Tadanobu Furukawa

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5ranked-venue papers

3as first author

0since 2021 · last 2015

—ORCID · none

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

Human-computer interaction and ubiquitous computing · 3 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 3 · 2 first-authorDatabases, data management, data science and information retrieval · 2 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorArtificial intelligence and machine learning · 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.

Databases, data mining, and information retrieval

1 paper

Web and social media mining · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Web and social media mining › social media analysis blog analysis	0.1	1	2007	Analyzing Reading Behavior by Blog Mining · AAAI 2007

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

text mining · 0.1

Year	Publication	Venue	Position
2015	Machine Beats Experts: Automatic Discovery of Skill Models for Data-Driven Online Courseware Refinement Noboru Matsuda, Tadanobu Furukawa, Norman L. Bier, Christos Faloutsos	EDM	2
2014	Parallel Box: Visually Comparable Representation for Multivariate Data Analysis abstract In visual analytics, data comparison is a means of analyzing data. We developed Parallel Box to support the visual analysis of multivariate data by facilitating the flexible comparison of numerous multivariate items. To compare the data distributions of multivariate data, we combine cumulative bar charts and box plots, tools that are widely used in statistics. Using shadow expression based on the visual Gestalt principles of grouping, Parallel Box enables a direct comparison between either datasets or variables. We performed a social media analysis as a case study of Parallel Box. The results of our analysis confirm that Parallel Box is useful for visual analysis. Hiroaki Kobayashi, Tadanobu Furukawa, Kazuo Misue	IV	2
2008	Extracting Topics and Innovators Using Topic Diffusion Process in Weblogs Tadanobu Furukawa, Yutaka Matsuo, Ikki Ohmukai, Koki Uchiyama, Mitsuru Ishizuka	ICWSM	1
2007	Analyzing Reading Behavior by Blog Mining Tadanobu Furukawa, Mitsuru Ishizuka, Yutaka Matsuo, Ikki Ohmukai, Koki Uchiyama	AAAI	1
2007	Social Networks and Reading Bahavior in Blogosphere Tadanobu Furukawa, Yutaka Matsuo, Ikki Ohmukai, Koki Uchiyama, Mitsuru Ishizuka	ICWSM	1