𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Mining fuzzy association rules from low-quality data

✍ Scribed by A. M. Palacios; M. J. Gacto; J. Alcalá-Fdez


Book ID
113046178
Publisher
Springer
Year
2011
Tongue
English
Weight
932 KB
Volume
16
Category
Article
ISSN
1432-7643

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Mining fuzzy association rules from ques
✍ Yen-Liang Chen; Cheng-Hsiung Weng 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 725 KB

Association rule mining is one of most popular data analysis methods that can discover associations within data. Association rule mining algorithms have been applied to various datasets, due to their practical usefulness. Little attention has been paid, however, on how to apply the association minin

Fuzzy data mining for interesting genera
✍ Tzung-Pei Hong; Kuei-Ying Lin; Shyue-Liang Wang 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 262 KB

Due to the increasing use of very large databases and data warehouses, mining useful information and helpful knowledge from transactions is evolving into an important research area. Most conventional data-mining algorithms identify the relationships among transactions using binary values and ÿnd rul