports the import of (and the conversion between) several process modelling languages, such as:

  • Petri nets (PNML, TPN)
  • EPCs / EPKs (Aris graph format, EPML)
  • YAWL
  • (and many more)

    There are mining (process discovery) plugins, such as:

  • Plugins supporting control-flow mining techniques (such as the Alpha algorithm, Genetic mining, Multi-phase mining, ...)
  • Plugins analysing the organizational perspective (such as the Social Network miner, the Staff Assignment miner, ...)
  • Plugins dealing with the data perspective (such as the Decision miner, ...)
  • Plugins for mining less-structured, flexible processes (such as the Fuzzy Miner)
  • Elaborate data visualization plugins (such as the Cloud Chamber Miner)
  • (and many more)

    Furthermore, there are analysis plugins dealing with:

  • The verification of process models (e.g., Woflan analysis)
  • Verification of Linear Temporal Logic (LTL) formulas on a log
  • Checking the conformance between a given process model and a log
  • Performance analysis (Basic statistical analysis, and Performance Analysis with a given process model)

    Finally, ProM supports a large array of log filters, which are a valuable tool for cleaning logs from undesired, or unimportant, artefacts.

  • Applications #

    • 제조 및 운영관리 분야
      • 프로세스 마이닝을 이용한 고장수리 서비스 프로세스 분석
      • 제조협업성과분석을 위한 프로세스 웨어하우스
      • 제조협업을 위한 OLAP 기반의 비즈니스 프로세스 인텔리전스 시스템 설계
      • 비즈니스 인텔리전스를 위한 제조협업 데이터 웨어하우스 설계 및 구축
      • Constructing Probabilistic Process Models based on Hidden Markov Models for Resource Allocation
      • DTMiner: A Tool for Decision Making Based on Historical Process Data
      • Constructing Decision Trees from Process Logs for Performer Recommendation
      • Business Process Warehouse for Manufacturing Collaboration
    • Web 및 SNS 분야
      • 프로세스 마이닝을 이용한 웹 로그 분석
      • 프로세스 마이닝을 이용한 SNS에서의 정보 확산 패턴 분석
      • Discovering Users-Centric Hierarchical Process Models in Social Networking Services
    • Mobile/LBS/IoT 분야
      • 프로세스 마이닝을 이용한 위치 이력의 라이프 패턴 분석
      • 프로세스 마이닝을 이용한 RFID 로그 분석
      • RFID 추적을 위한 시간 기반 프로세스 마이닝
      • RFID 이벤트 분석을 위한 프로세스 마이닝 프레임워크
      • 유비쿼터스 프로세스 관리 아키텍처: RFID/USN을 중심으로
      • A Framework of Process Mining for RFID Event Analysis
      • A Framework of Process Mining for RFID Event Analysis

    Reference Site #



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