{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T18:36:32Z","timestamp":1772908592072,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":50,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T00:00:00Z","timestamp":1697846400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,21]]},"DOI":"10.1145\/3583780.3615042","type":"proceedings-article","created":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T07:45:26Z","timestamp":1697874326000},"page":"1971-1981","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Rule-based Knowledge Graph Completion with Canonical Models"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1926-6899","authenticated-orcid":false,"given":"Simon","family":"Ott","sequence":"first","affiliation":[{"name":"Bosch Center for Artificial Intelligence &amp; AIT Austrian Institute of Technology GmbH, Renningen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4948-3912","authenticated-orcid":false,"given":"Patrick","family":"Betz","sequence":"additional","affiliation":[{"name":"University Mannheim, Mannheim, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8654-5121","authenticated-orcid":false,"given":"Daria","family":"Stepanova","sequence":"additional","affiliation":[{"name":"Bosch Center for Artificial Intelligence, Renningen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0887-3522","authenticated-orcid":false,"given":"Mohamed H.","family":"Gad-Elrab","sequence":"additional","affiliation":[{"name":"Bosch Center for Artificial Intelligence, Renningen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0198-5396","authenticated-orcid":false,"given":"Christian","family":"Meilicke","sequence":"additional","affiliation":[{"name":"University Mannheim, Mannheim, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0209-3859","authenticated-orcid":false,"given":"Heiner","family":"Stuckenschmidt","sequence":"additional","affiliation":[{"name":"University Mannheim, Mannheim, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,10,21]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Proceedings of the Conference on Uncertainty in Artificial Intelligence. 372--382","author":"Alberto Garcia-Duran Mathias Niepert","year":"2018","unstructured":"Mathias Niepert Alberto Garcia-Duran . 2018 . KBlrn: End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features . In Proceedings of the Conference on Uncertainty in Artificial Intelligence. 372--382 . Mathias Niepert Alberto Garcia-Duran. 2018. KBlrn: End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features. In Proceedings of the Conference on Uncertainty in Artificial Intelligence. 372--382."},{"key":"e_1_3_2_2_2_1","volume-title":"Dbpedia: A nucleus for a web of open data. In The semantic web","author":"Auer S\u00f6ren","year":"2007","unstructured":"S\u00f6ren Auer , Christian Bizer , Georgi Kobilarov , Jens Lehmann , Richard Cyganiak , and Zachary Ives . 2007 . Dbpedia: A nucleus for a web of open data. In The semantic web . Springer , 722--735. S\u00f6ren Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, and Zachary Ives. 2007. Dbpedia: A nucleus for a web of open data. In The semantic web. Springer, 722--735."},{"key":"e_1_3_2_2_3_1","first-page":"510","article-title":"Comparing Rule Measures for Predictive Association Rules","volume":"4701","author":"Azevedo Paulo J.","year":"2007","unstructured":"Paulo J. Azevedo and Al'i pio M\u00e1 rio Jorge . 2007 . Comparing Rule Measures for Predictive Association Rules . In ECML , Vol. 4701. 510 -- 517 . Paulo J. Azevedo and Al'i pio M\u00e1 rio Jorge. 2007. Comparing Rule Measures for Predictive Association Rules. In ECML, Vol. 4701. 510--517.","journal-title":"ECML"},{"key":"e_1_3_2_2_4_1","volume-title":"Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","author":"Balazevic Ivana","year":"1865","unstructured":"Ivana Balazevic , Carl Allen , and Timothy Hospedales . 2019. TuckER: Tensor Factorization for Knowledge Graph Completion . In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . Association for Computational Linguistics , Hong Kong , China, 5185--5194. https:\/\/doi.org\/10. 1865 3\/v1\/D19--1522 10.18653\/v1 Ivana Balazevic, Carl Allen, and Timothy Hospedales. 2019. TuckER: Tensor Factorization for Knowledge Graph Completion. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, Hong Kong, China, 5185--5194. https:\/\/doi.org\/10.18653\/v1\/D19--1522"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.3390\/axioms11010017"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-06981-9_5"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1376616.1376746"},{"key":"e_1_3_2_2_8_1","unstructured":"Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in neural information processing systems. 2787--2795.  Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in neural information processing systems. 2787--2795."},{"key":"e_1_3_2_2_9_1","first-page":"765","article-title":"Inductive Logic Programming At 30","volume":"74","author":"Cropper Andrew","year":"2022","unstructured":"Andrew Cropper and Sebastijan Dumancic . 2022 . Inductive Logic Programming At 30 : A New Introduction. J. Artif. Intell. Res. , Vol. 74 (2022), 765 -- 850 . Andrew Cropper and Sebastijan Dumancic. 2022. Inductive Logic Programming At 30: A New Introduction. J. Artif. Intell. Res., Vol. 74 (2022), 765--850.","journal-title":"A New Introduction. J. Artif. Intell. Res."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11573"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623623"},{"key":"e_1_3_2_2_12_1","volume-title":"Application of concepts of neighbours to and knowledge graph completion. Data Science","author":"Ferr\u00e9 S\u00e9bastien","year":"2000","unstructured":"S\u00e9bastien Ferr\u00e9 . 2020. Application of concepts of neighbours to and knowledge graph completion. Data Science , Vol. Preprint (2020), 1-- 28 . https:\/\/doi.org\/10.3233\/DS- 2000 30 Preprint . 10.3233\/DS-200030 S\u00e9bastien Ferr\u00e9. 2020. Application of concepts of neighbours to and knowledge graph completion. Data Science, Vol. Preprint (2020), 1--28. https:\/\/doi.org\/10.3233\/DS-200030 Preprint."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-015-0394-1"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2488388.2488425"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"crossref","unstructured":"Bart Goethals and Jan Van den Bussche. 2002. Relational Association Rules: Getting WARMeR. In Pattern Detection and Discovery. 125--139.  Bart Goethals and Jan Van den Bussche. 2002. Relational Association Rules: Getting WARMeR. In Pattern Detection and Discovery. 125--139.","DOI":"10.1007\/3-540-45728-3_10"},{"key":"e_1_3_2_2_16_1","volume-title":"Towards Learning Instantiated Logical Rules from Knowledge Graphs. arxiv","author":"Gu Yulong","year":"2003","unstructured":"Yulong Gu , Yu Guan , and Paolo Missier . 2020. Towards Learning Instantiated Logical Rules from Knowledge Graphs. arxiv : 2003 .06071 [cs.AI] Yulong Gu, Yu Guan, and Paolo Missier. 2020. Towards Learning Instantiated Logical Rules from Knowledge Graphs. arxiv: 2003.06071 [cs.AI]"},{"key":"e_1_3_2_2_17_1","volume-title":"Proceedings of the 2010 ACM Symposium on Applied Computing (SAC). ACM, 1039--1046","author":"Heravi Mojdeh Jalali","unstructured":"Mojdeh Jalali Heravi and Osmar R . Za\"i ane. 2010. A study on interestingness measures for associative classifiers . In Proceedings of the 2010 ACM Symposium on Applied Computing (SAC). ACM, 1039--1046 . Mojdeh Jalali Heravi and Osmar R. Za\"i ane. 2010. A study on interestingness measures for associative classifiers. In Proceedings of the 2010 ACM Symposium on Applied Computing (SAC). ACM, 1039--1046."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00671-6_5"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.5555\/3031929.3031995"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-49461-2_3"},{"key":"e_1_3_2_2_21_1","volume-title":"CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules","author":"Li Wenmin","year":"2001","unstructured":"Wenmin Li , Jiawei Han , and Jian Pei . 2001 . CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules . In IEEE. IEEE Computer Society , 369--376. Wenmin Li, Jiawei Han, and Jian Pei. 2001. CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules. In IEEE. IEEE Computer Society, 369--376."},{"key":"e_1_3_2_2_22_1","volume-title":"KDD","author":"Megiddo Nimrod","year":"1999","unstructured":"Nimrod Megiddo and Ramakrishnan Srikant . 1998. Discovering Predictive Association Rules . In KDD 1999 , Rakesh Agrawal, Paul E. Stolorz, and Gregory Piatetsky-Shapiro (Eds.). AAAI Press , 274--278. Nimrod Megiddo and Ramakrishnan Srikant. 1998. Discovering Predictive Association Rules. In KDD 1999, Rakesh Agrawal, Paul E. Stolorz, and Gregory Piatetsky-Shapiro (Eds.). AAAI Press, 274--278."},{"key":"e_1_3_2_2_23_1","volume-title":"3rd Conference on Automated Knowledge Base Construction.","author":"Meilicke Christian","year":"2021","unstructured":"Christian Meilicke , Patrick Betz , and Heiner Stuckenschmidt . 2021 . Why a naive way to combine symbolic and latent knowledge base completion works surprisingly well . In 3rd Conference on Automated Knowledge Base Construction. Christian Meilicke, Patrick Betz, and Heiner Stuckenschmidt. 2021. Why a naive way to combine symbolic and latent knowledge base completion works surprisingly well. In 3rd Conference on Automated Knowledge Base Construction."},{"key":"e_1_3_2_2_24_1","volume-title":"Patrick Betz, Manuel Fink, and Heiner Stuckenschmidt.","author":"Meilicke Christian","year":"2023","unstructured":"Christian Meilicke , Melisachew Wudage Chekol , Patrick Betz, Manuel Fink, and Heiner Stuckenschmidt. 2023 . Anytime Bottom-Up Rule Learning for Large Scale Knowledge Graph Completion. Under Submission in: The VLDB Journal-The International Journal on Very Large Data Bases ( 2023). Christian Meilicke, Melisachew Wudage Chekol, Patrick Betz, Manuel Fink, and Heiner Stuckenschmidt. 2023. Anytime Bottom-Up Rule Learning for Large Scale Knowledge Graph Completion. Under Submission in: The VLDB Journal-The International Journal on Very Large Data Bases (2023)."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/435"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00671-6_1"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF03037089"},{"key":"e_1_3_2_2_28_1","first-page":"809","article-title":"A Three-Way Model for Collective Learning on Multi-Relational Data","volume":"11","author":"Nickel Maximilian","year":"2011","unstructured":"Maximilian Nickel , Volker Tresp , and Hans-Peter Kriegel . 2011 . A Three-Way Model for Collective Learning on Multi-Relational Data . In ICML , Vol. 11. 809 -- 816 . Maximilian Nickel, Volker Tresp, and Hans-Peter Kriegel. 2011. A Three-Way Model for Collective Learning on Multi-Relational Data. In ICML, Vol. 11. 809--816.","journal-title":"ICML"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3329781.3332266"},{"key":"e_1_3_2_2_30_1","volume-title":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI-18","author":"Omran Pouya Ghiasnezhad","year":"2018","unstructured":"Pouya Ghiasnezhad Omran , Kewen Wang , and Zhe Wang . 2018 . Scalable Rule Learning via Learning Representation . In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI-18 . International Joint Conferences on Artificial Intelligence Organization, 2149--2155. https:\/\/doi.org\/10.24963\/ijcai. 2018\/297 10.24963\/ijcai.2018 Pouya Ghiasnezhad Omran, Kewen Wang, and Zhe Wang. 2018. Scalable Rule Learning via Learning Representation. In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI-18. International Joint Conferences on Artificial Intelligence Organization, 2149--2155. https:\/\/doi.org\/10.24963\/ijcai.2018\/297"},{"key":"e_1_3_2_2_31_1","volume-title":"3rd Conference on Automated Knowledge Base Construction. https:\/\/openreview.net\/forum?id=jCt9S_3w_S9","author":"Ott Simon","year":"2021","unstructured":"Simon Ott , Christian Meilicke , and Matthias Samwald . 2021 . SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models . In 3rd Conference on Automated Knowledge Base Construction. https:\/\/openreview.net\/forum?id=jCt9S_3w_S9 Simon Ott, Christian Meilicke, and Matthias Samwald. 2021. SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models. In 3rd Conference on Automated Knowledge Base Construction. https:\/\/openreview.net\/forum?id=jCt9S_3w_S9"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1142\/S0219649221500106"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.3233\/SW-160218"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"crossref","unstructured":"Judea Pearl. 1988. Probabilistic reasoning in intelligent systems: networks of plausible inference. Morgan kaufmann.  Judea Pearl. 1988. Probabilistic reasoning in intelligent systems: networks of plausible inference. Morgan kaufmann.","DOI":"10.1016\/B978-0-08-051489-5.50008-4"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i03.5690"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3424672"},{"key":"e_1_3_2_2_37_1","volume-title":"International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=BkxSmlBFvr","author":"Ruffinelli Daniel","year":"2020","unstructured":"Daniel Ruffinelli , Samuel Broscheit , and Rainer Gemulla . 2020 . You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings . In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=BkxSmlBFvr Daniel Ruffinelli, Samuel Broscheit, and Rainer Gemulla. 2020. You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=BkxSmlBFvr"},{"key":"e_1_3_2_2_38_1","volume-title":"Advances in Neural Information Processing Systems","volume":"32","author":"Sadeghian Ali","year":"2019","unstructured":"Ali Sadeghian , Mohammadreza Armandpour , Patrick Ding , and Daisy Zhe Wang . 2019 . DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs . In Advances in Neural Information Processing Systems , Vol. 32 . Curran Associates, Inc. https:\/\/proceedings.neurips.cc\/paper\/ 2019\/file\/0c72cb7ee1512f800abe27823a792d03-Paper.pdf Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, and Daisy Zhe Wang. 2019. DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs. In Advances in Neural Information Processing Systems, Vol. 32. Curran Associates, Inc. https:\/\/proceedings.neurips.cc\/paper\/2019\/file\/0c72cb7ee1512f800abe27823a792d03-Paper.pdf"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.669"},{"key":"e_1_3_2_2_40_1","volume-title":"Proceedings of the ICLR","author":"Sun Zhiqing","year":"2019","unstructured":"Zhiqing Sun , Zhi-Hong Deng , Jian-Yun Nie , and Jian Tang . 2019 . Rotate: Knowledge graph embedding by relational rotation in complex space . In Proceedings of the ICLR 2019. Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang. 2019. Rotate: Knowledge graph embedding by relational rotation in complex space. In Proceedings of the ICLR 2019."},{"key":"e_1_3_2_2_41_1","volume-title":"ISWC","volume":"10587","author":"Tanon Thomas Pellissier","year":"2017","unstructured":"Thomas Pellissier Tanon , Daria Stepanova , Simon Razniewski , Paramita Mirza , and Gerhard Weikum . 2017 . Completeness-Aware Rule Learning from Knowledge Graphs . In ISWC 2017, Vol. 10587 . 507--525. Thomas Pellissier Tanon, Daria Stepanova, Simon Razniewski, Paramita Mirza, and Gerhard Weikum. 2017. Completeness-Aware Rule Learning from Knowledge Graphs. In ISWC 2017, Vol. 10587. 507--525."},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W15-4007"},{"key":"e_1_3_2_2_43_1","volume-title":"Towards Nonmonotonic Relational Learning from Knowledge Graphs","author":"Tran Hai Dang","unstructured":"Hai Dang Tran , Daria Stepanova , Mohamed H. Gad-Elrab , Francesca A. Lisi , and Gerhard Weikum . 2016. Towards Nonmonotonic Relational Learning from Knowledge Graphs . In ILP, James Cussens and Alessandra Russo (Eds.), Vol. 10326 . Springer , 94--107. Hai Dang Tran, Daria Stepanova, Mohamed H. Gad-Elrab, Francesca A. Lisi, and Gerhard Weikum. 2016. Towards Nonmonotonic Relational Learning from Knowledge Graphs. In ILP, James Cussens and Alessandra Russo (Eds.), Vol. 10326. Springer, 94--107."},{"key":"e_1_3_2_2_44_1","volume-title":"International Conference on Machine Learning. 2071--2080","author":"Trouillon Th\u00e9o","year":"2016","unstructured":"Th\u00e9o Trouillon , Johannes Welbl , Sebastian Riedel , \u00c9ric Gaussier , and Guillaume Bouchard . 2016 . Complex embeddings for simple link prediction . In International Conference on Machine Learning. 2071--2080 . Th\u00e9o Trouillon, Johannes Welbl, Sebastian Riedel, \u00c9ric Gaussier, and Guillaume Bouchard. 2016. Complex embeddings for simple link prediction. In International Conference on Machine Learning. 2071--2080."},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/2629489"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2754499"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.24963\/kr.2022\/51"},{"key":"e_1_3_2_2_48_1","volume-title":"Embedding entities and relations for learning and inference in knowledge bases. arXiv preprint arXiv:1412.6575","author":"Yang Bishan","year":"2014","unstructured":"Bishan Yang , Wen-tau Yih, Xiaodong He , Jianfeng Gao , and Li Deng . 2014. Embedding entities and relations for learning and inference in knowledge bases. arXiv preprint arXiv:1412.6575 ( 2014 ). Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2014. Embedding entities and relations for learning and inference in knowledge bases. arXiv preprint arXiv:1412.6575 (2014)."},{"key":"e_1_3_2_2_49_1","volume-title":"Cohen","author":"Yang Fan","year":"2017","unstructured":"Fan Yang , Zhilin Yang , and William W . Cohen . 2017 . Differentiable Learning of Logical Rules for Knowledge Base Reasoning. In NIPS. 2319--2328. Fan Yang, Zhilin Yang, and William W. Cohen. 2017. Differentiable Learning of Logical Rules for Knowledge Base Reasoning. In NIPS. 2319--2328."},{"key":"e_1_3_2_2_50_1","volume-title":"CPAR: Classification based on Predictive Association Rules. In Proceedings of the Third SIAM International Conference on Data Mining","author":"Yin Xiaoxin","year":"2003","unstructured":"Xiaoxin Yin and Jiawei Han . 2003 . CPAR: Classification based on Predictive Association Rules. In Proceedings of the Third SIAM International Conference on Data Mining , San Francisco, CA, USA , May 1--3, 2003, Daniel Barbar\u00e1 and Chandrika Kamath (Eds.). SIAM , 331--335. Xiaoxin Yin and Jiawei Han. 2003. CPAR: Classification based on Predictive Association Rules. In Proceedings of the Third SIAM International Conference on Data Mining, San Francisco, CA, USA, May 1--3, 2003, Daniel Barbar\u00e1 and Chandrika Kamath (Eds.). SIAM, 331--335."}],"event":{"name":"CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management","location":"Birmingham United Kingdom","acronym":"CIKM '23","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 32nd ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583780.3615042","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3583780.3615042","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:36:56Z","timestamp":1750178216000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583780.3615042"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,21]]},"references-count":50,"alternative-id":["10.1145\/3583780.3615042","10.1145\/3583780"],"URL":"https:\/\/doi.org\/10.1145\/3583780.3615042","relation":{},"subject":[],"published":{"date-parts":[[2023,10,21]]},"assertion":[{"value":"2023-10-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}