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 |