1. OBJECTIVE Them has been cxtensivc work in query optimization since the enrly '70s. It is
hard to capture the breadth and depth of this large body of work in a short article. Therefore, I …

Summarization has been proven to be a useful and effective technique supporting data
analysis of large amounts of data. Knowledge discovery from data (KDD) is time consuming …

Query optimizers rely on accurate cardinality estimates to produce good execution plans.
Despite decades of research, existing cardinality estimators are inaccurate for complex …

Cardinality estimation has long been grounded in statistical tools for density estimation. To
capture the rich multivariate distributions of relational tables, we propose the use of a new …

Database and Artificial Intelligence (AI) can benefit from each other. On one hand, AI can
make database more intelligent (AI4DB). For example, traditional empirical database …

In supervised learning it has been shown that a collection of weak classifiers can result in a
strong classifier with error rates similar to those of more sophisticated methods. In …

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 …

Cardinality estimation is a fundamental but long unresolved problem in query optimization.
Recently, multiple papers from different research groups consistently report that learned …

Abstract Methods for Approximate Query Processing (AQP) are essential for dealing with
massive data. They are often the only means of providing interactive response times when …

Database Management Systems Page 1 Database Management Systems 7 ^ Raghu
Ramakrishnan Page 2 DATABASE MANAGEMENT SYSTEMS Raghu Ramakrishnan …