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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 14 of 14  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MSS 2024-03-13
15:00
Misc. Kikai-Shinko-Kaikan Bldg. Formal Concept Analysis of Traffic Accidents Factors using Traffic Accident Summaries
Haruto Murakami, Kazutoshi Sakakibara, Masaki Nakamura, Tatsuro Motoyoshi, Keisuke Hoshikawa (Toyama Prefectural Univ.) MSS2023-79 NLP2023-131
The purpose of this study is to support police activities targeting elderly pedestrians and other vulnerable road users,... [more] MSS2023-79 NLP2023-131
pp.42-47
MSS, NLP 2022-03-28
09:40
Online Online Prediction of Traffic Accidents using Formal Concept Analysis with Actual Data
Shogo Kotani, Yuta Asanuma, Masaki Nakamura, Kazutoshi Sakakibara, Tatsuro Motoyoshi, Keisuke Hoshikawa (Toyama Pref. Univ.) MSS2021-56 NLP2021-127
The purpose of this study is for preventing future traffic accidents by past ones to analyze traffic accident data based... [more] MSS2021-56 NLP2021-127
pp.7-12
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-19
14:50
Online Online [Special Talk] A Framework of Exploring Store-Clusters with Multiple Similarities
Yoshiaki Okubo (Hokkaido Univ.)
In this paper, we discuss an interactive framework of exploring various clusters of objects observed in a given relation... [more]
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Learning Hierarchical Structure via Nearest Neighbor Search and Formal Concept Analysis
Yuka Yoneda (Osaka Univ.), Mahito Sugiyama (NII), Takashi Washio (Osaka Univ.) IBISML2018-53
We propose to learn a hierarchical structure of clusters from continuous data via two-step procedure:
We first binariz... [more]
IBISML2018-53
pp.69-73
KBSE, SS, IPSJ-SE [detail] 2016-07-15
11:10
Hokkaido   Investigation Strategies and Relevance Metric on Dynamic Feature Location
Maaki Nakano, Shinpei Hayashi, Takashi Kobayashi (Tokyo Tech.) SS2016-17 KBSE2016-23
In dynamic feature location based on formal concept analysis, it is a hard problem that modules implementing focused fea... [more] SS2016-17 KBSE2016-23
pp.169-174
SS, MSS 2014-01-31
14:50
Aichi   An Application of an Incremental Approach for Feature Location and Identification in Source Code
Hiroshi Kazato (NTT DATA), Shinpei Hayashi, Takashi Kobayashi (Tokyo Inst. of Tech.), Tsuyoshi Oshima, Shunsuke Miyata, Katsuyuki Natsukawa, Takashi Hoshino (NTT), Motoshi Saeki (Tokyo Inst. of Tech.) MSS2013-71 SS2013-68
Feature location (FL) is an important activity for finding correspondence between features and modules in source code. ... [more] MSS2013-71 SS2013-68
pp.119-124
SS, KBSE 2013-07-25
17:10
Hokkaido   An Iterative Approach for Improving Feature Location and Identification
Hiroshi Kazato (NTT DATA INTELLILINK CORPORATION), Shinpei Hayashi, Takashi Kobayashi (Tokyo Inst. of Tech.), Tsuyoshi Oshima, Shunsuke Miyata, Katsuyuki Natsukawa, Takashi Hoshino (NTT), Motoshi Saeki (Tokyo Inst. of Tech.) SS2013-22 KBSE2013-22
Feature location (FL) is an activity of developers which identifies correspondence between software features and program... [more] SS2013-22 KBSE2013-22
pp.55-60
HIP, HCS, HI-SIGCOASTER [detail] 2013-05-31
11:10
Okinawa Okinawa Industry Support Center Spatio-temporal Data Mining on Turn-taking and Mental Workload between Collaborative Learners
Katsunori Oyama, Masato Kaneko, Atsushi Takeuchi (Nihon Univ.) HCS2013-19 HIP2013-19
This study argues visualization method for monitoring changing situation of communication in a development team. A conce... [more] HCS2013-19 HIP2013-19
pp.129-134
KBSE, SS 2012-07-28
11:10
Hokkaido Future University Hakodate A Technique for Extracting and Visualizing Implementation Structure of Software Features
Hiroshi Kazato (NTT), Shinpei Hayashi (Tokyo Tech.), Satoshi Okada, Shunsuke Miyata, Takashi Hoshino (NTT), Motoshi Saeki (Tokyo Tech.) SS2012-25 KBSE2012-27
After a feature is located in source code, developers understand implementation structure around the location from stati... [more] SS2012-25 KBSE2012-27
pp.91-96
SS 2012-03-14
11:15
Okinawa Tenbusu-Naha A Technique for Locating Features in Multi-Layer Systems Based on Formal Concept Analysis
Hiroshi Kazato (NTT), Shinpei Hayashi (Tokyo Tech), Satoshi Okada, Shunsuke Miyata, Takashi Hoshino (NTT), Motoshi Saeki (Tokyo Tech) SS2011-80
In multi-layer systems such as web applications, locating features is a challenging problem because each feature is ofte... [more] SS2011-80
pp.139-144
KBSE 2009-09-15
14:40
Overseas Hanoi University of Technology, Hanoi, Vietnam Formalization of Analysis Method of Unexpected Obstacles in Embedded Systems from the viewpoint of Qualitative Reasoning
Keiichi Katamine (Kyushu Inst. of Tech.), Yasufumi Shinyashiki, Toshiro Mise (Panasonic Electric Works Co., Ltd.), Takako Nakatani (Univ. of Tsukuba.), Naoyasu Ubayashi, Masaaki Hashimoto (Kyushu Inst. of Tech.) KBSE2009-27
This paper proposes a formalization for an analysis method of extracting unexpected obstacles in order to improve the qu... [more] KBSE2009-27
pp.57-62
SS 2009-08-06
10:30
Hokkaido Kitami Institute of Technology A Structure Analysis Method for Programs with Recursive Calls
Masanori Ohdan (Shimane Univ.), Tadamasa Satou SS2009-12
The recursive structure is one of the programming concept hand to master. It provides compact and neat programs, while i... [more] SS2009-12
pp.1-6
SIS 2008-12-05
13:35
Osaka Kansai Univ. Correspondence Between Mathematical Morphology and Formal Concept Analysis in Huge Image Visualization
Kazuhito Sawase, Hajime Nobuhara (Univ. of Tsukuba)
An interactive visualization of huge image database based on formal concept analysis is presented.
This visualization s... [more]
SIS2008-63
pp.119-123
PRMU, DE 2008-06-19
10:30
Hokkaido Otaru-Shimin-Kaikan A Comparison of Topologies in Rough Sets Theory and Formal Concept Analysis
Hirofumi Miura, Tetsuya Murai, Seiki Ubukata (Hokkaido Univ.), Yasuo Kudo (Muroran IT) DE2008-6 PRMU2008-24
There are many mathematical methods of analyzing data in a form of table and, among them, formal concept analysis, and r... [more] DE2008-6 PRMU2008-24
pp.31-34
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