Yukio Ohsawa – författare

Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make better business decisions, especially in designing and marketing products and systems.The expert contributors discuss how data mining can identify valuable consumer patterns, which aid marketers and designers in detecting consumers’ needs. They also explore visualization tools based on the computational methods of data mining. Discourse analysis, chance discovery, knowledge discovery, formal concept analysis, and an adjacency matrix are just some of the novel approaches covered. The book explains how these methods can be applied to website design, the retrieval of scientific articles from a database, personalized e-commerce support tools, and more.Through the techniques of data mining, this book demonstrates how to effectively design business processes and develop competitive products and services. By embracing data mining tools, businesses can better understand the behavior and needs of their customers.

Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make better business decisions, especially in designing and marketing products and systems.The expert contributors discuss how data mining can identify valuable consumer patterns, which aid marketers and designers in detecting consumers’ needs. They also explore visualization tools based on the computational methods of data mining. Discourse analysis, chance discovery, knowledge discovery, formal concept analysis, and an adjacency matrix are just some of the novel approaches covered. The book explains how these methods can be applied to website design, the retrieval of scientific articles from a database, personalized e-commerce support tools, and more.Through the techniques of data mining, this book demonstrates how to effectively design business processes and develop competitive products and services. By embracing data mining tools, businesses can better understand the behavior and needs of their customers.

This book presents selected and extended papers from the largest conference on artificial intelligence in Japan, which was expanded into an internationalized event for the first time in 2019: the 33rd Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2019), held on June 4–June 7, 2019 at TOKI MESSE in Niigata, Japan.

It presents 62 selected papers from the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020) and 35 papers from the 16th International Conference on Information Assurance and Security (IAS 2020), which was held online, from December 15 to 18, 2020.

This book explores the employment of market mechanisms for data-interactive innovations. Based on the concept of innovators' marketplaces the book introduces a new concept of 'data jackets' to enable analysis of what kind of data exist, where they are located, and what kind of information they hold, even if the contents of data cannot be made publicly available.The book presents the concept of a marketplace for data in the case of data-interactive innovations. It introduces the marketplace as a platform for value-based exchange of data and - based on the idea of the innovators' marketplace - explains how data jackets can be utilized independently from the actual contents of the data. Specific chapters deepen the understanding of variables, constraints and intentions as constituent parts of data jackets, and the extension to variable quest, a process towards the design of data. A number of case studies showcases how the methods and processes presented can be employed in real-life contexts. Finally the authors present some extensions of the concept for web-based IMDJ and connections to business information system and an outlook.

This book explores the employment of market mechanisms for data-interactive innovations. Based on the concept of innovators' marketplaces the book introduces a new concept of 'data jackets' to enable analysis of what kind of data exist, where they are located, and what kind of information they hold, even if the contents of data cannot be made publicly available.The book presents the concept of a marketplace for data in the case of data-interactive innovations. It introduces the marketplace as a platform for value-based exchange of data and - based on the idea of the innovators' marketplace - explains how data jackets can be utilized independently from the actual contents of the data. Specific chapters deepen the understanding of variables, constraints and intentions as constituent parts of data jackets, and the extension to variable quest, a process towards the design of data. A number of case studies showcases how the methods and processes presented can be employed in real-life contexts. Finally the authors present some extensions of the concept for web-based IMDJ and connections to business information system and an outlook.

This book states that data users often suffer from the difficulty of acquiring knowledge for decision-making, and others are unsure how existing data are useful.

This book states that data users often suffer from the difficulty of acquiring knowledge for decision-making, and others are unsure how existing data are useful.

Chance discovery means discovering chances - the breaking points in systems, the marketing windows in business, etc. It involves determining the significance of some piece of information about an event and then using this new knowledge in decision making. The techniques developed combine data mining methods for finding rare but important events with knowledge management, groupware, and social psychology. The reader will find many applications, such as finding information on the Internet, recognizing changes in customer behavior, detecting the first signs of an imminent earthquake, etc.This first book dedicated to chance discovery covers the state of the art in the theory and methods and examines typical scenarios, and it thus appeals to researchers working on new techniques and algorithms and also to professionals dealing with real-world applications.

This book presents the proceedings of the Fourth International Workshop on Soft Computing as Transdisciplinary Science and Technology (WSTST '05), May 25-27, 2005, Muroran, Japan. It brings together the original work of international soft computing/computational intelligence researchers, developers, practitioners, and users. This proceedings provide contributions to all areas of soft computing including intelligent hybrid systems, agent-based systems, intelligent data mining, decision support systems, cognitive and reactive distributed artificial intelligence (AI), internet modelling, human interface, and applications in science and technology.

For this book, the editors invited and called for contributions from indispensable research areas relevant to "chance discovery," which has been defined as the discovery of events significant for making a decision, and studied since 2000.

The Japanese Society for Arti?cial Intelligence (JSAI) was established in July 1986.Sincethen,wehaveheldconferenceseveryyear.AlthoughJSAIisthe second largest community in the world focusing on the area of Arti?cial - telligence and we have over 3,000 members, the importance of the research presented and discussions held at the annual conferences has not been fully recognized in the Arti?cial Intelligence communities elsewhere in the world, partlybecausemostpresentationsaremadeintheJapaneselanguage.T- refore, the program committee of the Fifteenth Annual Conference of JSAI decided to open the door to the world and hold international workshops - ring the conference on May 20th and 25th, 2001 in Matsue City, Japan. TheworkshopproposalsweregatheredfromthemembersofJSAI.We accepted the following up-to-date and exciting topics: 1) Social Intelligence DesignchairedbyProf.ToyoakiNishida,UniversityofTokyo,2)Agent-Based ApproachesinEconomicandSocialComplexSystemschairedbyProf.Akira Namatame, National Academy of Defense, 3) Rough Set Theory and Granular ComputingchairedbyProf.ShusakuTsumoto,ShimaneMedicalUniversity, 4)ChanceDiscoverychairedbyProf.YukioOsawa,and5)Challengein KnowledgeDiscoveryandDataMiningchairedbyProf.TakashiWashio, OsakaUniversity.Theseworkshopswerehighlywelcomeandsuccessful.A total of 116 people in Japan and 30 researchers from abroad participated in them. This volume of the proceedings contains selected papers presented at the workshops.Thecontentsofthevolumearedividedinto?veparts,eachof whichcorrespondstothetopicsoftheworkshops.Eachpaperwasstrictly reviewedbythecommitteemembersoftheworkshops.Theyalsocoverrecent divergentareasofarti?cialintelligence.Webelievethatthevolumeishighly useful for both researchers and practitioners who have interests in recent advances in arti?cial intelligence. October 2001 TakaoTerano JSAIWorkshopsasInternationalTrends Looking at the current economic, political, and ecological situations, we - come aware of the dynamic environment surrounding all human activities. Hand in hand, the expansion of the World Wide Web is activating the whole globe as an information system including humans, computers, and networks.

This book collects selected papers by authors for CODATA 2006, which are relevant to the acquisition of knowledge and the assessment of risk and opportunity that comes from combining data from a number of different disciplines.

Chance discovery means discovering chances - the breaking points in systems, the marketing windows in business, etc. It involves determining the significance of some piece of information about an event and then using this new knowledge in decision making. The techniques developed combine data mining methods for finding rare but important events with knowledge management, groupware, and social psychology. The reader will find many applications, such as finding information on the Internet, recognizing changes in customer behavior, detecting the first signs of an imminent earthquake, etc.This first book dedicated to chance discovery covers the state of the art in the theory and methods and examines typical scenarios, and it thus appeals to researchers working on new techniques and algorithms and also to professionals dealing with real-world applications.

For this book, the editors invited and called for contributions from indispensable research areas relevant to "chance discovery," which has been defined as the discovery of events significant for making a decision, and studied since 2000. From respective research areas as artificial intelligence, mathematics, cognitive science, medical science, risk management, methodologies for design and communication, the invited and selected authors in this book present their particular approaches to chance discovery. The chapters here show contributions to identifying rare or hidden events and explaining their significance, predicting future trends, communications for scenario development in marketing and design, identification effects and side-effects of medicines, etc.The methods presented in this book are based on the interaction of human, machine, and human's living environment, rather than based purely automated predictions of the future. This is a promising direction of computer-supported decision of human in a radically changing environment.

This book collects selected papers by authors for CODATA 2006, which are relevant to the acquisition of knowledge and the assessment of risk and opportunity that comes from combining data from a number of different disciplines.

In this method called Innovators' Marketplace, two games - Innovators' Market Game and Analogy Game - accelerate the spiral of innovation with visualizing data on the connectivity of pieces of existing knowledge.

Since year 2000, scientists on artificial and natural intelligences started to study chance discovery - methods for discovering events/situations that significantly affect decision making. Partially because the editors Ohsawa and Abe are teaching at schools of Engineering and of Literature with sharing the interest in chance discovery, this book reflects interdisciplinary aspects of progress:First, as an interdisciplinary melting pot of cognitive science, computational intelligence, data mining/visualization, collective intelligence, … etc, chance discovery came to reach new application domains e.g. health care, aircraft control, energy plant, management of technologies, product designs, innovations, marketing, finance etc.Second, basic technologies and sciences including sensor technologies, medical sciences, communication technologies etc. joined this field and interacted with cognitive/computational scientists in workshops on chance discovery, to obtain breakthroughs by stimulating each other. Third, “time” came to be introduced explicitly as a significant variable ruling causalities - background situations causing chances and chances causing impacts on events and actions of humans in the future. Readers may urge us to list the fourth, fifth, sixth, … but let us stop here and open this book.

This book presents a powerful method for innovation that reinforces combinatorial and analogical thoughts, with interdisciplinary communications among stakeholders in the market. In this method called Innovators' Marketplace, two games - Innovators' Market Game and Analogy Game - accelerate the spiral of innovation with visualizing data on the connectivity of pieces of existing knowledge. Some players invent ideas by connecting and combining pre-existing knowledge, while others evaluate the ideas to decide whether or not to buy. In a joyful atmosphere created by the games, players look beyond resistance to criticism, as experiments real cases show. They will start thinking and talking about the best segment of the majority, latent requirements in the future market, and scenarios for satisfying those requirements. This process embodies the principle that an interdisciplinary combination of business actors and resources, possibly with the appearance of new actors, triggers innovation.