Willkommen, schön sind Sie da!
Logo Ex Libris

Advanced Data Mining and Applications

  • E-Book (pdf)
  • 835 Seiten
(0) Erste Bewertung abgeben
Alle Bewertungen ansehen
Inhalt Keynote Papers.- Decision Making with Uncertainty and Data Mining.- Complex Networks and Networked Data Mining.- In-Depth D... Weiterlesen
E-Books ganz einfach mit der kostenlosen Ex Libris-Reader-App lesen. Hier erhalten Sie Ihren Download-Link.
CHF 186.90
Download steht sofort bereit
Informationen zu E-Books
E-Books eignen sich auch für mobile Geräte (sehen Sie dazu die Anleitungen).
E-Books von Ex Libris sind mit Adobe DRM kopiergeschützt: Erfahren Sie mehr.
Weitere Informationen finden Sie hier.
Bestellung & Lieferung in eine Filiale möglich



Keynote Papers.- Decision Making with Uncertainty and Data Mining.- Complex Networks and Networked Data Mining.- In-Depth Data Mining and Its Application in Stock Market.- Relevance of Counting in Data Mining Tasks.- Invited Papers.- Term Graph Model for Text Classification.- A Latent Usage Approach for Clustering Web Transaction and Building User Profile.- Association Rules.- Mining Quantitative Association Rules on Overlapped Intervals.- An Approach to Mining Local Causal Relationships from Databases.- Mining Least Relational Patterns from Multi Relational Tables.- Finding All Frequent Patterns Starting from the Closure.- Multiagent Association Rules Mining in Cooperative Learning Systems.- VisAR : A New Technique for Visualizing Mined Association Rules.- An Efficient Algorithm for Mining Both Closed and Maximal Frequent Free Subtrees Using Canonical Forms.- Classification.- E-CIDIM: Ensemble of CIDIM Classifiers.- Partially Supervised Classification - Based on Weighted Unlabeled Samples Support Vector Machine.- Mining Correlated Rules for Associative Classification.- A Comprehensively Sized Decision Tree Generation Method for Interactive Data Mining of Very Large Databases.- Using Latent Class Models for Neighbors Selection in Collaborative Filtering.- A Polynomial Smooth Support Vector Machine for Classification.- Reducts in Incomplete Decision Tables.- Learning k-Nearest Neighbor Naive Bayes for Ranking.- One Dependence Augmented Naive Bayes.- Clustering.- A Genetic k-Modes Algorithm for Clustering Categorical Data.- A Fast Fuzzy Clustering Algorithm for Large-Scale Datasets.- Clustering with Noising Method.- Extracting the Representative Failure Executions via Clustering Analysis Based on Markov Profile Model.- Improvement on the Approximation Bound for Fuzzy-Neural Networks Clustering Method with Gaussian Membership Function.- Optimal Fuzzy Modeling Based on Minimum Cluster Volume.- An Efficient Clustering Approach for Large Document Collections.- Clustering Categorical Data Using Coverage Density.- Novel Algorithms.- A New Support Vector Machine for Data Mining.- The Infinite Polynomial Kernel for Support Vector Machine.- Routing Attribute Data Mining Based on Rough Set Theory.- A Novel Data Mining Method Based on Ant Colony Algorithm.- Context-Sensitive Regression Analysis for Distributed Data.- Customer Churn Prediction Using Improved One-Class Support Vector Machine.- The Application of Adaptive Partitioned Random Search in Feature Selection Problem.- Heuristic Scheduling of Concurrent Data Mining Queries.- Using Gap-Insensitive String Kernel to Detect Masquerading.- A New Method for Linear Ill-Posed Problems: Iteration Method by Rectifying Eigenvalue.- Text Mining.- A Non-VSM kNN Algorithm for Text Classification.- A Study on Text Clustering Algorithms Based on Frequent Term Sets.- An Improvement of Text Association Classification Using Rules Weights.- Word Segmentation and POS Tagging for Chinese Keyphrase Extraction.- Learning User Profiles from Text in e-Commerce.- Multimedia Mining.- Data Mining Based on Objects in Video Flow with Dynamic Background.- An Approach to Compressed Image Retrieval Based on JPEG2000 Framework.- Target Segmentation and Feature Extraction for Undersea Image Based on Function Transformation.- ART in Image Reconstruction with Narrow Fan-Beam Based on Data Mining.- Digits Speech Recognition Based on Geometrical Learning.- A Novel Information Hiding Technique for Remote Sensing Image.- Content-Based News Video Mining.- Automatic Image Registration via Clustering and Convex Hull Vertices Matching.- Fingerprint Image Segmentation Based on Gaussian-Hermite Moments.- Sequential Data Mining and Time Series Mining.- HVSM: A New Sequential Pattern Mining Algorithm Using Bitmap Representation.- HGA-COFFEE : Aligning Multiple Sequences by Hybrid Genetic Algorithm.- Independent Component Analysis for Clustering Multivariate Time Series Data.- Applying Fuzzy Neural Network to Intrusion Detection Based on Sequences of System Calls.- Web Mining.- Design and Implementation of Web Mining System Based on Multi-agent.- A Novel Framework for Web Page Classification Using Two-Stage Neural Network.- Fuzzy Evaluation of Hotel Websites.- Querying Web Images by Topic and Example Specification Methods.- The Research on Fuzzy Data Mining Applied on Browser Records.- Discovering Conceptual Page Hierarchy of a Web Site from User Traversal History.- Biomedical Mining.- Bayesian Neural Networks for Prediction of Protein Secondary Structure.- PromPredictor: A Hybrid Machine Learning System for Recognition and Location of Transcription Start Sites in Human Genome.- Robust Ensemble Learning for Cancer Diagnosis Based on Microarray Data Classification.- A Comprehensive Benchmark of the Artificial Immune Recognition System (AIRS).- An Analysis of Missing Data Treatment Methods and Their Application to Health Care Dataset.- Parallel Genetic Algorithm and Parallel Simulated Annealing Algorithm for the Closest String Problem.- Mining Interesting Association Rules in Medical Images.- Hybrid Feature Ranking for Proteins Classification.- Predicting Subcellular Localization of Proteins Using Support Vector Machine with N-Terminal Amino Composition.- Advanced Applications.- The Dynamic Character Curve Adjusting Model of Electric Load Based on Data Mining Theory.- Using Boosting Learning Method for Intrusion Detection.- RoleOf Relationship and Its Meta Model for Design Pattern Instantiation.- Automatic Inspection of Industrial Sheetmetal Parts with Single Non-metric CCD Camera.- An Advanced Implementation of a Distributed Control Scheme Based on LonWorks System over IP Networks.- Structural Damage Detection by Integrating Independent Component Analysis and Support Vector Machine.- An LZ78 Based String Kernel.- Classifying Class and Finding Community in UML Metamodel Network.- An Adaptive Network Intrusion Detection Method Based on PCA and Support Vector Machines.- Improved Grid Information Service Using the Idea of File-Parted Replication.- Dynamic Shape Modeling of Consumers' Daily Load Based on Data Mining.- A Study on the Mechanism of Virtual SAN-Based Spatial Data Storage with Double-Thoroughfare in Grid.- A BP Neural Network Predictor Model for Desulfurizing Molten Iron.- A Flexible Report Architecture Based on Association Rules Mining.- Security and Privacy Issues.- Privacy Preserving Naive Bayes Classification.- A Further Study on Inverse Frequent Set Mining.- Spatial Data Mining.- Mathematical Analysis of Classifying Convex Clusters Based on Support Functionals.- Linear Belts Mining from Spatial Database with Mathematical Morphological Operators.- Spatial Information Multi-grid for Data Mining.- A Uniform Framework of 3D Spatial Data Model and Data Mining from the Model.- Mining Standard Land Price with Tension Spline Function.- Streaming Data Mining.- Mining Recent Frequent Itemsets in Data Streams by Radioactively Attenuating Strategy.- User Subjectivity in Change Modeling of Streaming Itemsets.- A Grid-Based Clustering Algorithm for High-Dimensional Data Streams.


Titel: Advanced Data Mining and Applications
Untertitel: First International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005, Proceedings
EAN: 9783540318774
Digitaler Kopierschutz: Wasserzeichen
Format: E-Book (pdf)
Hersteller: Springer Berlin Heidelberg
Genre: IT & Internet
Anzahl Seiten: 835
Veröffentlichung: 02.10.2003
Dateigrösse: 11.5 MB

Weitere Bände aus der Buchreihe "Lecture Notes in Computer Science"