Data Mining in Public and Private Sectors_ Organizational and Government Applications [Syväjärvi & Stenvall 2010-06-01](1).pdf

Data Mining in Public and

Private Sectors:

Organizational and Government

Applications

Antti Syväjärvi

University of Lapland, Finland

Jari Stenvall

Tampere University, Finland

InformatIon scIence reference

Hershey • New York

Director of Editorial Content: Kristin Klinger

Director of Book Publications: Julia Mosemann

Acquisitions Editor:

Lindsay Johnston

Development Editor:

Joel Gamon

Publishing Assistant:

Keith Glazewski

Typesetter:

Michael Brehm

Production Editor:

Jamie Snavely

Cover Design:

Lisa Tosheff

Printed at:

Yurchak Printing Inc.

Published in the United States of America by

Information Science Reference (an imprint of IGI Global)

701 E. Chocolate Avenue

Hershey PA 17033

Tel: 717-533-8845

Fax: 717-533-8661

E-mail: cust@igi-global.com

Web site: http://www.igi-global.com/reference

any form or by any means, electronic or mechanical, including photocopying, without written permission from the publisher.

Product or company names used in this set are for identiication purposes only. Inclusion of the names of the products or

companies does not indicate a claim of ownership by IGI Global of the trademark or registered trademark.

Library of Congress Cataloging-in-Publication Data

Data mining in public and private sectors : organizational and government

applications / Antti Syvajarvi and Jari Stenvall, editors.

p. cm.

Includes bibliographical references and index.

Summary: "This book, which explores the manifestation of data mining and how

it can be enhanced at various levels of management, provides relevant

theoretical frameworks and the latest empirical research indings"--Provided

by publisher.

ISBN 978-1-60566-906-9 (hardcover) -- ISBN 978-1-60566-907-6 (ebook) 1.

Data mining. I. Syväjärvi, Antti. II. Stenvall, Jari.

QA76.9.D343D38323 2010

006.3'12--dc22

2010010160

British Cataloguing in Publication Data

A Cataloguing in Publication record for this book is available from the British Library.

All work contributed to this book is new, previously-unpublished material. The views expressed in this book are those of the

authors, but not necessarily of the publisher.

Table of Contents

Foreword .............................................................................................................................................xii

Preface ................................................................................................................................................xiv

Section 1

Data Mining Studied in Management and Government

Chapter 1

Before the Mining Begins: An Enquiry into the Data for Performance Measurement

in the Public Sector .................................................................................................................................1

Dries Verlet, Ghent University, Belgium

Carl Devos, Ghent University, Belgium

Chapter 2

Measuring the Financial Crisis in Local Governments through Data Mining ......................................21

José Luis Zafra-Gómez, Granada University, Spain

Antonio Manuel Cortés-Romero, Granada University, Spain

Chapter 3

Data Mining Using Fuzzy Decision Trees: An Exposition from a Study of Public

Services Strategy in the USA ................................................................................................................47

Malcolm J. Beynon, Cardiff University, UK

Martin Kitchener, Cardiff Business School, UK

Chapter 4

The Use of Data Mining for Assessing Performance of Administrative Services ................................67

Zdravko Pečar, University of Ljubljana, Slovenia

Ivan Bratko, University of Ljubljana, Slovenia

Chapter 5

Productivity Analysis of Public Services: An Application of Data Mining ..........................................83

Aki Jääskeläinen, Tampere University of Technology, Finland

Paula Kujansivu, Tampere University of Technology, Finland

Jaani Väisänen, Tampere University of Technology, Finland

Section 2

Data Mining as Privacy, Security and Retention of Data and Knowledge

Chapter 6

Perceptions of Students on Location-Based Privacy and Security with Mobile

Computing Technology .......................................................................................................................106

John C. Molluzzo, Pace University, USA

James P. Lawler, Pace University, USA

Pascale Vandepeutte, University of Mons-Hainaut, Belgium

Chapter 7

Privacy Preserving Data Mining: How Far Can We Go? ...................................................................125

Aris Gkoulalas-Divanis, Vanderbilt University, USA

Vassilios S. Verykios, University of Thessaly, Greece

Chapter 8

Data Mining Challenges in the Context of Data Retention ................................................................142

Konrad Stark, University of Vienna, Austria

Michael Ilger, Vienna University of Technology & University of Vienna, Austria

Wilfried N. Gansterer, University of Vienna, Austria

Chapter 9

On Data Mining and Knowledge: Questions of Validity ....................................................................162

Oliver Krone, Independent Scholar, Germany

Section 3

Data Mining in Organizational Situations to Prepare and Forecast

Chapter 10

Data Mining Methods for Crude Oil Market Analysis and Forecast ..................................................184

Jue Wang, Chinese Academy of Sciences, China

Wei Xu, Renmin University, China

Xun Zhang, Chinese Academy of Sciences, China

Yejing Bao, Beijing University of Technology, China

Ye Pang, The People’s Insurance Company (Group) of China, China

Shouyang Wang, Chinese Academy of Sciences, China

Chapter 11

Correlation Analysis in Classiiers ......................................................................................................204

Vincent Lemaire, France Télécom, France

Carine Hue, GFI Informatique, France

Olivier Bernier, France Télécom, France

Plik z chomika:

Inne pliki z tego folderu:

Inne foldery tego chomika: