Database management systems will continue to manage large data volumes. Thus, efficient
algorithms for accessing and manipulating large sets and sequences will be required to …

This paper reviews recent literature on techniques for obtaining random samples from
databases. We begin with a discussion of why one would want to include sampling facilities …

Profiling data to determine metadata about a given dataset is an important and frequent
activity of any IT professional and researcher and is necessary for various use-cases. It …

We present a probabilistic algorithm for counting the number of unique values in the
presence of duplicates. This algorithm has O (q) time complexity, where q is the number of …

This thesis has its origins in the 1980 dissertation of Jack Morgenstein [Mor80] and in
discussions at the Second Workshop on Statistical Data Management hosted by Lawrence …

Classification of large datasets is an important data mining problem. Many classification
algorithms have been proposed in the literature, but studies have shown that so far no …

We provide several new sampling-based estimators of the number of distinct values of an
attribute in a relation. We compare these new estimators to estimators from the database …

This paper describes the concepts used in the implementation of DBDSGN, an experimental
physical design tool for relational databases developed at the IBM San Jose Research …

Directed greybox fuzzing is a popular technique for targeted software testing that seeks to
find inputs that reach a set of target sites in a program. Most existing directed greybox …

We consider the problem of estimating the number of distinct values in a column of a table.
For large tables without an index on the column, random sampling appears to be the only …