Applied Data Mining: (Record no. 686544)
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000 -LEADER | |
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fixed length control field | 02497nam a2200217 4500 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 047084678X |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9789759019020 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 0470846798 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Item number | PAO |
084 ## - OTHER CLASSIFICATION NUMBER | |
Source of Number | Colon Classification |
100 ## - MAIN ENTRY--AUTHOR NAME | |
Personal name | Paolo, Giudici |
245 ## - TITLE STATEMENT | |
Title | Applied Data Mining: |
Sub Title | Statistical Methods For Business And Industry/ |
Statement of responsibility, etc | Giudici Paolo |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication | New York : |
Name of publisher | J. Wiley, |
Year of publication | c2003. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | xii, 364 p. : |
Other physical details | ill. : 24 cm. |
500 ## - GENERAL NOTE | |
General note | Includes bibliographical references (p. [353]-356) and index. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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 . Contents same as US/UK editions. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Data mining. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Commercial statistics. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Business--Data processing. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Book |
Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home Library | Current Location | Shelving location | Date acquired | Cost, normal purchase price | Full call number | Accession Number | Price effective from | Koha item type |
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Knowledge Management | Dept. of Futures Studies | Dept. of Futures Studies | Processing Center | 24/05/2023 | 256.41 | 006.3 PAO | DFSKM87 | 24/05/2023 | Book |