A framework for Business Process Data Management based on Big Data Approach

被引：9

作者：

Hassani, Asma ^{[1
]}

Gahnouchi, Sonia Ayachi ^{[1
,2
]}

机构：

[1] ENSI, Lab RIADI GDL, Manouba, Tunisia

[2] High Inst Management Sousse, Sousse, Tunisia

来源：

CENTERIS 2017 - INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS / PROJMAN 2017 - INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT / HCIST 2017 - INTERNATIONAL CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, CENTERI | 2017年 / 121卷

关键词：

BPM; Business Process; big data; big data analytics; ANALYTICS; CHALLENGES;

D O I：

10.1016/j.procs.2017.11.096

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A business process (BP) refers to a set of activities carried out by humans to achieve one or more business goals. BPs are ubiquitous and occur in several sectors: marketing, healthcare, financial management and of course business. BPs generate a significant amount of data known as big data. In recent years, the management of business process models and data is very challenging. On one hand, business process must be powerful in terms of modeling. On another hand, big data analytics support to find suitable knowledge to enact business process models. In this paper, we will introduce an overview of our big data process-based approach that places big data and process in the same framework. (C) 2017 The Authors. Published by Elsevier B.V.

引用

页码：740 / 747

页数：8

共 20 条

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