High-Utility Pattern Mining Theory, Algorithms and Applications /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Fournier-Viger, Philippe (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Lin, Jerry Chun-Wei (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Nkambou, Roger (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Vo, Bay (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Tseng, Vincent S. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Studies in Big Data, 51
• Θέματα: Computational intelligence.; Artificial intelligence.; Data mining.; Computational Intelligence.; Artificial Intelligence.; Data Mining and Knowledge Discovery.

This book presents an overview of techniques for discovering high-utility patterns (patterns with a high importance) in data. It introduces the main types of high-utility patterns, as well as the theory and core algorithms for high-utility pattern mining, and describes recent advances, applications,...