47 research outputs found
A Simple Relational Classifier
We analyze a Relational Neighbor (RN) classifier, a simple relational
predictive model that predicts only based on class labels of related neighbors,
using no learning and no inherent attributes.We show that it performs surprisingly
well by comparing it to more complex models such as Probabilistic Relational
Models and Relational Probability Trees on three data sets from published work.
We argue that a simple model such as this should be used as a baseline to assess
the performance of relational learners.NYU, Stern School of Business, IOMS department, Center for Digital Economy Researc
Tree-Mining: Understanding Applications and Challenges
Tree-mining is an essential system of techniques and software technologies for multi-level and multi-angled operations in databases. Pertaining to the purview of this manuscript, several applications of various sub-techniques of tree mining have been explored. The current write-up is aimed at investigating the major applications and challenges of different types and techniques of tree mining, as there have been patchy and scanty investigations so far in this context. To accomplish these tasks, the author has reviewed some of the latest and most pertinent research articles of the last two decades to investigate the titled aspects of this technique