— Clustering is a pivotal building block in many data mining applications and in machine learning in general. Most clustering algorithms in the literature pertain to off-line (or...
Steven Young, Itamar Arel, Thomas P. Karnowski, De...
In this paper we observe that k-anonymizing a data set is strikingly similar to building a spatial index over the data set, so similar in fact that classical spatial indexing tech...
Abstract-- This paper describes a technique combining higher order functions, algebraic datatypes, and monads to incrementally implement syntax driven logics. Extensions can be com...
Ignatius Sri Wishnu Brata Prasetya, A. Azurat, Tan...
Abstract. Protein membership prediction is a fundamental task to retrieve information for unknown or unidentified sequences. When support vector machines (SVMs) are associated with...
Prototyping is a valuable technique to help software engineers explore the design space while gaining insight on the dynamics of the system. In this paper, we describe a method for...
Wamberto Weber Vasconcelos, David Stuart Robertson...