A comprehensive and automated approach to intelligent business processes execution analysis

Malu Castellanos, Fabio Casati, Umeshwar Dayal, Ming Chien Shan

Результат исследований: Материалы для журналаСтатья

50 Цитирования (Scopus)

Выдержка

A set of concepts and architectures that lay the foundation for providing users with intelligent analysis and predictions about business process executions is presented. The tools are able to provide users with information about why the quality of a process execution is low, what will be the outcome of a certain process, or how many processes will be started in future. The information is crucial to gain visibility into the process, understand or foresee problems and areas of optimization, and quickly identify solutions. Intelligent analysis and predictions are achieved by applying data mining techniques to process execution data.

Язык оригиналаАнглийский
Страницы (с-по)239-273
Число страниц35
ЖурналDistributed and Parallel Databases
Том16
Номер выпуска3
DOI
СостояниеОпубликовано - ноя 2004
Опубликовано для внешнего пользованияДа

Отпечаток

Visibility
Data mining
Industry
Business process
Prediction

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture
  • Information Systems and Management

Цитировать

A comprehensive and automated approach to intelligent business processes execution analysis. / Castellanos, Malu; Casati, Fabio; Dayal, Umeshwar; Shan, Ming Chien.

В: Distributed and Parallel Databases, Том 16, № 3, 11.2004, стр. 239-273.

Результат исследований: Материалы для журналаСтатья

Castellanos, Malu ; Casati, Fabio ; Dayal, Umeshwar ; Shan, Ming Chien. / A comprehensive and automated approach to intelligent business processes execution analysis. В: Distributed and Parallel Databases. 2004 ; Том 16, № 3. стр. 239-273.
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