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

Newtonian Forces and Causation: A Dispositional Account.

Ontological engineering works as a theory of content and/or content technology. It provides us with conceptual tools for analyzing problems in a right way by which we mean analysis of underlying background of the problems as well as their essential properties to obtain more general and useful solutions. It also suggests that we should investigate the problems as deeply as possible like philosophers to reveal essential and intrinsic characteristics hidden in the superficial phenomena/appearance. Knowledge is necessarily something about existing entities and their relations, and ontology is an investigation of being, and hence ontology contributes to facilitation of our knowledge about the world in an essential manner.

What Ontological Engineering Can Do for Solving Real-World Problems

This paper furthers the River Flow Model (RFM) of diseases based on the functional view of causation that we have elaborated for the sake of formal ontology. The clarification of RFM enables us to offer a clear comparison between RFM and the dispositional model of disease given by the Ontology for General Medical Science (OGMS) and to see the core ideas of disease that RFM and OGMS have in common. This work will be an initial step towards the development of an ontological module for generic disease representation.

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Causation and the River Flow Model of Diseases.

Next utterance prediction based on two kinds of dialog models.

In recent years, there have been a lot of efforts in solving scheduling problems by using the techniques of artificial intelligence (AI). However, through development of a variety of AI-based scheduling systems, it has become well known that eliciting effective problem-solving knowledge from human experts is arduous work, and that human schedulers typically lack the knowledge for solving large and complicated scheduling problems in a sophisticated manner. This paper discusses the characteristics of a scheduling problem and describes prior work on acquiring human schedulers' knowledge in scheduling expert systems. Then, a case-based approach, implemented in a system called CABINS, is presented for capturing human experts' preferential criteria about scheduling quality and control knowledge to speed up problem solving. Through iterative schedule repair, CABINS improves the quality of sub-optimal schedules, and during the process CABINS utilizes past repair experiences for (1) repair tactic selection and (2) repair result evaluation. It is empirically demonstrated in this paper that CABINS can revise a schedule along objectives captured in its case base and can improve the efficiency of the revision process while preserving the quality of a resultant schedule.

Riichiro Mizoguchi

Papers

Newtonian Forces and Causation: A Dispositional Account.

What Ontological Engineering Can Do for Solving Real-World Problems

Causation and the River Flow Model of Diseases.

Next utterance prediction based on two kinds of dialog models.

Capturing scheduling knowledge from repair experiences