Influencer events in episode rules: a way to impact the occurrence of events
| Autor: | Armelle Brun, Anne Boyer, Lina Fahed |
|---|---|
| Přispěvatelé: | Knowledge Information and Web Intelligence (KIWI), Department of Complex Systems, Artificial Intelligence & Robotics (LORIA - AIS), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Antecedent (logic)
Computer science Context (language use) 02 engineering and technology computer.software_genre [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] Influencer events discovery Knowledge extraction 020204 information systems 0202 electrical engineering electronic engineering information engineering Set (psychology) Data mining General Environmental Science business.industry Event (computing) Episode rules Knowledge Discovery Identification (information) General Earth and Planetary Sciences 020201 artificial intelligence & image processing Artificial intelligence business computer Natural language processing |
| Zdroj: | 19th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems 19th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Sep 2015, Singapour, Singapore. ⟨10.1016/j.procs.2015.08.174⟩ KES |
| Popis: | International audience; Episode rules are event patterns mined from a single event sequence. They are mainly used to predict the occurrence of events (the consequent of the rule), once the antecedent has occurred. The occurrence of the consequent of a rule may however be disturbed by the occurrence of another event in the sequence (that does not belong to the antecedent). We refer such an event to as an influencer event. To the best of our knowledge, the identification of such events in the context of episode rules has never been studied. However, identifying influencer events is of the highest importance as these events can be viewed as a way to act to impact the occurrence of events, here the consequent of rules. We propose to identify three types of influencer events: distance influencer events, confidence influencer events and disappearance events. To identify these influencer events, we propose to rely on the set of episode rules discovered by mining algorithms. The proposed approach for discovering influencer events is evaluated on an event sequence of social networks messages. Experiments measure the execution time efficiency according to the adopted episode rules mining algorithm. In addition, they show that some events do actually highly influence the consequent of some rules, that influencer events may not only influence several consequents, but also influence several characteristics of rules. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|