Terminology in Everyday Life
Terminology in Everyday Life

Author: Marcel Thelen

Publisher: John Benjamins Publishing

Published: 2010-02-25

Total Pages: 279

ISBN-13: 9027288593

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Terminology in Everyday Life contains a selection of fresh and interesting articles by prominent scholars and practitioners in the field of terminology based on papers presented at an international terminology congress on the impact of terminology on everyday life. The volume brings together theory and practice of terminology and deals with such issues as the growing influence of European English on terminology, terminology on demand, setting up a national terminological infrastructure, the relevance of frames and contextual information for terminology, and standardisation through automated term extraction and editing tools. The book wants to demonstrate that terminology is of everyday importance and is of interest to everyone interested in the theory and practice of terminology, from terminologists to computer specialists to lecturers and students.

An Analytical Dictionary of Nahuatl
An Analytical Dictionary of Nahuatl

Author: Frances E. Karttunen

Publisher: University of Oklahoma Press

Published: 1992

Total Pages: 392

ISBN-13: 9780806124216

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This is a comprehensive modern dictionary of the major indigenous language of Mexico, the language of the Aztecs and many of their neighbors. Nahuatl speakers became literate within a generation of contact with Europeans, and a vast literature has been composed in Nahuatl beginning in the mid-sixteenth century and continuing to the present.

Inventory Analytics
Inventory Analytics

Author: Roberto Rossi

Publisher: Open Book Publishers

Published: 2021-05-24

Total Pages: 184

ISBN-13: 180064177X

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Inventory Analytics provides a comprehensive and accessible introduction to the theory and practice of inventory control – a significant research area central to supply chain planning. The book outlines the foundations of inventory systems and surveys prescriptive analytics models for deterministic inventory control. It further discusses predictive analytics techniques for demand forecasting in inventory control and also examines prescriptive analytics models for stochastic inventory control. Inventory Analytics is the first book of its kind to adopt a practicable, Python-driven approach to illustrating theories and concepts via computational examples, with each model covered in the book accompanied by its Python code. Originating as a collection of self-contained lectures, Inventory Analytics will be an indispensable resource for practitioners, researchers, teachers, and students alike.

Retail Supply Chain Management
Retail Supply Chain Management

Author: Narendra Agrawal

Publisher: Springer Science & Business Media

Published: 2009-06-29

Total Pages: 335

ISBN-13: 0387789030

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In today's retail environment, characterized by product proliferation, price competition, expectations of service quality, and advances in technology, many organizations are struggling to maintain profitability. Rigorous analytical methods have emerged as the most promising solution to many of these complex problems. Indeed, the retail industry has emerged as a fascinating choice for researchers in the field of supply chain management. In Retail Supply Chain Management, leading researchers provide a detailed review of cutting-edge methodologies that address the complex array of these problems. A critical resource for researchers and practitioners in the field of retailing, chapters in this book focus on three key areas: (1) empirical studies of retail supply chain practices, (2) assortment and inventory planning, and (3) integrating price optimization into retail supply chain decisions.

Marketing dictionary
Marketing dictionary

Author: Wolfgang J. Koschnick

Publisher: Walter de Gruyter

Published: 2000

Total Pages: 392

ISBN-13: 9783110151701

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Review text: "Ein Wörterbuch das in keinem Büro fehlen sollte. Sie brauchen deswegen kein Hausierer oder anderer Händler zu sein. Es ist einfach interessant, zu lesen, wie einem jemand das erklärt, für das einen meistens die Worte fehlen. Absolute Empfehlung!"Jürgen Weber in: www. buchkritik.at 01/2007 http://www.buchkritik.at/kritik.asp?IDX=4292

Engineering Analytics
Engineering Analytics

Author: Luis Rabelo

Publisher: CRC Press

Published: 2021-09-27

Total Pages: 218

ISBN-13: 1000453766

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Engineering analytics is becoming a necessary skill for every engineer. Areas such as Operations Research, Simulation, and Machine Learning can be totally transformed through massive volumes of data. This book is intended to be an introduction to Engineering Analytics that can be used to improve performance tracking, customer segmentation for resource optimization, patterns and classification strategies, and logistics control towers. Basic methods in the areas of visual, descriptive, predictive, and prescriptive analytics and Big Data are introduced. Industrial case studies and example problem demonstrations are used throughout the book to reinforce the concepts and applications. The book goes on to cover visual analytics and its relationships, simulation from the respective dimensions and Machine Learning and Artificial Intelligence from different paradigms viewpoints. The book is intended for professionals wanting to work on analytical problems, for Engineering students, Researchers, Chief-Technology Officers, and Directors that work within the areas and fields of Industrial Engineering, Computer Science, Statistics, Electrical Engineering Operations Research, and Big Data.

Big Data Computing
Big Data Computing

Author: Tanvir Habib Sardar

Publisher: CRC Press

Published: 2024-02-27

Total Pages: 397

ISBN-13: 100382272X

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This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services such as Apache Spark, Kafka, and so forth. It also covers developments in big data computing applications such as machine learning, deep learning, graph processing, and many others. Features: Provides comprehensive analysis of advanced aspects of big data challenges and enabling technologies. Explains computing models using real-world examples and dataset-based experiments. Includes case studies, quality diagrams, and demonstrations in each chapter. Describes modifications and optimization of existing technologies along with the novel big data computing models. Explores references to machine learning, deep learning, and graph processing. This book is aimed at graduate students and researchers in high-performance computing, data mining, knowledge discovery, and distributed computing.