Selected Papers from ISIS 2007

2008 ◽  
Vol 12 (6) ◽  
pp. 487-487
Author(s):  
G. K. Park ◽  
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Decision Making ◽  
Computational Intelligence ◽  
Intelligent Systems ◽  
National Park ◽  
Special Issue ◽  
International Program ◽  
Tokyo Institute ◽  
Institute Of Technology

The 8th International Symposium on Advanced Intelligent Systems (ISIS 2007), a biennial joint conference between Korea and Japan, focuses on artificial intelligence, intelligent systems, information technology, and their applications. ISIS 2007, held on September 5-8 at Soraksan National Park under the auspices of the Korea Fuzzy Logic and Intelligent Systems Society (KFIS), was attended by 265 researchers, engineers, and other professionals and featured 206 presentations. Of more than 20 papers preliminarily selected and reviewed by the ISIS 2007 International Program Committees, 7 were chosen for the special issue of the Journal of Advanced Computational Intelligence and Intelligent Informatics, centering on advanced intelligent systems including robotics, pattern recognition, data mining, and decision-making systems. The content and conclusions presented in these fine papers should prove both interesting and informative to specialists and generalists alike. I thank the authors and reviewers for their painstaking contributions to this special issue and Prof. Kaoru Hirota of the Tokyo Institute of Technology for inviting me to guest-edit this work.

Selected Papers from SCIS & ISIS 2006 – No.1

2007 ◽  
Vol 11 (6) ◽  
pp. 535-535
Author(s):  
Naoyuki Kubota ◽  
Keyword(s):  
Neural Networks ◽  
Soft Computing ◽  
Computational Intelligence ◽  
Intelligent Systems ◽  
Manufacturing Systems ◽  
Current Issue ◽  
Multi Agent Systems ◽  
Special Issue ◽  
Tokyo Institute ◽  
Institute Of Technology

SCIS & ISIS is a biennial international joint conference in the field of soft computing and intelligent systems, including branches of researches from fuzzy systems, neural networks, evolutionary computation, multi-agent systems, artificial intelligence or robotics. SCIS & ISIS 2006 falls on the 3rd International Conference on Soft Computing and Intelligent Systems (SCIS) and the 7th International Symposium on Advanced Intelligent Systems (ISIS) held at Tokyo Institute of Technology, in Tokyo, Japan, on September 20-24, 2006. In this conference, 464 original papers were accepted for presentation and the number of attendees was 526. After preliminary selection and review made by the session chairs and the International Program Committees of SCIS & ISIS 2006, we have selected more than 50 papers to be published in extended form in the Special Issue of the Journal of Advanced Computational Intelligence and Intelligent Informatics. The accepted papers are published as the special issues in Vol.11, No.6, 7, and 8 in 2007. This current issue presents 23 papers and covers most of the topics of the conference including fuzzy theories, self-organizing maps, and the optimization of neural networks. The learning and search methods in computational intelligence and real-world applications to image processing, robotics and manufacturing systems are highlighted in this current issue. I would like to thank all the authors and reviewers for their contribution to make this special issue possible. I am also grateful to Prof. Toshio Fukuda, Nagoya University and Prof. Kaoru Hirota, Tokyo Institute of Technology, Editors-in-chief, for inviting me to serve as Guest Editor of this Journal.

Selected Papers from SCIS & ISIS 2006 – No.2

2007 ◽  
Vol 11 (7) ◽  
pp. 727-727
Author(s):  
Hajime Nobuhara ◽  
Keyword(s):  
Computational Intelligence ◽  
Intelligent Systems ◽  
Special Issue ◽  
Fusion Data ◽  
New Frontier ◽  
Tokyo Institute ◽  
Institute Of Technology ◽  
Processing Control ◽  
Data Context ◽  
And Robotics

As mentioned in the editorial for the special issue on selected papers from SCIS & ISIS 2006 (No.1) by Dr. Naoyuki Kubota, the 3rd International Conference on Soft Computing and Intelligent Systems (SCIS) and the 7th International Symposium on Advanced Intelligent Systems (ISIS) have been highly successful with 464 original papers accepted for presentation and participants numbering 526. We have selected approximately 50 quality papers to be published in extended form in the Special Issue of the Journal of Advanced Computational Intelligence and Intelligent Informatics, following publication of the first volume (Vol.11, No.6) comprising 23 papers. This second volume of the SCIS & ISIS 2006 special issue includes 19 papers covering the cutting edge of computational intelligence, and the guest editors believe that readers will be inspired by the highly interesting contents containing clues to the new frontier of the computational intelligence. linebreak Related areas include image processing, control, sensor fusion, data/context/ network analysis, genetic algorithms, ontology, VHDL, game theory, and robotics among others.smallskip I would like to thank all the authors and reviewers for their valuable contributions in making this volume possible. I am also grateful to Editors-in-Chief Prof. Toshio Fukuda of Nagoya University and Prof. Kaoru Hirota of the Tokyo Institute of Technology, Dr. Toshiaki Murofushi who served as general chair of SICS & ISIS 2006, Dr. Naoyuki Kubota who was the SCIS & ISIS 2006 program chair, and the SCIS & ISIS 2006 conference staff for inviting me to serve as Guest Editor of this Journal. Last, I would like to thank the Fuji Technology Press staff, especially Dr. Kazuki Ohmori.

Special Issue on Selected Papers from SCIS & ISIS 2008 No.2

2009 ◽  
Vol 13 (4) ◽  
pp. 351-351
Author(s):  
Masayoshi Kanoh ◽  
Keyword(s):  
Computational Intelligence ◽  
Rough Sets ◽  
Cognitive Modeling ◽  
Intelligent Systems ◽  
Special Issue ◽  
Tokyo Institute ◽  
Institute Of Technology ◽  
Novel Algorithms ◽  
The Many ◽  
Machine Interaction

Welcome to the second special issue on selected papers from SCIS & ISIS 2008, a joint conference combining the 4th Soft Computing and Intelligent Systems (SCIS) and the 9th International Symposium on advances Intelligent Systems (ISIS) held at Nagoya University, Japan, in September 2008. smallskip Three earlier conferences were held in: the National Institute of Advanced Industrial Science and Technology (AIST), Japan (2002); Keio University, Japan (2004); and Tokyo Institute of Technology, Japan (2006). smallskip Conference topics include fuzzy logic, clustering, evolutionary computation, machine learning, rough sets, man-machine interaction/interfaces, neural networks, computer vision, image processing, cognitive modeling, computational intelligence, etc. smallskip Papers of interest containing novel algorithms and ideas in these fields have been selected, so I hope you will enjoy this issue.smallskip I would like to thank the many people who have produced these special issues for SCIS & ISIS2008, and all of the authors and reviewers. Without your help, this issue would not have been possible.

Selected Papers from SCIS & ISIS 2006 – No.3

2007 ◽  
Vol 11 (8) ◽  
pp. 883-883
Author(s):  
Yasuhisa Hasegawa ◽  
Keyword(s):  
Communication Systems ◽  
Intelligent Systems ◽  
Special Issue ◽  
Smart Spaces ◽  
Self Organizing Maps ◽  
Intelligent Robots ◽  
Systems Research ◽  
Tokyo Institute ◽  
Intelligent Communication ◽  
Institute Of Technology

This third special issue on papers from SCIS&ISIS 2006 draws its contents from a highly successful conference attracting 526 participants from 31 countries and 464 original papers, including 297 in 60 organized sessions. The invaluable contributions by the session organizers made this conference attractive and worthwhile in soft computing and advanced intelligent systems research. Having chaired the conference's organized session committee, I wish to express my gratitude for their assistance. Some 42 selected papers have already been published in Volumes 1 and 2 of this special issue (Vol.11, Nos.6 and 7). The present volume introduces 22 papers from organized sessions in extended form after preliminary selection and review by session organizers, chairs, and international SCIS&ISIS 2006 program committees. These papers cover fields related to intelligent systems, ranging from theoretical to practical issues such as self-organizing maps, neural networks, fuzzy clustering, fuzzy control, intelligent robots, secure smart spaces, data mining, and intelligent communication systems. The guest editors believe that readers will be inspired by these highly interesting papers, which contain clues to exploring new and seminal ideas for that next step in research. I thank all of the authors and reviewers for the time and effort they put into this special issue. I am grateful to Prof. Toshio Fukuda of Nagoya University and to Prof. Kaoru Hirota of the Tokyo Institute of Technology for the opportunity to take part in this work.

Selected Papers from SCIS & ISIS 2008 – No.1

2009 ◽  
Vol 13 (3) ◽  
pp. 171-171
Author(s):  
Tsuyoshi Nakamura ◽  
Keyword(s):  
Soft Computing ◽  
Fuzzy Systems ◽  
Intelligent Systems ◽  
Current Issue ◽  
Fuzzy Theory ◽  
Special Issue ◽  
Self Organizing Maps ◽  
Tokyo Institute ◽  
Institute Of Technology ◽  
And Robotics

Welcome to this special issue of the Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII). I am pleased to introduce 41 selected papers presented at the 3rd International Conference on Soft Computing and Intelligent Systems (SCIS) and the 7th International Symposium on Advanced Intelligent Systems (ISIS) held on September 17-21, 2008, at Nagoya University in Nagoya, Japan. This conference featured 401 original papers in presentations attended by some 500 participants. SCIS & ISIS is a biennial international joint conference in the field of soft computing and intelligent systems, including branches of research ranging from fuzzy systems, neural networks, and evolutionary computation to multiagent systems, artificial intelligence, and robotics. This current issue presents 20 papers covering most of the conference topics including fuzzy theory, self-organizing maps, robotics, computer vision, and optimization algorithms. I would like to thank the authors and reviewers and SCIS & ISIS 2008 for making this special issue possible. I am also grateful to Prof. Toshio Fukuda, Nagoya University, and Prof. Kaoru Hirota, Tokyo Institute of Technology, the editors-in-chief, and the SCIS & ISIS 2008 conference staff for inviting me to guest-edit this Journal.

Opening Address

2017 ◽  
Vol 21 (1) ◽  
pp. 8-8
Author(s):  
Editor: Prof. Yasufumi Takama ◽  
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Computational Intelligence ◽  
Smart Grids ◽  
Fuzzy Inference ◽  
Peer Review Process ◽  
Web Intelligence ◽  
The Past ◽  
Research Areas ◽  
Institute Of Technology

The JACIII was first published in 1997, and 2017 marks its 20th anniversary. During the last two decades, the research fields in computational intelligence have rapidly evolved owing to the spread of the Internet, performance improvement of computers, and accumulation of scientific knowledge. To celebrate this 20th anniversary, we have selected 6 important research areas from the JACIII scope, and invited outstanding researchers from each of these areas to contribute papers about the progress and major topics in those areas during the past 20 years. Submitted paper went through a peer-review process by distinguished professors to further improve the quality. The research areas selected were computational intelligence, fuzzy intelligence, intelligent robots, artificial intelligence and web intelligence, data mining, and smart grids. Each of those paper covers broad topics appeared in the research areas, from which readers could grasp what happened during the past 20 years. We also hope readers could find some hints about future directions of their own researches towards the next 20 years. <strong>Invited Paper 1: Computational Intelligence: Retrospection and Future</strong> Author: Witold Pedrycz (University of Alberta, Canada) <strong>Invited Paper 2: Fuzzy Inference: Its Past and Prospects</strong> Authors: Kiyohiko Uehara (Ibaraki University, Japan) and Kaoru Hirota (Beijing Institute of Technology, China) <strong>Invited Paper 3: Relationship Between Human and Robot in Nonverbal Communication</strong> Authors: Yukiko Nakagawa and Noriaki Nakagawa (RT Corporation, Japan) <strong>Invited Paper 4: Web Intelligence and Artificial Intelligence</strong> Author: Yasufumi Takama (Tokyo Metropolitan University, Japan) <strong>Invited Paper 5: A Review of Data Mining Techniques and Applications</strong> Authors: Ratchakoon Pruengkarn, Kok Wai Wong, and Chun Che Fung (Murdoch University, Australia) <strong>Invited Paper 6: Development and Current State of Smart Grids: A Review</strong> Author: Ken Nagasaka (Tokyo University of Agriculture and Technology, Japan)

scholarly journals Failure Analysis in University and Computer Science Contexts With Data Mining

2020 ◽  
Author(s):  
Daniela De Souza Gomes ◽  
Marcos Henrique Fonseca Ribeiro ◽  
Giovanni Ventorim Comarela ◽  
Gabriel Philippe Pereira
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Failure Analysis ◽  
Computer Science ◽  
Educational Administration ◽  
Intelligent Systems ◽  
Data Set ◽  
Data Mining Techniques ◽  
Study Case ◽  
Support Students

High failure rates are a worrying and relevant problem in Brazilian universities. From a data set of student transcripts, we performed a study case for both general and Computer Science contexts, in which Data Mining Techniques were used to find patterns concerning failures. The knowledge acquired can be used for better educational administration and also build intelligent systems to support students’ decision making.

Organizational Data Mining (ODM)

2011 ◽  
pp. 1-8
Author(s):  
Hamid R. Nemati ◽  
Christopher D. Barko
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Decision Making ◽  
Information Technology ◽  
Competitive Advantage ◽  
Current Status ◽  
Decision Making Process ◽  
Actionable Knowledge ◽  
The Core ◽  
Mining Tools

An increasing number of organizations are struggling to overcome “information paralysis” — there is so much data available that it is difficult to understand what is and is not relevant. In addition, managerial intuition and instinct are more prevalent than hard facts in driving organizational decisions. Organizational Data Mining (ODM) is defined as leveraging data mining tools and technologies to enhance the decision-making process by transforming data into valuable and actionable knowledge to gain a competitive advantage (Nemati & Barko, 2001). The fundamentals of ODM can be categorized into three fields: Artificial Intelligence (AI), Information Technology (IT), and Organizational Theory (OT), with OT being the core differentiator between ODM and data mining. We take a brief look at the current status of ODM research and how a sample of organizations is benefiting. Next we examine the evolution of ODM and conclude our chapter by contemplating its challenging yet opportunistic future.

Special Issue on Selected Papers WISP'99

2001 ◽  
Vol 5 (1) ◽  
pp. 1-1
Author(s):  
Annamária R. Várkonyi-Kóczy ◽  
Keyword(s):  
Signal Processing ◽  
Computational Intelligence ◽  
Intelligent Systems ◽  
Large Scale ◽  
International Workshop ◽  
Processing System ◽  
Mixed Data ◽  
Special Issue ◽  
Excellent Research ◽  
Signal Processing Systems

Today's complex industrial and engineering systems - especially with the appearance of large-scale embedded and/or real-time systems - confront researchers and engineers with completely new challenges. Measurement and signal processing systems are involved in almost all kinds of activities in that field where control problems, system identification problems, industrial technologies, etc., are to be solved, i.e., when signals, parameters, or attributes must be measured, monitored, approximated, or determined somehow. In a large number of cases, traditional information processing tools and equipment fail to handle these problems. Not only is the handling of previously unseen spatial and temporal complexity questionable but such problems have also to be addressed such as the interaction and communication of subsystems based on entirely different modeling and information expression methods, the handling of abrupt changes within the environment and/or the processing system, the possible temporal shortage of computational power and/or loss of some data due to the former. Signal processing should even in these cases provide outputs of acceptable quality to continue the operation of the complete system, producing data for qualitative evaluations and supporting decisions. It means the introduction of new ideas for specifying, designing, implementing, and operating sophisticated signal processing systems. Intelligent - artificial intelligence, soft computing, anytime, etc. - methods are serious candidates for handling many theoretical and practical problems, providing a better description, and, in many cases, are the best if not the only alternatives for emphasizing significant aspects of system behavior. These techniques, however, are relatively new methods and up until now, not widely used in the field of signal processing because some of the critical questions related to design and verification are not answered properly and because uncertainty is maintained quite differently than in classical metrology. After the initiation of the 1999 IEEE International Workshop on Intelligent Signal Processing, WISP'99, which was the first event to start linking scientific communities working in the fields of intelligent systems and signal processing and hoping that it will attract more and more scientists and engineers in these hot topics, this special issue continues this pioneering work by offering a selection of nine papers fitting into the profile of the journal from the numerous high quality ones presented at WISP'99. These excellent papers deal with different aspects of advanced computational intelligence in signal processing, including the application of neural networks, fuzzy techniques, genetic and anytime algorithms in modeling, signal processing, noise cancellation, identification, and pattern recognition, multisensorial information fusion and intelligent classification in image processing, exact and nonexact complexity reduction, and nonclassical and mixed data and uncertainty representation and handling. As an editor of this special issue, I would like to express my thanks to all of the contributors and my belief in that the excellent research results it contains provide the basis for further strengthening and spreading of advanced computational intelligence in signal processing opening wide possibilities for new theoretical and practical achievements.

Sign in / Sign up

Export Citation Format

Share Document