Yu Guo Wang

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1ranked-venue papers

0as first author

0since 2021 · last 2004

—ORCID · none

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

Artificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 1

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 mining · 91% Data models and query languages · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

Topic	Papers	Last	Evidence papers
Data mining › pattern mining frequent pattern mining	1	2004	Incremental Mining of Frequent XML Query Pattern · ICDM 2004
Data mining incremental mining	1	2004	Incremental Mining of Frequent XML Query Pattern · ICDM 2004
Data mining pattern mining	1	2004	Incremental Mining of Frequent XML Query Pattern · ICDM 2004
Data models and query languages XML data management	1	2004	Incremental Mining of Frequent XML Query Pattern · ICDM 2004

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

frequent structure mining · 0.0

Year	Publication	Venue	Position
2004	Incremental Mining of Frequent XML Query Pattern abstract The discovering of frequent XML query patterns gains its focus due to its many applications in XML data management, and several algorithms have been proposed to discover frequent query patterns using the frequent structure mining techniques. In this paper we consider the problem of incremental mining of frequent XML query patterns. We propose a method to minimize the I/O and computation requirements for handling incremental updates. Lianghuai Yang, Yu Guo Wang	ICDM	3