Advances in Data Mining : Applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Telecommunications; 4th Industrial Conference on Data Mining, ICDM 2004, Leipzig, Germany, July 4-7, 2004, Revised Selected Papers / edited by Petra Perner.

Format:

Book

Contributor:

Perner, Petra, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 3275.

Lecture Notes in Artificial Intelligence ; 3275

Language:

English

Subjects (All):

Artificial intelligence.

Computer science.

Database management.

Computers and civilization.

Optical data processing.

Application software.

Artificial Intelligence.

Computer Science, general.

Database Management.

Computers and Society.

Image Processing and Computer Vision.

Computer Appl. in Administrative Data Processing.

Local Subjects:

Artificial Intelligence.

Computer Science, general.

Database Management.

Computers and Society.

Image Processing and Computer Vision.

Computer Appl. in Administrative Data Processing.

Physical Description:

1 online resource (VIII, 176 pages).

Edition:

First edition 2005.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.

System Details:

text file PDF

Summary:

The Industrial Conference on Data Mining ICDM-Leipzig was the fourth meeting in a series of annual events which started in 2000, organized by the Institute of Computer Vision and Applied Computer Sciences (IBaI) in Leipzig. The mission of the conference is to bring together researchers and people from industry in order to discuss together new trends and applications in data mining. This year a broad spectrum of work of different applications was presented ranging from image mining, medicine and biotechnology, management and environmental control, to telecommunications. Besides that an industrial exhibition showed the successful application of data mining methods by industries in different areas such as medical devices, mass data management systems, data mining tools, et cetera During the discussion many projects were inspired leading to new and joint work. The fruitful discussions, the exchange of ideas and the spirit of the conference made it a remarkable event for both sides, industry and research. We would like to express our appreciation to the reviewers for their precise and highly professional work. We appreciate the help and understanding of the editorial staff at Springer and in particular Alfred Hofmann, who supported the publication of these proceedings in the LNAI series. Last, but not least, we wish to thank all speakers, participants and industrial exhibitors who contributed to the success of the conference. We are looking forward to welcoming you to ICDM 2005 (www.data-mini- forum.de) and to the new work you will present there.

Contents:

Case-Based Reasoning

Neuro-symbolic System for Business Internal Control

Applying Case Based Reasoning Approach in Analyzing Organizational Change Management Data

Improving the K-NN Classification with the Euclidean Distance Through Linear Data Transformations

An IBR System to Quantify the Ocean's Carbon Dioxide Budget

A Beta-Cooperative CBR System for Constructing a Business Management Model

Image Mining

Braving the Semantic Gap: Mapping Visual Concepts from Images and Videos

Mining Images to Find General Forms of Biological Objects

Applications in Process Control and Insurance

The Main Steps to Data Quality

Cost-Sensitive Design of Claim Fraud Screens

An Early Warning System for Vehicle Related Quality Data

Clustering and Association Rules

Shape-Invariant Cluster Validity Indices

Mining Indirect Association Rules

An Association Mining Method for Time Series and Its Application in the Stock Prices of TFT-LCD Industry

Clustering of Web Sessions Using Levenshtein Metric

Telecommunication

A Data Mining Approach for Call Admission Control and Resource Reservation in Wireless Mobile Networks

Mining of an Alarm Log to Improve the Discovery of Frequent Patterns

Medicine and Biotechnology

Feature Selection and Classification Model Construction on Type 2 Diabetic Patient's Data

Knowledge Based Phylogenetic Classification Mining.

Other Format:

Printed edition:

ISBN:

978-3-540-30185-1

9783540301851

Access Restriction:

Restricted for use by site license.