Levelwise algorithms (e.g., the Apriori algorithm) have been proved eective for association rule mining from sparse data. However, in many practical applications, the computation ...
It has been pointed out that the usual framework to assess association rules, based on support and confidence as measures of importance and accuracy, has several drawbacks. In part...
Fernando Berzal Galiano, Ignacio J. Blanco, Daniel...
In this paper we extend the lazy narrowing calculus lnc of Middeldorp, Okui, and Ida [26] to conditional rewrite systems. The resulting lazy conditional narrowing calculus lcnc is...
This paper proposes adaptable boundary sets as a new version-space representation. It is shown that adaptable boundary sets can be adjusted to a version-space representation betwe...
Evgueni N. Smirnov, H. Jaap van den Herik, Ida G. ...
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...