Advanced Data Mining and Applications: 5th International Conference, ADMA 2009, Chengdu, China, August 17-19, 2009, Proceedings: 5678 (Lecture Notes in Computer Science) - Softcover

Inhaltsangabe

Keynotes.- Confucius and "Its" Intelligent Disciples.- From Machine Learning to Child Learning.- Sensitivity Based Generalization Error for Supervised Learning Problems with Application in Feature Selection.- Data Mining in Financial Markets.- Regular Papers.- Cluster Analysis Based on the Central Tendency Deviation Principle.- A Parallel Hierarchical Agglomerative Clustering Technique for Billingual Corpora Based on Reduced Terms with Automatic Weight Optimization.- Automatically Identifying Tag Types.- Social Knowledge-Driven Music Hit Prediction.- Closed Non Derivable Data Cubes Based on Non Derivable Minimal Generators.- Indexing the Function: An Efficient Algorithm for Multi-dimensional Search with Expensive Distance Functions.- Anti-germ Performance Prediction for Detergents Based on Elman Network on Small Data Sets.- A Neighborhood Search Method for Link-Based Tag Clustering.- Mining the Structure and Evolution of the Airport Network of China over the Past Twenty Years.- Mining Class Contrast Functions by Gene Expression Programming.- McSOM: Minimal Coloring of Self-Organizing Map.- Chinese Blog Clustering by Hidden Sentiment Factors.- Semi Supervised Image Spam Hunter: A Regularized Discriminant EM Approach.- Collaborative Filtering Recommendation Algorithm Using Dynamic Similar Neighbor Probability.- Calculating Similarity Efficiently in a Small World.- A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining.- Feature Selection in Marketing Applications.- Instance Selection by Border Sampling in Multi-class Domains.- Virus Propagation and Immunization Strategies in Email Networks.- Semi-supervised Discriminant Analysis Based on Dependence Estimation.- Nearest Neighbor Tour Circuit Encryption Algorithm Based Random Isomap Reduction.- Bayesian Multi-topic Microarray Analysis with Hyperparameter Reestimation.- Discovery of Correlated Sequential Subgraphs from a Sequence of Graphs.- Building a Text Classifier by a Keyword and Wikipedia Knowledge.- Discovery of Migration Habitats and Routes of Wild Bird Species by Clustering and Association Analysis.- GOD-CS: A New Grid-Oriented Dissection Clustering Scheme for Large Databases.- Study on Ensemble Classification Methods towards Spam Filtering.- Crawling Deep Web Using a New Set Covering Algorithm.- A Hybrid Statistical Data Pre-processing Approach for Language-Independent Text Classification.- A Potential-Based Node Selection Strategy for Influence Maximization in a Social Network.- A Novel Component-Based Model and Ranking Strategy in Constrained Evolutionary Optimization.- A Semi-supervised Topic-Driven Approach for Clustering Textual Answers to Survey Questions.- An Information-Theoretic Approach for Multi-task Learning.- Online New Event Detection Based on IPLSA.- Short Papers.- Discovering Knowledge from Multi-relational Data Based on Information Retrieval Theory.- A Secure Protocol to Maintain Data Privacy in Data Mining.- Transfer Learning with Data Edit.- Exploiting Temporal Authors Interests via Temporal-Author-Topic Modeling.- Mining User Position Log for Construction of Personalized Activity Map.- A Multi-Strategy Approach to KNN and LARM on Small and Incrementally Induced Prediction Knowledge.- Predicting Click Rates by Consistent Bipartite Spectral Graph Model.- Automating Gene Expression Annotation for Mouse Embryo.- Structure Correlation in Mobile Call Networks.- Initialization of the Neighborhood EM Algorithm for Spatial Clustering.- Classification Techniques for Talent Forecasting in Human Resource Management.- A Combination Classification Algorithm Based on Outlier Detection and C4.5.- A Local Density Approach for Unsupervised Feature Discretization.- A Hybrid Method of Multidimensional Scaling and Clustering for Determining Genetic Influence on Phenotypes.- Mining Frequent Patterns from Network Data Flow.- Several SVM Ensemble Methods Integrated with Under-Sampling for Imbalanced Data Learning.- Crawling and Extracting Proc...

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