Real-World Data Mining: Applied Business Analytics and Decision Making - Couverture rigide

Use New Data Mining Best Practices to Promote Timely, Actionable, Evidence-Based Decision Making

• A complete data mining framework: processes, methods, techniques, evaluation, tools, and more
• Up-to-date primers on text/web mining, sentiment analysis, and Big Data
• Demystifies complex concepts with easy tutorials and modern case studies
• For managers, analytics team members, certification candidates, and students

To make the best possible decisions, you need insights you can only uncover through data mining and business analytics. Now, renowned expert Dr. Dursun Delen explains everything you need to capture and leverage these insights, whether you’re part of an analytical team or you consume its outputs.
Drawing on decades at the forefront of research and instruction in the field, Delen illuminates its core principles, best practices, and key applications in areas from marketing and finance to defense. He clarifies its dense jargon, shows how its technologies fit together, identifies obstacles to success, and helps you overcome them.

His plain-English, step-by-step explanations demystify everything from workflows to algorithms. Best of all, he shares indispensable practical guidance for maximizing your effectiveness, every step of the way.

As business becomes increasingly complex, decision-makers must act more rapidly and accurately based on the best available evidence. Modern data mining and analytics are indispensable for doing this. Real-World Data Mining introduces current best practices in these fields, showing how to uncover hidden patterns and correlations and systematically use your findings to improve decision making.

You’ll find broad and up-to-date coverage of data mining processes, methods, and techniques; effective data management techniques; tools and metrics; text and web mining; Big Data integration; and much more.

Dr. Dursun Delen delivers an optimal balance of concepts, hands-on tutorials, and real-world application case studies--helping you learn from both successes and failures. Without compromising either simplicity or clarity, he provides enough technical depth to help you understand how data mining really works--and how to put it to work for you.

Analytics: A practical, useful taxonomy
Data mining: Converting data to information to knowledge
Applications: From marketing to finance, healthcare to defense
Processes and standards: KDD, CRISP-DM,SEMMA, and Six Sigma DMAIC
Data and methods: Handling structured, unstructured, and semi-structured data
Algorithms and statistics: Nearest neighbor, neural networks, SVMs
Text analytics/mining: Sentiment analysis, natural language processing
Big data: Volume, variety, velocity, veracity, variability, and value

Dr. Dursun Delen is an internationally known expert in business analytics and data mining. He is often invited to national and international conferences to deliver keynote presentations on topics related to data/text mining, business intelligence, decision support systems, business analytics, and knowledge management. Prior to his appointment as professor at Oklahoma State University in 2001, Dr. Delen worked for industry for more than 10 years, developing and delivering business analytics solutions to companies. Most recently he worked for a privately owned research and consulting company, Knowledge Based Systems, Inc., in College Station, Texas, as a research scientist. During his five years there, he led a number of projects related to decision support, information systems, and advanced analytics that were funded by federal agencies, including the DoD, NASA, NIST, and the DOE. Today, in addition to his academic endeavors, Dr. Delen provides consulting services to businesses in assessing their information systems needs and developing state-of-the-art business analytics capabilities.

Dr. Delen holds William S. Spears and Neal Patterson Endowed Chairs in Business Analytics, and he is Director of Research for the Center for Health Systems Innovation and Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University. His research has appeared in major journals, including Decision Sciences, Decision Support Systems, Communications of the ACM, Computers and Operations Research, Computers in Industry, Journal of Production Operations Management, Artificial Intelligence in Medicine, and Expert Systems with Applications, among others. He has recently published six books: Advanced Data Mining Techniques (Springer, 2008), Decision Support and Business Intelligence Systems (Prentice Hall, 2010), Business Intelligence: A Managerial Approach (Prentice Hall, 2010), Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications (Elsevier, 2012), Business Intelligence: A Managerial Perspective on Analytics, 3rd edition (Prentice Hall, 2013), and Business Intelligence and Analytics: Systems for Decision Support, 10th edition (Prentice Hall, 2014). He served as the general co-chair for the fourth International Conference on Network Computing and Advanced Information Management, and he regularly chairs tracks and mini-tracks at various information systems conferences. He also serves as associate editor-in-chief, senior editor, associate editor, and editorial board member on a dozen academic and technical journals.