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
✦ LIBER ✦
Statistical mining of interesting association rules
✍ Scribed by Christian H. Weiß
- Book ID
- 106537177
- Publisher
- Springer US
- Year
- 2007
- Tongue
- English
- Weight
- 419 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0960-3174
No coin nor oath required. For personal study only.
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## Abstract We present a novel application of knowledge discovery technology to a developing and challenging application area such as bioinformatics. This methodology allows the identification of relationships between low‐magnitude similarity (LMS) sequence patterns and other well‐contrasted protei