Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Discovering hidden tasks and process structure through email logs for DSM

Lan, Lijun, Liu, Ying and Lu, W. F. 2015. Discovering hidden tasks and process structure through email logs for DSM. Journal of Modern Project Management 3 , pp. 24-31.

Full text not available from this repository.

Abstract

The design structure matrix (DSM) method is a powerful network modelling tool to highlight the system architecture via presenting the interactions between the elements comprising a system. In DSM, measuring the interaction strength between elements is the first and crucial step. However, since the system elements are generally pre-identified by experts, their interaction relationships are often obtained from experts’ evaluation, which is time consuming and error-prone. To address this critical issue, in this paper, we aim to discover the hidden tasks of a process and their interactions from email logs with domain-specific contents. To this purpose, we have proposed a three-stage numerical DSM modeling approach, where text mining and clustering techniques are studied to discover hidden tasks. Furthermore, a metric concerning the measurement of interaction strength based on the overlapping time and the volume of exchanged information is presented. A case study is provided based on the emails collected from a design project.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Last Modified: 11 Mar 2019 16:54
URI: http://orca.cf.ac.uk/id/eprint/88433

Citation Data

Cited 1 time in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item