Advanced Data Mining and Applications: Third International Conference, ADMA 2007, Harbin, China, August 6-8, 2007 Proceedings

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Springer Science & Business Media, Jul 17, 2007 - Computers - 634 pages
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The Third International Conference on Advanced Data Mining and Applications (ADMA) organized in Harbin, China continued the tradition already established by the first two ADMA conferences in Wuhan in 2005 and Xi’an in 2006. One major goal of ADMA is to create a respectable identity in the data mining research com- nity. This feat has been partially achieved in a very short time despite the young age of the conference, thanks to the rigorous review process insisted upon, the outstanding list of internationally renowned keynote speakers and the excellent program each year. The impact of a conference is measured by the citations the conference papers receive. Some have used this measure to rank conferences. For example, the independent source cs-conference-ranking.org ranks ADMA (0.65) higher than PAKDD (0.64) and PKDD (0.62) as of June 2007, which are well established conferences in data mining. While the ranking itself is questionable because the exact procedure is not disclosed, it is nevertheless an encouraging indicator of recognition for a very young conference such as ADMA.
 

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Contents

Mining Ambiguous Data with Multiinstance Multilabel Representation
1
A Lazy Approach for Mining Frequent Patterns over High Speed Data Streams
2
Exploring Content and Linkage Structures for Searching Relevant Web Pages
15
CLBCRAApproach for Combination of ContentBased and LinkBased Ranking in Web Search
23
Rough Sets in Hybrid Soft Computing Systems
35
Discovering Novel Multistage Attack Strategies
45
Privacy Preserving DBSCAN Algorithm for Clustering
57
A New Multilevel Algorithm Based on Particle Swarm Optimization for Bisecting Graph
69
Prediction of Protein Subcellular Locations by Combining KLocal Hyperplane Distance Nearest Neighbor
345
A Similarity Retrieval Method in Brain Image Sequence Database
352
A Criterion for Learning the DataDependent Kernel for Classification
365
Topic Extraction with AGAPE
377
Clustering Massive Text Data Streams by Semantic Smoothing Model
389
A Novel Approximate Mining Approach of Sequential Patterns over Data Stream
401
A Novel Greedy Bayesian Network Structure Learning Algorithm for Limited Data
412
Optimum Neural Network Construction Via Linear Programming Minimum Sphere Set Covering
422

Supervised Neighborhood Preserving Embedding
81
A kAnonymity Clustering Method for Effective Data Privacy Preservation
89
LSSVM with Fuzzy Preprocessing Model Based Aero Engine Data Mining Technology
100
A Coding Hierarchy Computing Based Clustering Algorithm
110
Mining Both Positive and Negative Association Rules from Frequent and Infrequent Itemsets
122
Survey of Improving Naive Bayes for Classification
134
Privacy Preserving BIRCH Algorithm for Clustering over Arbitrarily Partitioned Databases
146
Unsupervised Outlier Detection in Sensor Networks Using Aggregation Tree
158
Sifting Hierarchical Heavy Hitters Accurately from Data Streams
170
Spatial Fuzzy Clustering Using Varying Coefficients
183
Collaborative Target Classification for Image Recognition in Wireless Sensor Networks
191
Dimensionality Reduction for Mass Spectrometry Data
203
The Study of Dynamic Aggregation of Relational Attributes on Relational Data Mining
214
Learning Optimal Kernel from Distance Metric in Twin Kernel Embedding for Dimensionality Reduction and Visualization of Fingerprints
227
Efficiently Monitoring Nearest Neighbors to a Moving Object
239
A Novel Text Classification Approach Based on Enhanced Association Rule
252
Applications of the Moving Average of nᵗʰOrder Difference Algorithm for Time Series Prediction
264
Inference of Gene Regulatory Network by Bayesian Network Using MetropolisHastings Algorithm
276
A Consensus Recommender for Web Users
287
Constructing Classification Rules Based on SVR and Its Derivative Characteristics
300
Hiding Sensitive Associative Classification Rule by Data Reduction
310
AOGags Algorithms and Applications
323
A Framework for Titled Document Categorization with Modified Multinomial Naivebayes Classifier
335
Networks
430
Prediction of Enzyme Class by Using Reactive Motifs Generated from Binding and Catalytic Sites
442
Bayesian Network Structure Ensemble Learning
454
Fusion of Palmprint and Iris for Personal Authentication
466
Enhanced Graph Based Genealogical Record Linkage
476
A Fuzzy Comprehensive Clustering Method
488
A Novel Classification Algorithm Based on Concept Similarity
500
A Retrospective Analysis
508
Chinese Patent Mining Based on Sememe Statistics and KeyPhrase Extraction
516
Classification of Business Travelers Using SVMs Combined with Kernel Principal Component Analysis
524
Research on the Traffic Matrix Based on Sampling Model
533
A Causal Analysis for the Expenditure Data of Business Travelers
545
A Visual and Interactive Data Exploration Method for Large Data Sets and Clustering
553
Explorative Data Mining on Stock Data Experimental Results and Findings
562
Graph Structural Mining in Terrorist Networks
570
Characterizing Pseudobase and Predicting RNA Secondary Structure with Simple HType Pseudoknots Based on Dynamic Programming
578
Locally Discriminant Projection with Kernels for Feature Extraction
586
A GABased Feature Subset Selection and Parameter Optimization of Support Vector Machine for ContentBased Image Retrieval
594
EvolutionBased Technique for Stream Clustering
605
A New Hierarchical Clustering Based on Bayesian Networks
616
An Improved AdaBoost Algorithm Based on Adaptive Weight Adjusting
625
Author Index
633
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