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

The goal of this paper is to illustrate the beneficial role of ontologies in achieving efficient authoring support for Intelligent Educational Systems (IES). We present our ideas within an ontology-driven framework EASE offering power with respect to the functionality, generic approach for its support of instructional strategies and user-friendliness in its interaction with the author. A central function in it has an authoring task ontology that at a metalevel defines and controls the configuration and tuning of an authoring tool for a specific authoring process. In this way we achieve more control over the evolution of the intelligence in IES and reach a computational formalization of IES engineering.

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Ontologies for authoring of intelligent educational systems

PROBLEM TO BE SOLVED: To support task processing by efficiently displaying, editing and retrieving data in a data base associated with the task processing. SOLUTION: In a data retrieving system, a client computer and a server computer are connected through a network, and data in a data base associated with the task processing of the server computer are inputted, displayed, edited and retrieved by a client computer. In this case, function data associated with the function of the task processing and system data are stored so as to be associated with each other in the data base, and data for display are prepared corresponding to the association, and the data of the data base are displayed with a function decomposition tree diagram 52 being a tree structure by the client computer. COPYRIGHT: (C)2004,JPO&NCIPI

Data retrieval system and data retrieval apparatus

Negotiation mechanism used in the current implementations of Open Learner Models is mostly positional based and provides minimal support for learners to understand why their beliefs contradict with that of the system. This study aims at proposing a new paradigm of learning that uses negotiation coupled with targeted responses to motivate a learner and enhance their metacognitive skills along with their cognitive skills.

Negotiation-driven learning: A new perspective of learning using negotiation

In Japan, interest in IT education has continued to grow. Most goals of IT education involve meta-ability, which cannot be fully learned by traditional Japanese instructional methods. It is difficult to design effective IT education materials, and at present there are few specialists in IT education. For this reason, it is necessary and important to provide IT instructors with a powerful help system that can locate and provide access to a variety of useful information resources. To that end, we are building a system that reconstructs the resources according to the various viewpoints based on an ontology of IT education we built. Further, we propose a framework to make use of the results of another ontology by alignment of these ontologies based on Semantic Web technology.

Building of an Ontology of the Goal of IT Education and Its Applications

This paper describes an outline of "cooperative dialog system for decision support" and a framework of its cooperative response generation. The system consists of "utterance interpreter, dialog manager, decision supporter, user model, and database", and handles decision support based on data retrieval. The system is designed to achieve two types of cooperation, the cooperation in interactions and cooperation in decision support, and cooperative response generation concerns cooperation in interactions. First, cooperative responses are classified into precondition-related responses, information-related responses, reason-related responses, and responses in the form of a question. Next, an utterance model representing the user's intentions is introduced, and the knowledge description needed for response generation is explained. Finally, a response generation method using the utterance model and knowledge description is proposed. The method covers classified responses. Moreover, it is domain-independent and can be easily implemented because of its simplicity. >

Riichiro Mizoguchi

Papers

Ontologies for authoring of intelligent educational systems

Data retrieval system and data retrieval apparatus

Negotiation-driven learning: A new perspective of learning using negotiation

Building of an Ontology of the Goal of IT Education and Its Applications

Cooperative dialog system for decision support and its response generation