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Article Dans Une Revue Expert Systems Année : 2020

Fifth special issue on knowledge discovery and business intelligence

Résumé

Artificial Intelligence (AI) is impacting our world. In the 1970s and 1980s, Expert Systems (ES) consisted of AI systems that included explicit knowledge, often represented in a symbolic form (e.g., by using the Prologue language), that was extracted from human experts. Since then, there has been an AI shift, due to three main phenomena (Darwiche, 2018): data explosion, with availability of several big data sources (e.g., social media, sensor data); computational power growth, following the famous Moore's law which states that computer processing capacity doubles every 2 years; and rise of sophisticated statistical and optimization techniques, including deep learning. Thus, rather than being expert-driven, ES have become more data-driven, with the focus on developing “computerized systems that use AI techniques to solve a specific real- world domain application task” (Cortez, Moro, Rita, King, & Hall, 2018).

Dates et versions

hal-04468431 , version 1 (20-02-2024)

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Paulo Cortez, Albert Bifet. Fifth special issue on knowledge discovery and business intelligence. Expert Systems, 2020, 37 (6), pp.1-3. ⟨10.1111/EXSY.12628⟩. ⟨hal-04468431⟩
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