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Produktbild: Advanced Data Mining and Applications
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Advanced Data Mining and Applications 5th International Conference, ADMA 2009, Chengdu, China, August 17-19, 2009, Proceedings

Aus der Reihe Lecture Notes in Artificial Intelligence

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

28.07.2009

Abbildungen

mit Illustrationen

Herausgeber

Ronghuai Huang + weitere

Verlag

Springer Berlin

Seitenzahl

807

Maße (L/B/H)

24,2/15,7/3 cm

Gewicht

1236 g

Auflage

2009

Sprache

Englisch

ISBN

978-3-642-03347-6

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

28.07.2009

Abbildungen

mit Illustrationen

Herausgeber

Verlag

Springer Berlin

Seitenzahl

807

Maße (L/B/H)

24,2/15,7/3 cm

Gewicht

1236 g

Auflage

2009

Sprache

Englisch

ISBN

978-3-642-03347-6

Herstelleradresse

Springer Nature Customer Service Center GmbH
Europaplatz 3
69115 Heidelberg
DE
[email protected]

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  • Produktbild: Advanced Data Mining and Applications
  • 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 Process Data from the Web.- Asymmetric Feature Selection for BGP Abnormal Events Detection.- Analysis and Experimentation of Grid-Based Data Mining with Dynamic Load Balancing.- Incremental Document Clustering Based on Graph Model.- Evaluating the Impact of Missing Data Imputation.- Discovery of Significant Classification Rules from Incrementally Inducted Decision Tree Ensemble for Diagnosis of Disease.- Application of the Cross-Entropy Method to Dual Lagrange Support Vector Machine.- A Predictive Analysis on Medical Data Based on Outlier Detection Method Using Non-Reduct Computation.- VisNetMiner: An Integration Tool for Visualization and Analysis of Networks.- Anomaly Detection Using Time Index Differences of Identical Symbols with and without Training Data.- An Outlier Detection Algorithm Based on Arbitrary Shape Clustering.- A Theory of Kernel Extreme Energy Difference for Feature Extraction of EEG Signals.- Semantic Based Text Classification of Patent Documents to a User-Defined Taxonomy.- Mining Compressed Repetitive Gapped Sequential Patterns Efficiently.- Mining Candlesticks Patterns on Stock Series: A Fuzzy Logic Approach.- JCCM: Joint Cluster Communities on Attribute and Relationship Data in Social Networks.- Similarity Evaluation of XML Documents Based on Weighted Element Tree Model.- Quantitative Comparison of Similarity Measure and Entropy for Fuzzy Sets.- Investigation of Damage Identification of 16Mn Steel Based on Artificial Neural Networks and Data Fusion Techniques in Tensile Test.- OFFD: Optimal Flexible Frequency Discretization for Naïve Bayes Classification.- Handling Class Imbalance Problems via Weighted BP Algorithm.- Orthogonal Centroid Locally Linear Embedding for Classification.- CCBitmaps: A Space-Time Efficient Index Structure for OLAP.- Rewriting XPath Expressions Depending on Path Summary.- Combining Statistical Machine Learning Models to Extract Keywords from Chinese Documents.- Privacy-Preserving Distributed k-Nearest Neighbor Mining on Horizontally Partitioned Multi-Party Data.- Alleviating Cold-Start Problem by Using Implicit Feedback.- Learning from Video Game: A Study of Video Game Play on Problem-Solving.- Image Classification Approach Based on Manifold Learning in Web Image Mining.- Social Influence and Role Analysis Based on Community Structure in Social Network.- Feature Selection Method Combined Optimized Document Frequency with Improved RBF Network.