Add to ORKGDecision mining enriches process models with rules underlying decisions in processes using historical process execution data. Choices between multiple activities are specified through rules defined over process data. Existing decision mining methods focus on discovering mutually-exclusive rules, which only allow one out of multiple activities to be performed. These methods assume that decision making is fully deterministic, and all factors influencing decisions are recorded. In case the underlying decision rules are overlapping due to non-determinism or incomplete information, the rules returned by existing methods do not fit the recorded data well. This paper proposes a new technique to discover overlapping decision rules, which fit the re...
Process discovery, i.e., learning process models from event logs, has attracted the attention of res...
Process discovery, i.e., learning process models from event logs, has attracted the attention of res...
Process discovery, i.e., learning process models from event logs, has attracted the attention of res...
Decision mining enriches process models with rules underlying decisions in processes using historica...
Decision mining enriches process models with rules underlying decisions in processes using historica...
Decision mining enriches process models with rules underlying decisions in processes using historica...
Decision mining enriches process models with rules underlying decisions in processes using historica...
Decision mining enriches process models with rules underlying decisions in processes using historica...
Decision mining enriches process models with rules underlying decisions in processes using historica...
Decision mining enriches process models with rules underlying decisions in processes using historica...
The term Decision Mining has been put forward in literature to cover numerous applications in a dive...
Process discovery, i.e., learning process models from event logs, has attracted the attention of res...
Process discovery, i.e., learning process models from event logs, has attracted the attention of res...
The term Decision Mining has been put forward in literature to cover numerous applications in a dive...
This paper describes the use of decision tree and rule induction in data mining applications. Of met...
Process discovery, i.e., learning process models from event logs, has attracted the attention of res...
Process discovery, i.e., learning process models from event logs, has attracted the attention of res...
Process discovery, i.e., learning process models from event logs, has attracted the attention of res...
Decision mining enriches process models with rules underlying decisions in processes using historica...
Decision mining enriches process models with rules underlying decisions in processes using historica...
Decision mining enriches process models with rules underlying decisions in processes using historica...
Decision mining enriches process models with rules underlying decisions in processes using historica...
Decision mining enriches process models with rules underlying decisions in processes using historica...
Decision mining enriches process models with rules underlying decisions in processes using historica...
Decision mining enriches process models with rules underlying decisions in processes using historica...
The term Decision Mining has been put forward in literature to cover numerous applications in a dive...
Process discovery, i.e., learning process models from event logs, has attracted the attention of res...
Process discovery, i.e., learning process models from event logs, has attracted the attention of res...
The term Decision Mining has been put forward in literature to cover numerous applications in a dive...
This paper describes the use of decision tree and rule induction in data mining applications. Of met...
Process discovery, i.e., learning process models from event logs, has attracted the attention of res...
Process discovery, i.e., learning process models from event logs, has attracted the attention of res...
Process discovery, i.e., learning process models from event logs, has attracted the attention of res...