Applied data mining : statistical methods for business and industry / Paolo Giudici.
نوع المادة : نصالناشر:New York : J. Wiley, 2003وصف:xii, 364 pages : illustrations ; 24 cmنوع المحتوى:- text
- unmediated
- volume
- 047084678X (hbk)
- 978-0470846780 (hbk)
- QA76.9.D343 G75 2003
نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
---|---|---|---|---|---|---|---|
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA76.9.D343 G75 2003 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30010000012318 | ||
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA76.9.D343 G75 2003 (إستعراض الرف(يفتح أدناه)) | C.2 | المتاح | 30010000012319 |
Browsing UAE Federation Library | مكتبة اتحاد الإمارات shelves, Shelving location: General Collection | المجموعات العامة إغلاق مستعرض الرف(يخفي مستعرض الرف)
QA76.9.D343 F676 2017 Formal concept analysis of social networks / | QA76.9.D343 F736 2012 Taming the big data tidal wave : finding opportunities in huge data streams with advanced analytics / | QA76.9.D343 F736 2012 Taming the big data tidal wave : finding opportunities in huge data streams with advanced analytics / | QA76.9.D343 G75 2003 Applied data mining : statistical methods for business and industry / | QA76.9.D343 G75 2003 Applied data mining : statistical methods for business and industry / | QA76.9.D343 H33 2019 ثورة البيانات وآثارها المجتمعية والتنموية والعلمية / | QA76.9.D343 H33 2019 ثورة البيانات وآثارها المجتمعية والتنموية والعلمية / |
Includes bibliographical references (pages [353]-356) and index.
Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. The increasing availability of data in the current information society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract such knowledge from data. Applications occur in many different fields, including statistics, computer science, machine learning, economics, marketing and finance. This book is the first to describe applied data mining methods in a consistent statistical framework, and then show how they can be applied in practice. All the methods described are either computational, or of a statistical modelling nature. Complex probabilistic models and mathematical tools are not used, so the book is accessible to a wide audience of students and industry professionals. The second half of the book consists of nine case studies, taken from the author's own work in industry, that demonstrate how the methods described can be applied to real problems. Provides a solid introduction to applied data mining methods in a consistent statistical framework Includes coverage of classical, multivariate and Bayesian statistical methodology Includes many recent developments such as web mining, sequential Bayesian analysis and memory based reasoning Each statistical method described is illustrated with real life applications Features a number of detailed case studies based on applied projects within industry Incorporates discussion on software used in data mining, with particular emphasis on SAS Supported by a website featuring data sets, software and additional material Includes an extensive bibliography and pointers to further reading within the text Author has many years experience teaching introductory and multivariate statistics and data mining, and working on applied projects within industry A valuable resource for advanced undergraduate and graduate students of applied statistics, data mining, computer science and economics, as well as for professionals working in industry on projects involving large volumes of data - such as in marketing or financial risk management.