Издательство IBM Press, 2008, -168 pp.We have made a conscious effort in writing this book to reach out beyond the data mining community. We have strived to write this book for a general audience, including business executives, engineers, and students having an interest in studying this field as a potential career. The audience for this book is primarily business professionals who have data management or analysis responsibility or needs. This would include business consultants, managers and executives, IT professionals, knowledge workers, market analysts, and those involved in the management of intellectual property. The reader benefits from the book by seeing how data and text-mining techniques and processes can be employed to solve real-world business problems. The book does not assume a high level of familiarity with data mining or analytic concepts. It is primarily a qualitative description of our technique, though some quantitative supporting details are supplied. There is no prerequisite background required of the reader, though a mathematical or analytic background will certainly help. This book is also very relevant to students in data mining or machine learning, because it demonstrates some proven, practical approaches to real-world text-mining problems that will complement the techniques typically taught in academiaIntroduction
Mining Customer Interactions
Mining the Voice of the Customer
Mining the Voice of the Employee
Mining to Improve Innovation
Mining to See the Future
Future Applications
