Bloom filters are an essential class of probabilistic data structures designed for rapid set membership testing while minimising memory usage. By utilising multiple hash functions, these structures ...

A multi-institutional team of researchers led by MIT has found a new way to speed up data retrieval in large databases using machine learning. The researchers used machine learning to build better ...

The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search ...