Rakesh Agrawal

SLIQ: A fast scalable classifier for data mining

SPRINT: A Scalable Parallel Classifier for Data Mining

Classification is an important data mining problem. Although classification is a well-studied problem, most of the current classification algorithms require that all or a portio...

Mining association rules between sets of items in large databases

We are given a large database of customer transactions. Each transaction consists of items purchased by a customer in a visit. We present an efficient algorithm that generates a...

Fast Algorithms for Mining Association Rules in Large Databases

An Interval Classifier for Database Mining Applications

We are given a large population database that contains information about population instances. The population is known to comprise of m groups, but the population instances are ...

Automatic subspace clustering of high dimensional data for data mining applications

Data mining applications place special requirements on clustering algorithms including: the ability to find clusters embedded in subspaces of high dimensional data, scalability,...

Scalable feature selection, classification and signature generation for organizing large text databases into hierarchical topic taxonomies