01567nas a2200145   4500008004100000245010400041210006900145260000900214520098000223100002501203700001901228700002301247700002301270856012801293       2016                        eng d00aPrivacy-Preserving Outsourcing of Pattern Mining of Event-Log Data-A Use-Case from Process Industry0 aPrivacyPreserving Outsourcing of Pattern Mining of EventLog Data  bIEEE3 aWith the advent of cloud computing and its model for IT services based on the Internet and big data centers, the interest of industries into XaaS ("Anything as a Service") paradigm is increasing. Business intelligence and knowledge discovery services are typical services that companies tend to externalize on the cloud, due to their data intensive nature and the algorithms complexity. What is appealing for a company is to rely on external expertise and infrastructure to compute the analytical results and models which are required by the business analysts for understanding the business phenomena under observation. Although it is advantageous to achieve sophisticated analysis there exist several serious privacy issues in this paradigm. In this paper we investigate through an industrial use-case the application of a framework for privacypreserving outsourcing of pattern mining on event-log data. Moreover, we present and discuss some ideas about possible extensions.1 aMarrella, Alessandro1 aMonreale, Anna1 aKloepper, Benjamin1 aKrueger, Martin, W  uhttps://kdd.isti.cnr.it/publications/privacy-preserving-outsourcing-pattern-mining-event-log-data-use-case-process-industry