Language : English
CTE Global Bus with VS E- book with supplement
Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms. Quotes This book provides a comprehensive coverage of important data mining techniques. Numerous examples are provided to lucidly illustrate the key concepts. -Sanjay Ranka, University of Florida In my opinion this is currently the best data mining text book on the market. I like the comprehensive coverage which spans all major data mining techniques including classification, clustering, and pattern mining (association rules). -Mohammed Zaki, Rensselaer Polytechnic Institute
For courses in computer science and software engineering The Fundamental Practice of Software Engineering Software Engineering introduces students to the overwhelmingly important subject of software programming and development. In the past few years, computer systems have come to dominate not just our technological growth, but the foundations of our world’s major industries. This text seeks to lay out the fundamental concepts of this huge and continually growing subject area in a clear and comprehensive manner. The Tenth Edition contains new information that highlights various technological updates of recent years, providing students with highly relevant and current information. Sommerville’s experience in system dependability and systems engineering guides the text through a traditional plan-based approach that incorporates some novel agile methods. The text strives to teach the innovators of tomorrow how to create software that will make our world a better, safer, and more advanced place to live.
Research Methods for Business Students has been fully revised for this seventh edition and continues to be the market-leading textbook in its field, guiding hundreds of thousands of student researchers to success in their research methods modules, research proposals, projects and dissertations. So, if you’re thinking …’How do I choose my topic?’ ‘I’m confused by all these different philosophies’ ‘I need to collect my data; what do I do first?’ ‘When and what do I need to write? …then, open this book to discover: * Regular checklists and ‘Progressing your research project’ sections to give you step-by-step practical guidance on the process * A glossary of clear definitions for 600 research terms * Cases and examples of students’ and academics’ research and topical news articles illustrating research in practice * Detailed chapters on choosing your topic, reviewing the literature, understanding philosophies, research design, access and ethics, secondary data, data collection and analysis, and writing about and presenting your research Don’t forget to visit www.pearsoned.co.uk/saunders where you can use online tutorials on research software, such as IBM SPSS Statistics and NVivo, test yourself with hundreds of multiple choice questions, analyse over 60 further case studies, and learn how to search the Internet more efficiently and effectively with our Smarter Online Searching guide! Start your project with confidence and complete it with success! Mark Saunders is Professor of Business Research Methods at The Surrey Business School, University of Surrey. Philip Lewis was a Principal Lecturer and Adrian Thornhill was a Head of Department, both at the University of Gloucestershire.
For undergraduate or graduate business students. A balanced and holistic approach to business analytics Business Analytics, Second Edition teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in today’s organizations. Students will learn to apply basic business analytics principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. Included access to commercial grade analytics software gives students real-world experience and career-focused value. Author James Evans takes a balanced, holistic approach and looks at business analytics from descriptive, and predictive perspectives.