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Deb Dutta Ganguly

dblp:41/1949 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1994
—ORCID · none

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

Databases, data management, data science and information retrieval · 1 · 1 first-author

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.

Theoretical computer science
1 paper
Coding theory · 50% Algorithms and data structures · 50%
Databases, data mining, and information retrieval
1 paper
Data mining · 100%

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

TopicWeightPapersLastEvidence papers
Coding theory › lattice codes
lattice encoding
0.011994
A Space-and-Time-Efficient Codeing Algorithm for Lattice Computations · IEEE Trans. Knowl. Data Eng. 1994
Data mining › pattern mining
formal concept analysis
0.011994
A Space-and-Time-Efficient Codeing Algorithm for Lattice Computations · IEEE Trans. Knowl. Data Eng. 1994

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

transitive closure · 0.0
YearPublicationVenuePosition
1994 A Space-and-Time-Efficient Codeing Algorithm for Lattice Computations
abstract
We present an encoding algorithm for lattices that significantly reduces space requirements while allowing fast computations of least upper bounds and greatest lower bounds of pairs of elements. We analyze the algorithms for encoding, LUB and GLB computations, and prove their correctness. Empirical experiments reveal that our method is significantly more space efficient than the transitive closure method, and the saving becomes increasingly more important as the size of the lattice increases.>
Deb Dutta Ganguly, Chilukuri K. Mohan, Sanjay Ranka
IEEE Trans. Knowl. Data Eng.1