Process Miner - A Tool for Mining Process Schemes from Event-Based Data

نویسنده

  • Guido Schimm
چکیده

Today, process schemes are required for a lot of purposes. Extracting process schemes from event-based data is an alternative to creating them manually. Process Miner is a research prototype that can extract process schemes from event-based data. Its extracting procedure is a multistage data mining that uses a special process model. This paper outlines the main features of the tool and gives an insight into the theoretical background. Also, it describes shortly its implementation and outlines its experimental evaluation.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

FUZZY GRAVITATIONAL SEARCH ALGORITHM AN APPROACH FOR DATA MINING

The concept of intelligently controlling the search process of gravitational search algorithm (GSA) is introduced to develop a novel data mining technique. The proposed method is called fuzzy GSA miner (FGSA-miner). At first a fuzzy controller is designed for adaptively controlling the gravitational coefficient and the number of effective objects, as two important parameters which play major ro...

متن کامل

BPMN Miner 2.0: Discovering Hierarchical and Block-Structured BPMN Process Models

We present BPMN Miner 2.0: a tool that extracts hierarchical and block-structured BPMN process models from event logs. Given an event log in XES format, the tool partitions it into sub-logs (one per subprocess) and discovers a BPMN process model from each sub-log using existing techniques for discovering BPMN process models via heuristics nets or Petri nets. A drawback of these techniques is th...

متن کامل

Composite State Machine Miner: Discovering and Exploring Multi-perspective Processes

Process mining provides fact-based insights into processes based on behaviour captured in event data. An important aspect of this is the discovery of process models from such data. Traditionally, the focus of process discovery is on learning the ordering of activities. We deviate from this dominating activity view on processes to focus on states and state changes. Specifically, we aim to discov...

متن کامل

Composite state machine miner

Process mining provides fact-based insights into processes based on behaviour captured in event data. An important aspect of this is the discovery of process models from such data. Traditionally, the focus of process discovery is on learning the ordering of activities. We deviate from this dominating activity view on processes to focus on states and state changes. Specifically, we aim to discov...

متن کامل

Business Process Mining Using Iterated Local Search

This paper introduces ILS Miner, a novel method for discovering process models from event logs using iterated local search. A comparison between ILS Miner, GLS Miner and HeuristicMiner is presented in this paper. GLS Miner was chosen because applies Guided Local Search for discovering process models from event logs, HeuristicMiner[10] being a legacy method in business process discovery. It is s...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002