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Tetsuya Furukawa

dblp:69/751 · DBLP profile ↗
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5ranked-venue papers
1as first author
2since 2021 · last 2023
—ORCID · none

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

Databases, data management, data science and information retrieval · 3 · 1 first-author · 1 since 2021Theory of computation · 2 · 1 since 2021

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
1 paper
Data models and query languages · 87% Graph data management · 13%

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

TopicWeightPapersLastEvidence papers
Data models and query languages › relational model
nested relational model
0.011991
Navigation and Schema Transformations for Producing Nested Relations form Networks · ICDE 1991
Data models and query languages › schema management
schema transformation
0.011991
Navigation and Schema Transformations for Producing Nested Relations form Networks · ICDE 1991

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

touch information display navigation · 0.0duplicate depletion · 0.0
YearPublicationVenuePosition
2023 Information gain based dynamic support set construction for cold-start recommendation
Tetsuya Furukawa
J. Intell. Inf. Syst.2
2021 How to pack directed acyclic graphs into small blocks
Yuichi Asahiro, Tetsuya Furukawa, Keiichi Ikegami, Eiji Miyano, Tsuyoshi Yagita
Discret. Appl. Math.2
2006 How to Pack Directed Acyclic Graphs into Small Blocks
Yuichi Asahiro, Tetsuya Furukawa, Keiichi Ikegami, Eiji Miyano
CIAC2
1998 Reducing Algorithms for Materialized View Updates
Tetsuya Furukawa, Fei Sha II
ER1
1991 Navigation and Schema Transformations for Producing Nested Relations form Networks
abstract
Efficient procedures for producing nested relations from networks are considered. Various types of nested relations are defined according to the interaction between the networks' and nested relations' schemas. Among these types, partitional normal form (PNF) and accordant nested relations are shown to be produced by an extended navigation, called touch information display (TID) navigation, which requires time proportional to the number of tuples in the relation. It is demonstrated that a network can effectively produce a variety of nested relations by navigation. The efficiency of production is classified according to the interaction between the schemas of networks and targets. Non-PNF and/or non-accordant targets are generated using duplicate depletion. On the other hand, PNF and accordant targets can be generated using only navigation, which requires linear time in the number of tuples in the relation. Furthermore, for the cases on non-PNF and non-accordant targets, the TID method exploits the existence of links, so that the size of the region of the subrelation upon which deletion of duplicated values should be performed is limited.>
Mizuho Iwaihara, Tetsuya Furukawa, Yahiko Kambayashi
ICDE2