Business Data Processing
Author | : Stuart S. Fink |
Publisher | : by Mocktime Publication |
Total Pages | : 67 |
Release | : 1974 |
Genre | : COBOL (Computer program language) |
ISBN | : |
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Author | : Stuart S. Fink |
Publisher | : by Mocktime Publication |
Total Pages | : 67 |
Release | : 1974 |
Genre | : COBOL (Computer program language) |
ISBN | : |
Author | : Gábor Békés |
Publisher | : Cambridge University Press |
Total Pages | : 741 |
Release | : 2021-05-06 |
Genre | : Business & Economics |
ISBN | : 1108483011 |
A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.
Author | : Valentina Janev |
Publisher | : Springer Nature |
Total Pages | : 212 |
Release | : 2020-07-15 |
Genre | : Computers |
ISBN | : 3030531996 |
This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.
Author | : Sidney D. Borcher |
Publisher | : |
Total Pages | : 100 |
Release | : 1973 |
Genre | : Electronic data processing personnel |
ISBN | : |
The Center for Vocational and Technical Education is developing a system for acquiring and using occupational information effectively in designing and revising curricula. This interim report is offered before completion of the major project so that the occupational information collected during the development of the system may be available for use by curriculum developers, instructors, and others involved in planning and conducting vocational and technical programs. Sophisticated data processing machines can only carry out the prepared instructions worked out step by step by highly trained data processing workers. The purpose of this survey was to collect occupational information that would be useful for revising and designing one- and two-year post-high school data processing programs.
Author | : Harvey M. Deitel |
Publisher | : Academic Press |
Total Pages | : 665 |
Release | : 2014-05-10 |
Genre | : Computers |
ISBN | : 148326470X |
Computers and Data Processing provides information pertinent to the advances in the computer field. This book covers a variety of topics, including the computer hardware, computer programs or software, and computer applications systems. Organized into five parts encompassing 19 chapters, this book begins with an overview of some of the fundamental computing concepts. This text then explores the evolution of modern computing systems from the earliest mechanical calculating devices to microchips. Other chapters consider how computers present their results and explain the storage and retrieval of massive amounts of computer-accessible information from secondary storage devices. This book discusses as well the development installation, evaluation, and control of computer systems. The final chapter discusses the use of computers in the transportation systems and the ways in which they make possible other innovations in transportation. This book is a valuable resource for computer scientists, systems analysts, computer programmers, mathematicians, and computer specialists.
Author | : Tanwar, Poonam |
Publisher | : IGI Global |
Total Pages | : 240 |
Release | : 2021-06-25 |
Genre | : Computers |
ISBN | : 1799877302 |
To sustain and stay at the top of the market and give absolute comfort to the consumers, industries are using different strategies and technologies. Natural language processing (NLP) is a technology widely penetrating the market, irrespective of the industry and domains. It is extensively applied in businesses today, and it is the buzzword in every engineer’s life. NLP can be implemented in all those areas where artificial intelligence is applicable either by simplifying the communication process or by refining and analyzing information. Neural machine translation has improved the imitation of professional translations over the years. When applied in neural machine translation, NLP helps educate neural machine networks. This can be used by industries to translate low-impact content including emails, regulatory texts, etc. Such machine translation tools speed up communication with partners while enriching other business interactions. Deep Natural Language Processing and AI Applications for Industry 5.0 provides innovative research on the latest findings, ideas, and applications in fields of interest that fall under the scope of NLP including computational linguistics, deep NLP, web analysis, sentiments analysis for business, and industry perspective. This book covers a wide range of topics such as deep learning, deepfakes, text mining, blockchain technology, and more, making it a crucial text for anyone interested in NLP and artificial intelligence, including academicians, researchers, professionals, industry experts, business analysts, data scientists, data analysts, healthcare system designers, intelligent system designers, practitioners, and students.
Author | : David T. Bourgeois |
Publisher | : |
Total Pages | : 167 |
Release | : 2014 |
Genre | : Economics |
ISBN | : |
"Information Systems for Business and Beyond introduces the concept of information systems, their use in business, and the larger impact they are having on our world."--BC Campus website.
Author | : Foster Provost |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 506 |
Release | : 2013-07-27 |
Genre | : Computers |
ISBN | : 144937428X |
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates
Author | : Carl French |
Publisher | : Thomson Learning Emea |
Total Pages | : 501 |
Release | : 1996-06 |
Genre | : Computers |
ISBN | : 9781844801008 |
This book provides a comprehensive and straightforward coverage of data processing and information technology. It is widely used as a course text on many professional and non-professional business and accountancy courses, and assumes no previous knowledge of the subject. This book provides a comprehensive and straightforward coverage of data processing and information technology. It is widely used as a course text on many professional and non-professional business and accountancy courses, and assumes no previous knowledge of the subject.