Applied Data Mining: (Record no. 686544)

MARC details
000 -LEADER
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
Holdings
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
        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