Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
A methodology is proposed for taking queries and requests expressed in natural language as input and answering them in charts through organizing that interaction into felicitous d...
Mining association rules is an important data mining problem. Association rules are usually mined repeatedly in different parts of a database. Current algorithms for mining associa...
Shared mutable objects pose grave challenges in reasoning, especially for data abstraction and modularity. This paper presents a novel logic for erroravoiding partial correctness o...
Anindya Banerjee, David A. Naumann, Stan Rosenberg