Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.

Murray Edelberg

dblp:64/2668 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 1977
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
2 papers
Indexing and storage engines · 70% Query processing and optimization · 30%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Indexing and storage engines › query indexing
boolean expression indexing
0.021977
Interval Hierarchies and Their Application to Predicate Files · ACM Trans. Database Syst. 1977
Interval Hierarchies and Their Application to Predicate Files (Abstract) · SIGMOD Conference 1977
Indexing and storage engines › index maintenance
dynamic indexing
0.011977
Interval Hierarchies and Their Application to Predicate Files · ACM Trans. Database Syst. 1977

Methods — techniques the papers use, named apart from their topics

search algorithm design · 0.0dynamic index · 0.0complexity analysis · 0.0
YearPublicationVenuePosition
1977 Interval Hierarchies and Their Application to Predicate Files (Abstract)
abstract
Predicates are used extensively in modern data base systems, for purposes ranging from user specification of associative accesses to data, to user-invisible system control functions such as concurrency control and data distribution. Collections of predicates, or predicate files, must be maintained and accessed efficiently. This paper describes a dynamic index, called an interval hierarchy, which supports several important retrieval operations on files of simple conjunctive predicates. Search and maintenance algorithms for interval hierarchies are given. For a file of n predicates, typical of the kind expected in practice, these algorithms require time equal to O(log n).
Kai C. Wong, Murray Edelberg
SIGMOD Conference2
1977 Interval Hierarchies and Their Application to Predicate Files
abstract
Predicates are used extensively in modern database systems for purposes ranging from user specification of associative accesses to data, to user-invisible system control functions such as concurrency control and data distribution. Collections of predicates, or predicate files, must be maintained and accessed efficiently. This paper describes a dynamic index, called an interval hierarchy, which supports several important retrieval operations on files of simple conjunctive predicates. Search and maintenance algorithms for interval hierarchies are given. For a file of n predicates, typical of the kind expected in practice, these algorithms require time equal to Ο (log n ).
Kai C. Wong, Murray Edelberg
ACM Trans. Database Syst.2