Algorithms for clustering data

How has Japan become a major economic power, a world leader in the automotive and electronics industries? What is the secret of their success? The consensus has been that, though the Japanese are not particularly innovative, they are exceptionally skilful at imitation, at improving products that already exist. But now two leading Japanese business experts, Ikujiro Nonaka and Hiro Takeuchi, turn this conventional wisdom on its head: Japanese firms are successful, they contend, precisely because they are innovative, because they create new knowledge and use it to produce successful products and technologies. Examining case studies drawn from such firms as Honda, Canon, Matsushita, NEC, 3M, GE, and the U.S. Marines, this book reveals how Japanese companies translate tacit to explicit knowledge and use it to produce new processes, products, and services.

The knowledge-creating company : how Japanese companies create the dynamics of innovation

MKT 6009 Marketing Internship (0 semester credit hours) Student gains experience and improves skills through appropriate developmental work assignments in a real business environment. Student must identify and submit specific business learning objectives at the beginning of the semester. The student must demonstrate exposure to the managerial perspective via involvement or observation. At semester end, student prepares an oral or poster presentation, or a written paper reflecting on the work experience. Student performance is evaluated by the work supervisor. Pass/Fail only. Prerequisites: (MAS 6102 or MBA major) and department consent required. (0-0) S MKT 6244 Digital Marketing Strategy (2 semester credit hours) Executive Education Course. The course explores three distinct areas within marketing and sales namely, digital marketing, traditional sales prospecting, and executive sales organization and strategy. The continuing convergence of the digital marketing and sales funnels has created a strategic continuum from digital lead generation to digital sales. The course identifies the current composition of this digital continuum while providing opportunities to evaluate sales and marketing digital strategies. Prerequisites: MKT 6301 and instructor consent required. (2-0) Y MKT 6301 (SYSM 6318) Marketing Management (3 semester credit hours) Overview of marketing management methods, principles and concepts including product, pricing, promotion and distribution decisions as well as segmentation, targeting and positioning. (3-0) S MKT 6309 Marketing Data Analysis and Research (3 semester credit hours) Methods employed in market research and data analysis to understand consumer behavior, customer journeys, and markets so as to enable better decision-making. Topics include understanding different sources of data, survey design, experiments, and sampling plans. The course will cover the techniques used for market sizing estimation and forecasting. In addition, the course will cover the foundational concepts and techniques used in data visualization and \"story-telling\" for clients and management. Corequisites: MKT 6301 and OPRE 6301. (3-0) Y MKT 6310 Consumer Behavior (3 semester credit hours) An exposition of the theoretical perspectives of consumer behavior along with practical marketing implication. Study of psychological, sociological and behavioral findings and frameworks with reference to consumer decision-making. Topics will include the consumer decision-making model, individual determinants of consumer behavior and environmental influences on consumer behavior and their impact on marketing. Prerequisite: MKT 6301. (3-0) Y MKT 6321 Interactive and Digital Marketing (3 semester credit hours) Introduction to the theory and practice of interactive and digital marketing. Topics covered include: online-market research, consumer behavior, conversion metrics, and segmentation considerations; ecommerce, search and display advertising, audiences, search engine marketing, email, mobile, video, social networks, and the Internet of Things. (3-0) T MKT 6322 Internet Business Models (3 semester credit hours) Topics to be covered are: consumer behavior on the Internet, advertising on the Internet, competitive strategies, market research using the Internet, brand management, managing distribution and supply chains, pricing strategies, electronic payment systems, and developing virtual organizations. Further, students learn auction theory, web content design, and clickstream analysis. Prerequisite: MKT 6301. (3-0) Y MKT 6323 Database Marketing (3 semester credit hours) Techniques to analyze, interpret, and utilize marketing databases of customers to identify a firm's best customers, understanding their needs, and targeting communications and promotions to retain such customers. Topics

Marketing for management.

Emotion and Adaptation

Dans cet entretien, Riichiro Mizoguchi nous revele ses pensees les plus profondes sur le role que joue l'Ingenierie Ontologique (IO) dans le domaine des EIAH. Il insiste sur la nature conceptuelle d'une ontologie, faite pour pouvoir partager des connaissances entre humains et ordinateurs, et entre ordinateurs. Conceptualisation, partage et reutilisation sont donc les concepts-cles d'une ontologie. Dans le domaine des EIAH, le role de l'IO n'est pas de modeliser les connaissances pour resoudre des problemes comme en IA, mais pour aider des humains a resoudre des problemes grâce a la mediation de l'ordinateur. L'IO a un role important a jouer pour l'avancement de la recherche dans ce domaine, notamment pour la modelisation des connaissances theoriques et pratiques du domaine et la creation d'un consensus au sujet de ces connaissances. - English Abstract - In this interview, Riichiro Mizoguchi unveils his deepest thoughts about the role of Ontological Engineering (OE) in the field of AIED. He stresses the conceptual nature of an ontology, aimed at sharing knowledge between humans and computers, and among computers. Conceptualisation, sharing and reuse are therefore the key concepts of an ontology. In the field of AIED, OE's role is not to model knowledge for problem-solving as in AI, but rather to model knowledge to help humans solve problems with computers as mediators. OE has an important role to play in the advancement of knowledge in this field, namely towards the modeling of the field's theoretical and practical knowledge, and for the creation of a consensus about this knowledge. (http://sticef.univ-lemans.fr/num/vol2004/mizoguchi-06/sticef_2004_mizoguchi_06.pdf)

Le rôle de l'ingénierie ontologique dans le domaine des EIAH

Aiming at integration of measurement data across various biological experiments, we investigated a methodology for expanding the Phenotypic Quality Ontology (PATO), commonly used for descriptions of biological phenotypes, based on the YAMATO top-level ontology. The mapping of ontology terms from PATO to the YAMATO framework brings several benefits, including: introduction of a classification of quality values to represent measurement scales; distinction of different contexts in which comparisons of ordinal values are made; and establishment of interoperability of quality description formalisms based on different top-level ontologies. In this study, we propose an ontological basis for integrating cross-species and cross-experimental biological measurement data.

An advanced strategy for integration of biological measurement data

Metacognition aims at monitoring and regulating one's thinking devoted to problem-solving processes and learning habits among others cognitive tasks. Hence, individuals engaged in better acquisition of domain knowledge achieve higher scores when they are bewaring of how to exploit their metacognitive faculties. Thus, we present a review of some models and methods with the purpose to understand what metacognition is and know how stimulate metacognitive skills. In addition, we propose a Metacognition-Driven Learning paradigm as a reference to guide the design of Intelligent Educational Systems oriented to improve students' metacognitive skills.

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Improving students' meta-cognitive skills within intelligent educational systems: a review

To evaluate the teaching-learning process in collaborative learning sessions and its educational benefits for learners, we should analyze the interaction process during each session and select appropriate learning goals and tasks for each learner. However, the interaction process is very difficult to analyze, even for experts, and furthermore choosing appropriate goals/tasks can be even more challenging. The main objective of our work is to construct a conceptual structure based on ontology to help the interaction analysis and the learning design. We aim to make the tacit benefits for the learners explicit identifying the relationships among interactions and educational benefits. Through this conceptual structure we show how it is possible to analyze and design effective collaborative learning sessions proposing tasks and goals with justification by learning theories.

An Integrated Framework for Fine-Grained Analysis and Design of Group Learning Activities

We can get many kinds of mobile services via mobile handsets in Japan. According to an annual report by NTT DoCoMo [1], Japan's premier mobile communications company which manages mobile internet services and occupies about 58% of the market, we have more than 89,000 service sites today. On the other hand, a large number of services cause difficulties in searching, finding and selecting suitable services for consumer's needs. One of the reasons for the difficulties is that menus of the current mobile services are organized from the viewpoint of the domain. Users have to learn the menu system to access the services; hierarchical structure of the menu, relation between name of the category and services in the category. If a user wants to catch the last train, for example, such a domain-oriented menu will guide him/her as follows: “menu”, “latest information”, “traffic”, “train information”, “timetable” and “input start station name”. The user follows the menu and finally reaches the service that provides information about timetable. As this example shows, users have to translate “what they want to do” to “name of the menu” before getting mobile services they want. On the other hand, there is another type of menu which we call “task-oriented menu” [2]. The goal of this research is to realize a task-oriented menu system which enables more efficient mobile

Riichiro Mizoguchi

Papers

Le rôle de l'ingénierie ontologique dans le domaine des EIAH

An advanced strategy for integration of biological measurement data

Improving students' meta-cognitive skills within intelligent educational systems: a review

An Integrated Framework for Fine-Grained Analysis and Design of Group Learning Activities

Task Ontology-Based Framework for Modeling Users' Activities for Mobile Service Navigation