Amazon cover image
Image from Amazon.com

Advances in data mining : applications and theoretical aspects : 10th industrial conference, ICDM 2010, Berlin, Germany, July 12-14, 2010 : proceedings / Petra Perner (ed.).

By: (10th : Industrial Conference on Data Mining (10th : 2010 : Berlin, Germany)Contributor(s): Perner, PetraMaterial type: TextTextSeries: Serienbezeichnung | Lecture notes in computer science ; 6171. | Lecture notes in computer science. Lecture notes in artificial intelligence. | LNCS sublibrary. SL 7, Artificial intelligence.Publication details: Berlin ; New York : Springer, ©2010. Description: 1 online resource (xiii, 654 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783642144004; 3642144004; 1280387955; 9781280387951; 9786613565877; 6613565873Other title: ICDM 2010Subject(s): Data mining -- Congresses | Data Mining | Exploration de données (Informatique) -- Congrès | Informatique | Data miningGenre/Form: Congress | Electronic books. | Conference papers and proceedings. Additional physical formats: Print version:: Advances in Data Mining.DDC classification: 006.3/12 LOC classification: QA76.9.D343 | I53 2010NLM classification: QA76.9.D343Other classification: 54.64 Online resources: Click here to access online
Contents:
Invited Talk -- Moving Targets -- Bioinformatics Contributions to Data Mining -- Theoretical Aspects of Data Mining -- Bootstrap Feature Selection for Ensemble Classifiers -- Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths -- Finding Irregularly Shaped Clusters Based on Entropy -- Fuzzy Conceptual Clustering -- Mining Concept Similarities for Heterogeneous Ontologies -- Re-mining Positive and Negative Association Mining Results -- Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining -- Describing Data with the Support Vector Shell in Distributed Environments -- Robust Clustering Using Discriminant Analysis -- New Approach in Data Stream Association Rule Mining Based on Graph Structure -- Multimedia Data Mining -- Fast Training of Neural Networks for Image Compression -- Processing Handwritten Words by Intelligent Use of OCR Results -- Saliency-Based Candidate Inspection Region Extraction in Tape Automated Bonding -- Image Classification Using Histograms and Time Series Analysis: A Study of Age-Related Macular Degeneration Screening in Retinal Image Data -- Entropic Quadtrees and Mining Mars Craters -- Hybrid DIAAF/RS: Statistical Textual Feature Selection for Language-Independent Text Classification -- Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders -- Comparison of Redundancy and Relevance Measures for Feature Selection in Tissue Classification of CT Images -- Data Mining in Marketing -- Quantile Regression Model for Impact Toughness Estimation -- Mining for Paths in Flow Graphs -- Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis -- Managing Product Life Cycle with MultiAgent Data Mining System -- Modeling Pricing Strategies Using Game Theory and Support Vector Machines -- Data Mining in Industrial Processes -- Determination of the Fault Quality Variables of a Multivariate Process Using Independent Component Analysis and Support Vector Machine -- Dynamic Pattern Extraction of Parameters in Laser Welding Process -- Trajectory Clustering for Vibration Detection in Aircraft Engines -- Episode Rule-Based Prognosis Applied to Complex Vacuum Pumping Systems Using Vibratory Data -- Predicting Disk Failures with HMM- and HSMM-Based Approaches -- Aircraft Engine Health Monitoring Using Self-Organizing Maps -- Data Mining in Medicine -- Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy -- Selection of High Risk Patients with Ranked Models Based on the CPL Criterion Functions -- Medical Datasets Analysis: A Constructive Induction Approach -- Data Mining in Agriculture -- Regression Models for Spatial Data: An Example from Precision Agriculture -- Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database -- WebMining -- Spam Email Filtering Using Network-Level Properties -- Domain-Specific Identification of Topics and Trends in the Blogosphere -- Combining Business Process and Data Discovery Techniques for Analyzing and Improving Integrated Care Pathways -- Interest-Determining Web Browser -- Web-Site Boundary Detection -- Data Mining in Finance -- An Application of Element Oriented Analysis Based Credit Scoring -- A Semi-supervised Approach for Reject Inference in Credit Scoring Using SVMs -- Aspects of Data Mining -- Data Mining with Neural Networks and Support Vector Machines Using the R/rminer Tool -- The Orange Customer Analysis Platform -- Semi-supervised Learning for False Alarm Reduction -- Learning from Humanoid Cartoon Designs -- Mining Relationship Associations from Knowledge about Failures Using Ontology and Inference -- Data Mining for Network Performance Monitoring -- Event Prediction in Network Monitoring Systems: Performing Sequential Pattern Mining in Osmius Monitoring Tool -- Selection of Effective Network Parameters in Attacks for Intrusion Detection.
In: Springer eBooksSummary: Annotation This book constitutes the refereed proceedings of the 10th Industrial Conference on Data Mining, ICDM 2010, held in Berlin, Germany in July 2010. The 48 revised full papers presented together with two invited papers were carefully reviewed and selected from 175 submissions. The papers are organized in topical sections on theoretical aspects of data mining, multimedia data mining, data mining in marketing, data mining in industrial processes, data mining in medicine, data mining in agriculture, Webmining, data mining in finance, aspects of data mining, and data mining for network performance monitoring.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library

Electronic Book@IST

EBook Available
Total holds: 0

Includes bibliographical references and author index.

Annotation This book constitutes the refereed proceedings of the 10th Industrial Conference on Data Mining, ICDM 2010, held in Berlin, Germany in July 2010. The 48 revised full papers presented together with two invited papers were carefully reviewed and selected from 175 submissions. The papers are organized in topical sections on theoretical aspects of data mining, multimedia data mining, data mining in marketing, data mining in industrial processes, data mining in medicine, data mining in agriculture, Webmining, data mining in finance, aspects of data mining, and data mining for network performance monitoring.

Invited Talk -- Moving Targets -- Bioinformatics Contributions to Data Mining -- Theoretical Aspects of Data Mining -- Bootstrap Feature Selection for Ensemble Classifiers -- Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths -- Finding Irregularly Shaped Clusters Based on Entropy -- Fuzzy Conceptual Clustering -- Mining Concept Similarities for Heterogeneous Ontologies -- Re-mining Positive and Negative Association Mining Results -- Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining -- Describing Data with the Support Vector Shell in Distributed Environments -- Robust Clustering Using Discriminant Analysis -- New Approach in Data Stream Association Rule Mining Based on Graph Structure -- Multimedia Data Mining -- Fast Training of Neural Networks for Image Compression -- Processing Handwritten Words by Intelligent Use of OCR Results -- Saliency-Based Candidate Inspection Region Extraction in Tape Automated Bonding -- Image Classification Using Histograms and Time Series Analysis: A Study of Age-Related Macular Degeneration Screening in Retinal Image Data -- Entropic Quadtrees and Mining Mars Craters -- Hybrid DIAAF/RS: Statistical Textual Feature Selection for Language-Independent Text Classification -- Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders -- Comparison of Redundancy and Relevance Measures for Feature Selection in Tissue Classification of CT Images -- Data Mining in Marketing -- Quantile Regression Model for Impact Toughness Estimation -- Mining for Paths in Flow Graphs -- Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis -- Managing Product Life Cycle with MultiAgent Data Mining System -- Modeling Pricing Strategies Using Game Theory and Support Vector Machines -- Data Mining in Industrial Processes -- Determination of the Fault Quality Variables of a Multivariate Process Using Independent Component Analysis and Support Vector Machine -- Dynamic Pattern Extraction of Parameters in Laser Welding Process -- Trajectory Clustering for Vibration Detection in Aircraft Engines -- Episode Rule-Based Prognosis Applied to Complex Vacuum Pumping Systems Using Vibratory Data -- Predicting Disk Failures with HMM- and HSMM-Based Approaches -- Aircraft Engine Health Monitoring Using Self-Organizing Maps -- Data Mining in Medicine -- Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy -- Selection of High Risk Patients with Ranked Models Based on the CPL Criterion Functions -- Medical Datasets Analysis: A Constructive Induction Approach -- Data Mining in Agriculture -- Regression Models for Spatial Data: An Example from Precision Agriculture -- Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database -- WebMining -- Spam Email Filtering Using Network-Level Properties -- Domain-Specific Identification of Topics and Trends in the Blogosphere -- Combining Business Process and Data Discovery Techniques for Analyzing and Improving Integrated Care Pathways -- Interest-Determining Web Browser -- Web-Site Boundary Detection -- Data Mining in Finance -- An Application of Element Oriented Analysis Based Credit Scoring -- A Semi-supervised Approach for Reject Inference in Credit Scoring Using SVMs -- Aspects of Data Mining -- Data Mining with Neural Networks and Support Vector Machines Using the R/rminer Tool -- The Orange Customer Analysis Platform -- Semi-supervised Learning for False Alarm Reduction -- Learning from Humanoid Cartoon Designs -- Mining Relationship Associations from Knowledge about Failures Using Ontology and Inference -- Data Mining for Network Performance Monitoring -- Event Prediction in Network Monitoring Systems: Performing Sequential Pattern Mining in Osmius Monitoring Tool -- Selection of Effective Network Parameters in Attacks for Intrusion Detection.

English.

Powered by Koha