Advanced Data Mining and Applications: First International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005, Proceedings

Εξώφυλλο
Springer Science & Business Media, 12 Ιουλ 2005 - 835 σελίδες
With the ever-growing power to generate, transmit and collect huge amounts of data, information overload is now an imminent problem to mankind. The overwhelming demand for information processing is not just about a better - derstanding of data, but also a better usage of data in a timely fashion. Data mining, or knowledge discovery from databases, is proposed to gain insight into aspects of dataand to help peoplemakeinformed, sensible, andbetter decisions. At present, growing attention has been paid to the study, development and - plication of data mining. As a result there is an urgent need for sophisticated techniques and tools that can handle new ?elds of data mining, e.g., spatialdata mining, biomedical data mining, and mining on high-speed and time-variant data streams. The knowledge of data mining should also be expanded to new applications. The1stInternationalConferenceonAdvancedDataMiningandApplications (ADMA 2005) aimed to bring together the experts on data mining throughout the world. It provided a leading international forum for the dissemination of original research results in advanced data mining techniques, applications, al- rithms, software and systems, and di?erent applied disciplines. The conference attracted 539 online submissions and 63 mailing submissions from 25 di?erent countriesandareas.Allfullpaperswerepeer reviewedbyatleastthreemembers of the Program Committee composed of international experts in data mining ?elds. A total number of 100 papers were accepted for the conference. Amongst them 25 papers were selected as regular papers and 75 papers were selected as short papers, yielding a combined acceptance rate of 17%.
 

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Περιεχόμενα

Decision Making with Uncertainty and Data Mining
1
Complex Networks and Networked Data Mining
10
InDepth Data Mining and Its Application in Stock Market
13
Relevance of Counting in Data Mining Tasks
14
Term Graph Model for Text Classification
19
A Latent Usage Approach for Clustering Web Transaction and Building User Profile
31
Mining Quantitative Association Rules on Overlapped Intervals
43
An Approach to Mining Local Causal Relationships from Databases
51
A Novel Information Hiding Technique for Remote Sensing Image
423
ContentBased News Video Mining
431
Automatic Image Registration via Clustering and Convex Hull Vertices Matching
439
Fingerprint Image Segmentation Based on GaussianHermite Moments
446
A New Sequential Pattern Mining Algorithm Using Bitmap Representation
455
Aligning Multiple Sequences by Hybrid Genetic Algorithm
464
Independent Component Analysis for Clustering Multivariate Time Series Data
474
Applying Fuzzy Neural Network to Intrusion Detection Based on Sequences of System Calls
483

Mining Least Relational Patterns from Multi Relational Tables
59
Finding All Frequent Patterns Starting from the Closure
67
Multiagent Association Rules Mining in Cooperative Learning Systems
75
A New Technique for Visualizing Mined Association Rules
88
An Efficient Algorithm for Mining Both Closed and Maximal Frequent Free Subtrees Using Canonical Forms
96
Ensemble of CIDIM Classifiers
108
Partially Supervised Classification Based on Weighted Unlabeled Samples Support Vector Machine
118
Mining Correlated Rules for Associative Classification
130
A Comprehensively Sized Decision Tree Generation Method for Interactive Data Mining of Very Large Databases
141
Using Latent Class Models for Neighbors Selection in Collaborative Filtering
149
A Polynomial Smooth Support Vector Machine for Classification
157
Reducts in Incomplete Decision Tables
165
Learning kNearest Neighbor Naive Bayes for Ranking
175
One Dependence Augmented Naive Bayes
186
A Genetic kModes Algorithm for Clustering Categorical Data
195
A Fast Fuzzy Clustering Algorithm for LargeScale Datasets
203
Clustering with Noising Method
209
Extracting the Representative Failure Executions via Clustering Analysis Based on Markov Profile Model
217
Improvement on the Approximation Bound for FuzzyNeural Networks Clustering Method with Gaussian Membership Function
225
Optimal Fuzzy Modeling Based on Minimum Cluster Volume
232
An Efficient Clustering Approach for Large Document Collections
240
Clustering Categorical Data Using Coverage Density
248
A New Support Vector Machine for Data Mining
256
The Infinite Polynomial Kernel for Support Vector Machine
267
Set Theory
276
A Novel Data Mining Method Based on Ant Colony Algorithm
284
ContextSensitive Regression Analysis for Distributed Data
292
Customer Churn Prediction Using Improved OneClass Support Vector Machine
300
The Application of Adaptive Partitioned Random Search in Feature Selection Problem
307
Heuristic Scheduling of Concurrent Data Mining Queries
315
Using GapInsensitive String Kernel to Detect Masquerading
323
Iteration Method by Rectifying Eigenvalue
331
A NonVSM kNN Algorithm for Text Classification
339
A Study on Text Clustering Algorithms Based on Frequent Term Sets
347
Rules Weights
355
Word Segmentation and POS Tagging for Chinese Keyphrase Extraction
364
Learning User Profiles from Text in eCommerce
370
Data Mining Based on Objects in Video Flow with Dynamic Background
382
An Approach to Compressed Image Retrieval Based on JPEG2000 Framework
391
Target Segmentation and Feature Extraction for Undersea Image Based on Function Transformation
400
ART in Image Reconstruction with Narrow FanBeam Based on Data Mining
407
Digits Speech Recognition Based on Geometrical Learning
415
Design and Implementation of Web Mining System Based on Multiagent
491
A Novel Framework for Web Page Classification Using TwoStage Neural Network
499
Fuzzy Evaluation of Hotel Websites
507
Querying Web Images by Topic and Example Specification Methods
515
The Research on Fuzzy Data Mining Applied on Browser Records
527
Discovering Conceptual Page Hierarchy of a Web Site from User Traversal History
536
Bayesian Neural Networks for Prediction of Protein Secondary Structure
544
A Hybrid Machine Learning System for Recognition and Location of Transcription Start Sites in Human Genome
552
Robust Ensemble Learning for Cancer Diagnosis Based on Microarray Data Classification
564
A Comprehensive Benchmark of the Artificial Immune Recognition System AIRS
575
An Analysis of Missing Data Treatment Methods and Their Application to Health Care Dataset
583
String Problem
591
Mining Interesting Association Rules in Medical Images
598
Hybrid Feature Ranking for Proteins Classification
610
Predicting Subcellular Localization of Proteins Using Support Vector Machine with NTerminal Amino Composition
618
The Dynamic Character Curve Adjusting Model of Electric Load Based on Data Mining Theory
626
Using Boosting Learning Method for Intrusion Detection
634
RoleOf Relationship and Its Meta Model for Design Pattern Instantiation
642
Automatic Inspection of Industrial Sheetmetal Parts with Single Nonmetric CCD Camera
654
An Advanced Implementation of a Distributed Control Scheme Based on LonWorks System over IP Networks
662
Structural Damage Detection by Integrating Independent Component Analysis and Support Vector Machine
670
An LZ78 Based String Kernel
678
Classifying Class and Finding Community in UML Metamodel Network
690
An Adaptive Network Intrusion Detection Method Based on PCA and Support Vector Machines
696
Improved Grid Information Service Using the Idea of FileParted Replication
704
Dynamic Shape Modeling of Consumers Daily Load Based on Data Mining
712
A Study on the Mechanism of Virtual SANBased Spatial Data Storage with DoubleThoroughfare in Grid
720
A BP Neural Network Predictor Model for Desulfurizing Molten Iron
728
Rules Mining
736
Privacy Preserving Naive Bayes Classification
744
A Further Study on Inverse Frequent Set Mining
753
Mathematical Analysis of Classifying Convex Clusters Based on Support Functionals
761
Linear Belts Mining from Spatial Database with Mathematical Morphological Operators
769
Spatial Information Multigrid for Data Mining
777
A Uniform Framework of 3D Spatial Data Model and Data Mining from the Model
785
Mining Standard Land Price with Tension Spline Function
792
Mining Recent Frequent Itemsets in Data Streams by Radioactively Attenuating Strategy
804
User Subjectivity in Change Modeling of Streaming Itemsets
812
A GridBased Clustering Algorithm for HighDimensional Data Streams
824
Author Index
832
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