%0 Journal Article %1 heinrich2021process %A Heinrich, Kai %A Zschech, Patrick %A Janiesch, Christian %A Bonin, Markus %D 2021 %J Decision Support Systems %K bpm bwljp1 myown %P 113494 %R 10.1016/j.dss.2021.113494 %T Process Data Properties Matter: Introducing Gated Convolutional Neural Networks (GCNN) and Key-Value-Predict Attention Networks (KVP) for Next Event Prediction with Deep Learning %V 143

@article{heinrich2021process, added-at = {2021-01-08T15:59:25.000+0100}, author = {Heinrich, Kai and Zschech, Patrick and Janiesch, Christian and Bonin, Markus}, biburl = {https://www.bibsonomy.org/bibtex/260fe84929a26a3817b7aba451691ca47/famerlor}, doi = {10.1016/j.dss.2021.113494}, interhash = {bffcea0f2bc174cdf4cdac7d28f129ba}, intrahash = {60fe84929a26a3817b7aba451691ca47}, journal = {Decision Support Systems}, keywords = {bpm bwljp1 myown}, pages = 113494, timestamp = {2022-10-26T12:35:03.000+0200}, title = {Process Data Properties Matter: Introducing Gated Convolutional Neural Networks (GCNN) and Key-Value-Predict Attention Networks (KVP) for Next Event Prediction with Deep Learning}, volume = 143, year = 2021 }