Advances in Data Mining - Theoretical Aspects and Applications : 7th Industrial Conference, ICDM 2007, Leipzig, Germany, July 14-18, 2007, Proceedings / 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 ; 4597.

Lecture Notes in Artificial Intelligence ; 4597

Language:

English

Subjects (All):

Database management.

Pattern perception.

Optical data processing.

Data mining.

Application software.

Artificial intelligence.

Database Management.

Pattern Recognition.

Image Processing and Computer Vision.

Data Mining and Knowledge Discovery.

Information Systems Applications (incl. Internet).

Artificial Intelligence.

Local Subjects:

Database Management.

Pattern Recognition.

Image Processing and Computer Vision.

Data Mining and Knowledge Discovery.

Information Systems Applications (incl. Internet).

Artificial Intelligence.

Physical Description:

1 online resource (XI, 356 pages).

Edition:

First edition 2007.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.

System Details:

text file PDF

Summary:

ICDM / MLDM Medaillie (limited edition) Meissner Porcellan, the "White Gold" of King August the Strongest of Saxonia ICDM 2007 was the seventh event in the Industrial Conference on Data Mining series and was held in Leipzig (www.data-mining-forum.de). For this edition the Program Committee received 96 submissions from 24 countries (see Fig. 1). After the peer-review process, we accepted 25 high-quality papers for oral presentation that are included in this proceedings book. The topics range from aspects of classification and prediction, clustering, Web mining, data mining in medicine, applications of data mining, time series and frequent pattern mining, and association rule mining. Germany 9,30% 4,17% China 9,30% 1,04% 6,98% 3,13% South Korea Czech Republic 6,98% 3,13% USA 6,98% 2,08% 4,65% 2,08% UK Portugal 4,65% 2,08% Iran 4,65% 2,08% India 4,65% 2,08% Brazil 4,65% 1,04% Hungary 4,65% 1,04% Mexico 4,65% 1,04% Finland 2,33% 1,04% Ireland 2,33% 1,04% Slovenia 2,33% 1,04% France 2,33% 1,04% Israel 2,33% 1,04% Spain 2,33% 1,04% Greece 2,33% 1,04% Italy 2,33% 1,04% Sweden 2,33% 1,04% Netherlands 2,33% 1,04% Malaysia 2,33% 1,04% Turkey 2,33% 1,04% Fig. 1. Distribution of papers among countries Twelve papers were selected for poster presentations that are published in the ICDM Poster Proceedings Volume.

Contents:

Invited Talk

Case Based Reasoning and the Search for Knowledge

Aspects of Classification and Prediction

Subsets More Representative Than Random Ones

Concepts for Novelty Detection and Handling Based on a Case-Based Reasoning Process Scheme

An Efficient Algorithm for Instance-Based Learning on Data Streams

Softening the Margin in Discrete SVM

Feature Selection Using Ant Colony Optimization (ACO): A New Method and Comparative Study in the Application of Face Recognition System

Outlier Detection with Streaming Dyadic Decomposition

VISRED -Numerical Data Mining with Linear and Nonlinear Techniques

Clustering

Clustering by Random Projections

Lightweight Clustering Technique for Distributed Data Mining Applications

Web Mining

Predicting Page Occurrence in a Click-Stream Data: Statistical and Rule-Based Approach

Improved IR in Cohesion Model for Link Detection System

Improving a State-of-the-Art Named Entity Recognition System Using the World Wide Web

Data Mining in Medicine

ISOR-2: A Case-Based Reasoning System to Explain Exceptional Dialysis Patients

The Role of Prototypical Cases in Biomedical Case-Based Reasoning

Applications of Data Mining

A Search Space Reduction Methodology for Large Databases: A Case Study

Combining Traditional and Neural-Based Techniques for Ink Feed Control in a Newspaper Printing Press

Active Learning Strategies: A Case Study for Detection of Emotions in Speech

Neural Business Control System

A Framework for Discovering and Analyzing Changing Customer Segments

Collaborative Filtering Using Electrical Resistance Network Models

Visual Query and Exploration System for Temporal Relational Database

Towards an Online Image-Based Tree Taxonomy

Distributed Generative Data Mining

Time Series and Frequent Pattern Mining

Privacy-Preserving Discovery of Frequent Patterns in Time Series

Efficient Non Linear Time Series Prediction Using Non Linear Signal Analysis and Neural Networks in Chaotic Diode Resonator Circuits

Association Minnig

Using Disjunctions in Association Mining.

Other Format:

Printed edition:

ISBN:

978-3-540-73435-2

9783540734352

Access Restriction:

Restricted for use by site license.