Advances in Data Mining : Applications in Medicine, Web Mining, Marketing, Image and Signal Mining, 6th Industrial Conference on Data Mining, ICDM 2006, Leipzig, Germany, July 14-15, 2006, 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 ; 4065.

Lecture Notes in Artificial Intelligence ; 4065

Language:

English

Subjects (All):

Artificial intelligence.

Pattern perception.

Optical data processing.

Information storage and retrieval.

Application software.

Database management.

Artificial Intelligence.

Pattern Recognition.

Image Processing and Computer Vision.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Database Management.

Local Subjects:

Artificial Intelligence.

Pattern Recognition.

Image Processing and Computer Vision.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Database Management.

Physical Description:

1 online resource (XII, 600 pages).

Edition:

First edition 2006.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.

System Details:

text file PDF

Summary:

The Industrial Conference on Data Mining ICDM-Leipzig was the sixth event in a series of annual events which started in 2000. We are pleased to note that the topic data mining with special emphasis on real-world applications has been adopted by so many researchers all over the world into their research work. We received 156 papers from 19 different countries. The main topics are data mining in medicine and marketing, web mining, mining of images and signals, theoretical aspects of data mining, and aspects of data mining that bundle a series of different data mining applications such as intrusion detection, knowledge management, manufacturing process control, time-series mining and criminal investigations. The Program Committee worked hard in order to select the best papers. The acceptance rate was 30%. All these selected papers are published in this proceedings volume as long papers up to 15 pages. Moreover we installed a forum where work in progress was presented. These papers are collected in a special poster proceedings volume and show once more the potentials and interesting developments of data mining for different applications. Three new workshops have been established in connection with ICDM: (1) Mass Data Analysis on Images and Signals, MDA 2006; (2) Data Mining for Life Sciences, DMLS 2006; and (3) Data Mining in Marketing, DMM 2006. These workshops are developing new topics for data mining under the aspect of the special application. We are pleased to see how many interesting developments are going on in these fields.

Contents:

Data Mining in Medicine

Using Prototypes and Adaptation Rules for Diagnosis of Dysmorphic Syndromes

OVA Scheme vs. Single Machine Approach in Feature Selection for Microarray Datasets

Similarity Searching in DNA Sequences by Spectral Distortion Measures

Multispecies Gene Entropy Estimation, a Data Mining Approach

A Unified Approach for Discovery of Interesting Association Rules in Medical Databases

Named Relationship Mining from Medical Literature

Experimental Study of Evolutionary Based Method of Rule Extraction from Neural Networks in Medical Data

Web Mining and Logfile Analysis

httpHunting: An IBR Approach to Filtering Dangerous HTTP Traffic

A Comparative Performance Study of Feature Selection Methods for the Anti-spam Filtering Domain

Evaluation of Web Robot Discovery Techniques: A Benchmarking Study

Data Preparation of Web Log Files for Marketing Aspects Analyses

UP-DRES User Profiling for a Dynamic REcommendation System

Improving Effectiveness on Clickstream Data Mining

Conceptual Knowledge Retrieval with FooCA: Improving Web Search Engine Results with Contexts and Concept Hierarchies

Theoretical Aspects of Data Mining

A Pruning Based Incremental Construction Algorithm of Concept Lattice

Association Rule Mining with Chi-Squared Test Using Alternate Genetic Network Programming

Ordinal Classification with Monotonicity Constraints

Local Modelling in Classification on Different Feature Subspaces

Supervised Selection of Dynamic Features, with an Application to Telecommunication Data Preparation

Using Multi-SOMs and Multi-Neural-Gas as Neural Classifiers

Derivative Free Stochastic Discrete Gradient Method with Adaptive Mutation

Data Mining in Marketing

Association Analysis of Customer Services from the Enterprise Customer Management System

Feature Selection in an Electric Billing Database Considering Attribute Inter-dependencies

Learning the Reasons Why Groups of Consumers Prefer Some Food Products

Exploiting Randomness for Feature Selection in Multinomial Logit: A CRM Cross-Sell Application

Data Mining Analysis on Italian Family Preferences and Expenditures

Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing

A Scatter Search Algorithm for the Automatic Clustering Problem

Multi-objective Parameters Selection for SVM Classification Using NSGA-II

Effectiveness Evaluation of Data Mining Based IDS

Mining Signals and Images

Spectral Discrimination of Southern Victorian Salt Tolerant Vegetation

A Generative Graphical Model for Collaborative Filtering of Visual Content

A Variable Initialization Approach to the EM Algorithm for Better Estimation of the Parameters of Hidden Markov Model Based Acoustic Modeling of Speech Signals

Mining Dichromatic Colours from Video

Feature Analysis and Classification of Classical Musical Instruments: An Empirical Study

Automated Classification of Images from Crystallisation Experiments

Aspects of Data Mining

An Efficient Algorithm for Frequent Itemset Mining on Data Streams

Discovering Key Sequences in Time Series Data for Pattern Classification

Data Alignment Via Dynamic Time Warping as a Prerequisite for Batch-End Quality Prediction

A Distance Measure for Determining Similarity Between Criminal Investigations

Establishing Fraud Detection Patterns Based on Signatures

Intelligent Information Systems for Knowledge Work(ers)

Nonparametric Approaches for e-Learning Data

An Intelligent Manufacturing Process Diagnosis System Using Hybrid Data Mining

Computer Network Monitoring and Abnormal Event Detection Using Graph Matching and Multidimensional Scaling.

Other Format:

Printed edition:

ISBN:

978-3-540-36037-7

9783540360377

Access Restriction:

Restricted for use by site license.