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

Although artificial intelligence has been successfully introduced to enhance Education through technologies in the past few years, major challenges still remain. One of them is how to represent the "knowledge" of intelligent authoring systems. To represent the knowledge of authoring systems to support collaborative learning is particularly challenging because it is based on various learning theories and given the complexity of group learning where the synergy among learner's interactions affects the learning processes and hence learning outcome. The main objective of this work is to introduce an ontological infrastructure on which we can build a model that describes learning theories and to show how we can use them to develop programs that provide a graphical visualization of learning theories and intelligent guidance for an effective design of group activities.

The Unfolding of Learning Theories: Its Application to Effective Design of Collaborative Learning

System monitoring and diagnosis through signal interpretation are important tasks in many engineering fields. Although monitoring or diagnosis expert systems help human experts a lot, it is not so easy to build a signal interpretation expert system. We have developed two expert systems for speech signal processing. The close analysis of the two systems revealed common functions and modules applicable to wide range of signal interpretation problems. On the basis of the experience, we have developed a shell for signal interpretation expert systems named SSI. In order to evaluate SSI, we also developed two expert systems by using it and obtained satisfactory results. This paper describes the design philosophy and architecture of SSI together with some examples.

A shell for signal interpretation expert systems

Nurses' daily practices are performed according to nursing guidelines of hospitals. Novice nurses learn by consulting the bulky files of the guidelines for their practices. The nurses actions in practice are usually transmitted from experienced nurses to the novices through the daily practices. It is difficult to represent complex and intertwined actions with their goals by the paper guidelines. The goal of the actions is often implicit knowledge accumulated through the nurses daily practices. To cope with this problem, we have previously proposed a goal realization model called CHARM (an abbreviation for Convincing Human Action Rationalized Model). Unlike in the printed guidelines, CHARM can represent the goal of actions. We have described nursing actions and their goals as CHARM trees constructed from real nursing guidelines used in a hospital through consultation with experienced nurses. On the other hand, the novices need to learn sequence of the actions. Therefore we developed a tablet computer, which is called CHARM Pad, for browsing CHARM trees with two modes corresponding to the both viewpoints. The novices are able to learn nursing actions with their goals by both goal-oriented viewpoint and sequence-oriented viewpoint. The CHARM Pad has been used for training of the novice nurses at ICU unit. After the training, we received positive comments from the chief nurse in the ICU unit and the chief nurse in the Nursing Department. Questionnaires completed by the novice nurses also showed that the two modes of the CHARM Pad helped them to understand the goals and the sequence of the actions.

Development of CHARM Pad: a Multi-viewpoint Knowledge Browsing System Towards Goal-oriented Learning of Nursing Actions and its Practical Use in Training of Novice Nurses

Signaling pathways are causal sequences of chemical reactions that end up by achieving cellular functions. Much information has been accumulated in databases for signaling pathways and ontologies have been built for sharing and reusing the information in community. However, we still have difficulties in consistent representation of signaling pathways. We still fail to have an intrinsic definition of a signaling pathway. We also fail to specify cooperative actions of molecules in dynamical construction of molecular complexes. We have developed Cell Signaling Networks Ontology (CSNO) based on device ontology to address theses difficulties. CSNO explicates that "signal" carries two kinds of information such as "identity" and "causality" of a signaling pathway. Identity is coded into "molecular recognition" predetermined in a cell, whereas causality is coded into "activity" processed along a pathway progressively and is essential for two-layered functions of cooperative molecules: to let activities flow (elementary function) and to control the flow of activities (mechanical function). CSNO defines roles of complex formation as dynamical construction of a device that performs a mechanical function generating cooperation in actions of molecules. Based on the definitions of signaling pathways, CSNO provides us with a base of integrative and consistent representation of signaling pathways, inducing a viewpoint in which not molecules but pathways are focused in the knowledge representation.

An Integrative Model for Representation of Signaling Pathways on the Basis of Device Ontology

One of the core questions for sustainability science is investigating how the dynamic interactions between nature and society can be better incorporated into emerging models and conceptualizations that integrate the Earth system, social system, and human system (Kates et al. 2001; Komiyama and Takeuchi 2006). Since these interactions, by their nature, relate to various stakeholders and players from many different fields, the problem-solving process requires the collaboration and partnership of these players. Many efforts have been made to structure diverse and fragmented knowledge for facilitating their collaboration (Choucri et al. 2007; Kumazawa et al. 2009).

Riichiro Mizoguchi

Papers

The Unfolding of Learning Theories: Its Application to Effective Design of Collaborative Learning

A shell for signal interpretation expert systems

Development of CHARM Pad: a Multi-viewpoint Knowledge Browsing System Towards Goal-oriented Learning of Nursing Actions and its Practical Use in Training of Novice Nurses

An Integrative Model for Representation of Signaling Pathways on the Basis of Device Ontology

Application of Ontology for Developing Strategy Options