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Machine learning and data mining
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Logic learning machine (LLM) is a machine learning method based on the generation of intelligible rules. LLM is an efficient implementation of the Switching Neural Network (SNN) paradigm,^[1] developed by Marco Muselli, Senior Researcher at the Italian National Research Council CNR-IEIIT in Genoa.

LLM has been employed in many different sectors, including the field of medicine (orthopedic patient classification,^[2] DNA micro-array analysis ^[3] and Clinical Decision Support Systems ^[4]), financial services and supply chain management.

^ Muselli, Marco (2006). "Switching Neural Networks: A new connectionist model for classification" (PDF). WIRN 2005 and NAIS 2005, Lecture Notes on Computer Science. 3931: 23–30.
^ Mordenti, M.; Ferrari, E.; Pedrini, E.; Fabbri, N.; Campanacci, L.; Muselli, M.; Sangiorgi, L. (2013). "Validation of a New Multiple Osteochondromas Classification Through Switching Neural Networks". American Journal of Medical Genetics Part A. 161 (3): 556–560. doi:10.1002/ajmg.a.35819. PMID 23401177. S2CID 23983960.
^ Cangelosi, D.; Muselli, M.; Blengio, F.; Becherini, P.; Versteeg, R.; Conte, M.; Varesio, L. (2013). "Use of Attribute Driven Incremental Discretization and Logic Learning Machine to build a prognostic classifier for neuroblastoma patients". Bits2013. 15 (Suppl 5): S4. doi:10.1186/1471-2105-15-S5-S4. PMC 4095004. PMID 25078098.
^ Parodi, S.; Filiberti, R.; Marroni, P.; Montani, E.; Muselli, M. (2014). "Differential diagnosis of pleural mesothelioma using Logic Learning Machine". Bits2014. 16 (Suppl 9): S3. doi:10.1186/1471-2105-16-S9-S3. PMC 4464205. PMID 26051106.