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Analytics and Tech Mining for Engineering Managers

Analytics and Tech Mining for Engineering Managers PDF Author: Scott W. Cunningham
Publisher: Momentum Press
ISBN: 1606505114
Category : Technology & Engineering
Languages : en
Pages : 129

Book Description
This book offers practical tools in Python to students of innovation, as well as competitive intelligence professionals, to track new developments in science, technology, and innovation. The book will appeal to both—tech-mining and data science audiences. For tech-mining audiences, Python presents an appealing, all-in-one language for managing the tech-mining process. The book is a complement to other introductory books on the Python language, providing recipes with which a practitioner can grow a practice of mining text. For data science audiences, this book gives a succinct overview over the most useful techniques of text mining. The book also provides relevant domain knowledge from engineering management; so, an appropriate context for analysis can be created. This is the first book of a two-book series. This first book discusses the mining of text, while the second one describes the analysis of text. This book describes how to extract actionable intelligence from a variety of sources including scientific articles, patents, pdfs, and web pages. There is a variety of tools available within Python for mining text. In particular, we discuss the use of pandas, BeautifulSoup, and pdfminer.

Analytics and Tech Mining for Engineering Managers

Analytics and Tech Mining for Engineering Managers PDF Author: Scott W. Cunningham
Publisher: Momentum Press
ISBN: 1606505114
Category : Technology & Engineering
Languages : en
Pages : 129

Book Description
This book offers practical tools in Python to students of innovation, as well as competitive intelligence professionals, to track new developments in science, technology, and innovation. The book will appeal to both—tech-mining and data science audiences. For tech-mining audiences, Python presents an appealing, all-in-one language for managing the tech-mining process. The book is a complement to other introductory books on the Python language, providing recipes with which a practitioner can grow a practice of mining text. For data science audiences, this book gives a succinct overview over the most useful techniques of text mining. The book also provides relevant domain knowledge from engineering management; so, an appropriate context for analysis can be created. This is the first book of a two-book series. This first book discusses the mining of text, while the second one describes the analysis of text. This book describes how to extract actionable intelligence from a variety of sources including scientific articles, patents, pdfs, and web pages. There is a variety of tools available within Python for mining text. In particular, we discuss the use of pandas, BeautifulSoup, and pdfminer.

Advanced Analytics in Mining Engineering

Advanced Analytics in Mining Engineering PDF Author: Ali Soofastaei
Publisher: Springer Nature
ISBN: 3030915891
Category : Business & Economics
Languages : en
Pages : 746

Book Description
In this book, Dr. Soofastaei and his colleagues reveal how all mining managers can effectively deploy advanced analytics in their day-to-day operations- one business decision at a time. Most mining companies have a massive amount of data at their disposal. However, they cannot use the stored data in any meaningful way. The powerful new business tool-advanced analytics enables many mining companies to aggressively leverage their data in key business decisions and processes with impressive results. From statistical analysis to machine learning and artificial intelligence, the authors show how many analytical tools can improve decisions about everything in the mine value chain, from exploration to marketing. Combining the science of advanced analytics with the mining industrial business solutions, introduce the “Advanced Analytics in Mining Engineering Book” as a practical road map and tools for unleashing the potential buried in your company’s data. The book is aimed at providing mining executives, managers, and research and development teams with an understanding of the business value and applicability of different analytic approaches and helping data analytics leads by giving them a business framework in which to assess the value, cost, and risk of potential analytical solutions. In addition, the book will provide the next generation of miners – undergraduate and graduate IT and mining engineering students – with an understanding of data analytics applied to the mining industry. By providing a book with chapters structured in line with the mining value chain, we will provide a clear, enterprise-level view of where and how advanced data analytics can best be applied. This book highlights the potential to interconnect activities in the mining enterprise better. Furthermore, the book explores the opportunities for optimization and increased productivity offered by better interoperability along the mining value chain – in line with the emerging vision of creating a digital mine with much-enhanced capabilities for modeling, simulation, and the use of digital twins – in line with leading “digital” industries.

Analytics and Tech Mining for Engineering Managers

Analytics and Tech Mining for Engineering Managers PDF Author: Cunningham
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Data Mining

Data Mining PDF Author: Yong Yin
Publisher: Springer Science & Business Media
ISBN: 184996338X
Category : Computers
Languages : en
Pages : 320

Book Description
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.

Data Analytics Applied to the Mining Industry

Data Analytics Applied to the Mining Industry PDF Author: Ali Soofastaei
Publisher: CRC Press
ISBN: 0429781776
Category : Computers
Languages : en
Pages : 273

Book Description
Data Analytics Applied to the Mining Industry describes the key challenges facing the mining sector as it transforms into a digital industry able to fully exploit process automation, remote operation centers, autonomous equipment and the opportunities offered by the industrial internet of things. It provides guidelines on how data needs to be collected, stored and managed to enable the different advanced data analytics methods to be applied effectively in practice, through use of case studies, and worked examples. Aimed at graduate students, researchers, and professionals in the industry of mining engineering, this book: Explains how to implement advanced data analytics through case studies and examples in mining engineering Provides approaches and methods to improve data-driven decision making Explains a concise overview of the state of the art for Mining Executives and Managers Highlights and describes critical opportunity areas for mining optimization Brings experience and learning in digital transformation from adjacent sectors

Business Fundamentals for Engineering Managers

Business Fundamentals for Engineering Managers PDF Author: C.M. Chang
Publisher: Momentum Press
ISBN: 1606504797
Category : Technology & Engineering
Languages : en
Pages : 179

Book Description
Engineering managers and professionals make a long and lasting impact in the industry by regularly developing technology-based projects, as related to new product development, new service innovation or efficiency-centered process improvement, or both—to create strategic differentiation and operational excellence for their employers. They need certain business fundamentals that enable them to make decisions, based on both technology and business perspectives, leading to new or improved product or service offerings, which are technically feasible, economically viable, marketplace acceptable, and customer enlightening. This book consists of three sets of business fundamentals. The chapter “Cost Accounting and Control” discusses service and product costing, activity-based costing to define overhead expenses, and risk analysis and cost estimation under uncertainty. The chapter “Financial Accounting and Analysis” delineates the key financial statements, financial analyses, balanced scorecard, ratio analysis, and capital asset valuation—including operations, opportunities, and acquisition and mergers. The chapter “Marketing Management” reviews marketing functions, marketing forecasting, marketing segmentation, customers, and other factors affecting marketing in making value-adding contributions. The new business vocabulary and useful analysis tools presented will enable engineering managers to become more effective when interacting with senior management, and to prepare themselves for assuming higher-level corporate responsibilities.

Tech Mining

Tech Mining PDF Author: Alan L. Porter
Publisher: John Wiley & Sons
ISBN: 0471698458
Category : Technology & Engineering
Languages : en
Pages : 384

Book Description
Tech Mining makes exploitation of text databases meaningful tothose who can gain from derived knowledge about emergingtechnologies. It begins with the premise that we have theinformation, the tools to exploit it, and the need for theresulting knowledge. The information provided puts new capabilities at the hands oftechnology managers. Using the material present, these managers canidentify and access the most valuable technology informationresources (publications, patents, etc.); search, retrieve, andclean the information on topics of interest; and lower the costsand enhance the benefits of competitive technological intelligenceoperations.

Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications

Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications PDF Author: Zhang, Qingyu
Publisher: IGI Global
ISBN: 1609601041
Category : Computers
Languages : en
Pages : 362

Book Description
"This book is a comprehensive reference on concepts, algorithms, theories, applications, software, and visualization of data mining, text mining, Web mining and computing/supercomputing, covering state-of-the-art of the theory and applications of mining"--

Innovation Management and New Product Development for Engineers, Volume I

Innovation Management and New Product Development for Engineers, Volume I PDF Author: Rob Dekkers
Publisher: Momentum Press
ISBN: 1946646857
Category : Technology & Engineering
Languages : en
Pages : 217

Book Description
Whereas innovation has become part of daily language, in practice, realizing new product and new service development is a complex and daunting task for engineers, design engineering managers, managers, and those involved in other functions in organizations. Most books on innovation management approach this topic from a managerial or economic perspective; this text takes the actual design and engineering processes as starting point. To this purpose, it relates product design and engineering processes and their management to sources of innovation, collaboration with suppliers, and knowledge providers (for example, inventors and universities), and users. The managerial aspects get ample attention as well as the socioeconomic aspects in the context of product design and engineering. For this wide range of topics, the book provides both theoretical underpinning and practical guidance. Readers and students will benefit from this book by not only understanding the key mechanisms for innovation but also by the practical guidance it offers. The author uses diagrams, models, methods, and steps to guide readers to a better understanding of innovation projects. This practical approach and the link to theory make the book valuable to practitioners as well as engineering students.

Innovation Management and New Product Development for Engineers, Volume II

Innovation Management and New Product Development for Engineers, Volume II PDF Author: Rob Dekkers
Publisher: Momentum Press
ISBN: 1947083937
Category : Technology & Engineering
Languages : en
Pages : 216

Book Description
Whereas innovation has become part of daily language, in practice, realizing new product and new service development is a complex and daunting task for engineers, design engineering managers, managers, and those involved in other functions in organizations. Most books on innovation management approach this topic from a managerial or economic perspective; this text takes the actual design and engineering processes as starting point. To this purpose, it relates product design and engineering processes and their management to sources of innovation, collaboration with suppliers, and knowledge providers (for example, inventors and universities), and users. The managerial aspects get ample attention as well as the socioeconomic aspects in the context of product design and engineering. For this wide range of topics, the book provides both theoretical underpinning and practical guidance. Readers and students will benefit from this book by not only understanding the key mechanisms for innovation but also by the practical guidance it offers. The author uses diagrams, models, methods, and steps to guide readers to a better understanding of innovation projects. This practical approach and the link to theory make the book valuable to practitioners as well as engineering students.