Dataset Groups Activity Stream Cyberattack Prediction Through Public Text Analysis and Mini-Theories Cyberattack Prediction Through Public Text Analysis and Mini-Theories is a dataset used for training machine learning models to predict cyberattacks. BibTex: @dataset{Ian_Perera_and_Jena_Hwang_and_Kevin_Bayas_and_Bonnie_Dorr_and_Yorick_Wilks_2024, abstract = {Cyberattack Prediction Through Public Text Analysis and Mini-Theories is a dataset used for training machine learning models to predict cyberattacks.}, author = {Ian Perera and Jena Hwang and Kevin Bayas and Bonnie Dorr and Yorick Wilks}, doi = {10.57702/ndbds1p5}, institution = {No Organization}, keyword = {'perception', 'reasoning', 'relation learning', 'single entity', 'single relation'}, month = {dec}, publisher = {TIB}, title = {Cyberattack Prediction Through Public Text Analysis and Mini-Theories}, url = {https://service.tib.eu/ldmservice/dataset/cyberattack-prediction-through-public-text-analysis-and-mini-theories}, year = {2024} }
