Sebanyak 7 item atau buku ditemukan

Business Ethics

Methods and Application

Ethical aspects of business and the economy are of increasing concern in business practice, higher education, and society in general. This concern results from significant business scandals and economic crises, such as the financial crisis of 2008 and the following great recession, as well as from pressing current and future challenges for the economy, such as sustainability and globalization. As a result, there is a growing demand for normative analysis and orientation for business and the economy, where business ethics has become a crucial part of organizational management, risk management, branding, and strategic management. Business Ethics: Methods and Application provides a new systematic approach to normative business ethics that covers the complex and various ethical challenges of modern business. It aims to train analytical thinking skills in the field of business ethics and to approach ethical issues in business in a rational and systematic way. The book develops a number of specific methods for business ethics analysis that are tailored for ethical decision-making in business and for analyzing complex ethical topics in business. The book discusses fundamental ethical questions regarding the meaning of business and the economy for the individual person, society, the environment, and people around the world. As a result, Business Ethics: Methods and Application develops normative guidelines for business in the 21st century and its fundamental challenges and will be key reading for undergraduate, postgraduate, and MBA students of business ethics, business strategy, business and society, and related fields.

The book develops a number of specific methods for business ethics analysis that are tailored for ethical decision-making in business and for analyzing complex ethical topics in business.

Data Mining

Concepts, Methods and Applications in Management and Engineering Design

Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems. Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects such as customer analysis. It covers almost all managerial activities of a company, including: • supply chain design, • product development, • manufacturing system design, • product quality control, and • preservation of privacy. Incorporating recent developments of data mining that have made it possible to deal with management and engineering design problems with greater efficiency and efficacy, Data Mining presents a number of state-of-the-art topics. It will be an informative source of information for researchers, but will also be a useful reference work for industrial and managerial practitioners.

Privacy-preserving data mining (PPDM) is one of the newest trends in privacy
and security research. It is driven by one of the major policy issues of the
information era: the right to privacy. Data mining is the process of automatically
discovering ...

Data Mining Patterns: New Methods and Applications

New Methods and Applications

"This book provides an overall view of recent solutions for mining, and explores new patterns,offering theoretical frameworks and presenting challenges and possible solutions concerning pattern extractions, emphasizing research techniques and real-world applications. It portrays research applications in data models, methodologies for mining patterns, multi-relational and multidimensional pattern mining, fuzzy data mining, data streaming and incremental mining"--Provided by publisher.

"This book provides an overall view of recent solutions for mining, and explores new patterns,offering theoretical frameworks and presenting challenges and possible solutions concerning pattern extractions, emphasizing research techniques ...

Data Mining for Design and Manufacturing

Methods and Applications

Data Mining for Design and Manufacturing: Methods and Applications is the first book that brings together research and applications for data mining within design and manufacturing. The aim of the book is 1) to clarify the integration of data mining in engineering design and manufacturing, 2) to present a wide range of domains to which data mining can be applied, 3) to demonstrate the essential need for symbiotic collaboration of expertise in design and manufacturing, data mining, and information technology, and 4) to illustrate how to overcome central problems in design and manufacturing environments. The book also presents formal tools required to extract valuable information from design and manufacturing data, and facilitates interdisciplinary problem solving for enhanced decision making. Audience: The book is aimed at both academic and practising audiences. It can serve as a reference or textbook for senior or graduate level students in Engineering, Computer, and Management Sciences who are interested in data mining technologies. The book will be useful for practitioners interested in utilizing data mining techniques in design and manufacturing as well as for computer software developers engaged in developing data mining tools.

Data Mining for Design and Manufacturing: Methods and Applications is the first book that brings together research and applications for data mining within design and manufacturing.

Perceptual Digital Imaging

Methods and Applications

Visual perception is a complex process requiring interaction between the receptors in the eye that sense the stimulus and the neural system and the brain that are responsible for communicating and interpreting the sensed visual information. This process involves several physical, neural, and cognitive phenomena whose understanding is essential to design effective and computationally efficient imaging solutions. Building on advances in computer vision, image and video processing, neuroscience, and information engineering, perceptual digital imaging greatly enhances the capabilities of traditional imaging methods. Filling a gap in the literature, Perceptual Digital Imaging: Methods and Applications comprehensively covers the system design, implementation, and application aspects of this emerging specialized area. It gives readers a strong, fundamental understanding of theory and methods, providing a foundation on which solutions for many of the most interesting and challenging imaging problems can be built. The book features contributions by renowned experts who present the state of the art and recent trends in image acquisition, processing, storage, display, and visual quality evaluation. They detail advances in the field and explore human visual system-driven approaches across a broad spectrum of applications, including: Image quality and aesthetics assessment Digital camera imaging White balancing and color enhancement Thumbnail generation Image restoration Super-resolution imaging Digital halftoning and dithering Color feature extraction Semantic multimedia analysis and processing Video shot characterization Image and video encryption Display quality enhancement This is a valuable resource for readers who want to design and implement more effective solutions for cutting-edge digital imaging, computer vision, and multimedia applications. Suitable as a graduate-level textbook or stand-alone reference for researchers and practitioners, it provides a unique overview of an important and rapidly developing research field.

35, no. 11, pp. 1732–1743, November 2000. K. Parulski and K.E. Spaulding, “
Color image processing for digital cameras,” in Digital Color Imaging Handbook,
G. Sharma (ed.), Boca Raton, FL, USA: CRC Press, December 2002, pp. 728–
757.