Philippe Fournier-Viger (ed.); Jerry Chun-Wei Lin (ed.); Roger Nkambou (ed.); Bay Vo (ed.); Vincent S. Tseng (ed.) Springer (2019) Saatavuus: Tilaustuote Kovakantinen kirja
Philippe Fournier-Viger (ed.); Ahmed Hassan (ed.); Ladjel Bellatreche (ed.); Ahmed Awad (ed.); Abderrahim Ait Wakrime (ed.) Springer (2023) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Sanjay Madria; Philippe Fournier-Viger; Sanjay Chaudhary; P. Krishna Reddy Springer Nature Switzerland AG (2020) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Haruna Chiroma (ed.); Shafi’i M. Abdulhamid (ed.); Philippe Fournier-Viger (ed.); Nuno M. Garcia (ed.) Springer (2021) Saatavuus: Tilaustuote Kovakantinen kirja
Mayuri Mehta (ed.); Philippe Fournier-Viger (ed.); Maulika Patel (ed.); Jerry Chun-Wei Lin (ed.) Springer (2021) Saatavuus: Tilaustuote Kovakantinen kirja
R. Uday Kiran; Philippe Fournier-Viger; Jose M. Luna; Jerry Chun-Wei Lin; Anirban Mondal Springer Verlag, Singapore (2021) Saatavuus: Tilaustuote Kovakantinen kirja
Haruna Chiroma (ed.); Shafi’i M. Abdulhamid (ed.); Philippe Fournier-Viger (ed.); Nuno M. Garcia (ed.) Springer (2022) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Hamido Fujita; Philippe Fournier-Viger; Moonis Ali; Yinglin Wang Springer International Publishing AG (2022) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Mayuri Mehta (ed.); Philippe Fournier-Viger (ed.); Maulika Patel (ed.); Jerry Chun-Wei Lin (ed.) Springer (2022) Saatavuus: Tilaustuote Pehmeäkantinen kirja
R. Uday Kiran; Philippe Fournier-Viger; Jose M. Luna; Jerry Chun-Wei Lin; Anirban Mondal Springer Verlag, Singapore (2022) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Springer Sivumäärä: 337 sivua Asu: Kovakantinen kirja Julkaisuvuosi: 2019, 31.01.2019 (lisätietoa) Kieli: Englanti
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, open-source software, and research opportunities. It also discusses several types of discrete data, including customer transaction data and sequential data.
The book consists of twelve chapters, seven of which are surveys presenting the main subfields of high-utility pattern mining, including itemset mining, sequential pattern mining, big data pattern mining, metaheuristic-based approaches, privacy-preserving pattern mining, and pattern visualization. The remaining five chapters describe key techniques and applications, such as discovering concise representations and regular patterns.
