TY - BOOK
T1 - EMailAnalyzer : an e-mail mining plug-in for the ProM framework
AU - Aalst, van der, W.M.P.
AU - Nikolov, A.
PY - 2007
Y1 - 2007
N2 - Increasingly information systems log historic information in
a systematic way. Work°ow management systems, but also ERP, CRM,
SCM, and B2B systems often provide a so-called \event log", i.e., a log
recording the execution of activities. Thus far, process mining has been
focusing on such structured event logs resulting in powerful analysis tech-
niques and tools for discovering process, control, data, organizational,
and social structures from event logs. Unfortunately, many work pro-
cesses are not supported by systems providing structured logs. Instead
very basic tools such as a text editors, spreadsheets, and e-mail are used.
This report explores the application of process mining to e-mail, i.e., un-
structured or semi-structured e-mail messages are converted in event logs
suitable for the application of process mining tools. This report presents
the tool EMailAnalyzer which analyzes and transforms e-mail messages
in MS Outlook to a format that can be used by our process mining tools.
The main innovative aspect of this work is that our analysis is not re-
stricted to the social network, the main goal is to discover interaction
patterns and processes.
AB - Increasingly information systems log historic information in
a systematic way. Work°ow management systems, but also ERP, CRM,
SCM, and B2B systems often provide a so-called \event log", i.e., a log
recording the execution of activities. Thus far, process mining has been
focusing on such structured event logs resulting in powerful analysis tech-
niques and tools for discovering process, control, data, organizational,
and social structures from event logs. Unfortunately, many work pro-
cesses are not supported by systems providing structured logs. Instead
very basic tools such as a text editors, spreadsheets, and e-mail are used.
This report explores the application of process mining to e-mail, i.e., un-
structured or semi-structured e-mail messages are converted in event logs
suitable for the application of process mining tools. This report presents
the tool EMailAnalyzer which analyzes and transforms e-mail messages
in MS Outlook to a format that can be used by our process mining tools.
The main innovative aspect of this work is that our analysis is not re-
stricted to the social network, the main goal is to discover interaction
patterns and processes.
M3 - Report
T3 - BPM reports
BT - EMailAnalyzer : an e-mail mining plug-in for the ProM framework
PB - BPMcenter. org
CY - Eindhoven
ER -