LGMLDec 14, 2016

Predicting Process Behaviour using Deep Learning

arXiv:1612.04600v2397 citations
Originality Incremental advance
AI Analysis

This addresses the problem of business process management by providing a novel method for predicting process behavior, which is incremental as it applies existing deep learning techniques to a new domain.

The paper tackled predicting the next event in business processes using deep learning with recurrent neural networks, achieving results that surpass state-of-the-art in prediction precision on two real datasets.

Predicting business process behaviour is an important aspect of business process management. Motivated by research in natural language processing, this paper describes an application of deep learning with recurrent neural networks to the problem of predicting the next event in a business process. This is both a novel method in process prediction, which has largely relied on explicit process models, and also a novel application of deep learning methods. The approach is evaluated on two real datasets and our results surpass the state-of-the-art in prediction precision.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes