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Advanced data mining and applications : 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012 : proceedings
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Advanced data mining and applications : 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012 : proceedings

Autor: Shuigeng Zhou; Songmao Zhang; G Karypis
Editora: Berlin ; New York : Springer, ©2012.
Séries: Lecture notes in computer science, 7713.; Lecture notes in computer science., Lecture notes in artificial intelligence.; LNCS sublibrary., SL 7,, Artificial intelligence.
Edição/Formato   e-book : Documento : Publicação de conferência : InglêsVer todas as edições e formatos
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Detalhes

Gênero/Forma: Electronic books
Congresses
Tipo de Material: Publicação de conferência, Documento, Recurso Internet
Tipo de Documento: Recurso Internet, Arquivo de Computador
Todos os Autores / Contribuintes: Shuigeng Zhou; Songmao Zhang; G Karypis
ISBN: 9783642355271 3642355277 3642355269 9783642355264
Número OCLC: 822995935
Descrição: 1 online resource (xviii, 795 p.) : ill.
Conteúdos: Social Media Mining --
Leave or Stay: The Departure Dynamics of Wikipedia Editors --
Cross-Modal Information Retrieval - A Case Study on Chinese Wikipedia --
Unsupervised Learning Chinese Sentiment Lexicon from Massive Microblog Data --
Community Extraction Based on Topic-Driven-Model for Clustering Users Tweets --
Clustering --
Constrained Spectral Clustering Using Absorbing Markov Chains --
Inducing Taxonomy from Tags: An Agglomerative Hierarchical Clustering Framework --
Personalized Clustering for Social Image Search Results Based on Integration of Multiple Features --
Query Directed Web Page Clustering Using Suffix Tree and Wikipedia Links --
Mining Fuzzy Moving Object Clusters --
Exemplars-Constraints for Semi-supervised Clustering --
Customer Segmentation for Power Enterprise Based on Enhanced-FCM Algorithm --
A MapReduce-Based Parallel Clustering Algorithm for Large Protein-Protein Interaction Networks --
Machine Learning: Algorithms and Applications --
A New Manifold Learning Algorithm Based on Incremental Spectral Decomposition --
Sparse Boosting with Correlation Based Penalty --
Learning from Multiple Naive Annotators --
Query by Committee in a Heterogeneous Environment --
Variational Learning of Dirichlet Process Mixtures of Generalized Dirichlet Distributions and Its Applications --
A New Multi-label Learning Algorithm Using Shelly Neighbors --
Kernel Mean Matching with a Large Margin --
Properly and Automatically Naming Java Methods: A Machine Learning Based Approach --
Classification --
A Bag Reconstruction Method for Multiple Instance Classification and Group Record Linkage --
Semi-naive Bayesian Classification by Weighted Kernel Density Estimation --
Spectral Clustering-Based Semi-supervised Sentiment Classification --
Automatic Filtering of Valuable Features for Text Categorization --
A Feature Selection Method for Improved Document Classification --
An Ensemble Approach to Multi-label Classification of Textual Data --
Hierarchical Text Classification for News Articles Based-on Named Entities --
Document-Level Sentiment Classification Based on Behavior-Knowledge Space Method --
Prediction, Regression and Recognition --
NAP-SC: A Neural Approach for Prediction over Sparse Cubes --
Semi-supervised Gaussian Process Regression and Its Feedback Design --
A Graph-Based Churn Prediction Model for Mobile Telecom Networks --
Facial Action Unit and Emotion Recognition with Head Pose Variations --
Use of Supervised Learning to Predict Directionality of Links in a Network --
Predicting Driving Direction with Weighted Markov Model --
Pattern Mining, Semantic Label Identification and Movement Prediction Using Mobile Phone Data --
Using Partially-Ordered Sequential Rules to Generate More Accurate Sequence Prediction --
Optimization and Approximation --
Particle Swarm Optimization of Information-Content Weighting of Symbolic Aggregate Approximation --
Fast Nyström for Low Rank Matrix Approximation --
An Enhanced Class-Attribute Interdependence Maximization Discretization Algorithm --
Towards Normalizing the Edit Distance Using a Genetic Algorithms-Based Scheme --
Mining Time Series and Streaming Data --
PCG: An Efficient Method for Composite Pattern Matching over Data Streams --
Visual Fingerprinting: A New Visual Mining Approach for Large-Scale Spatio-temporal Evolving Data --
Stock Trend Extraction via Matrix Factorization --
Stock Price Forecasting with Support Vector Machines Based on Web Financial Information Sentiment Analysis --
Web Mining and Semantic Analysis --
Automated Web Data Mining Using Semantic Analysis --
Geospatial Data Mining on the Web: Discovering Locations of Emergency Service Facilities --
Summarizing Semantic Associations Based on Focused Association Graph --
News Sentiment Analysis Based on Cross-Domain Sentiment Word Lists and Content Classifiers --
Data Mining Applications --
Integrating Data Mining and Optimization Techniques on Surgery Scheduling --
Using Data Mining for Static Code Analysis of C --
Fraud Detection in B2B Platforms Using Data Mining Techniques --
Efficiently Identifying Duplicated Chinese Company Names in Large-Scale Registration Database --
Search and Retrieval --
Keyword Graph: Answering Keyword Search over Large Graphs --
Medical Image Retrieval Method Based on Relevance Feedback --
Personalized Diversity Search Based on User's Social Relationships --
Information Recommendation and Hidding --
Towards a Tricksy Group Shilling Attack Model against Recommender Systems --
Topic-Centric Recommender Systems for Bibliographic Datasets --
Combining Spatial Cloaking and Dummy Generation for Location Privacy Preserving --
Outlier Detection --
Modeling Outlier Score Distributions --
A Hybrid Anomaly Detection Framework in Cloud Computing Using One-Class and Two-Class Support Vector Machines --
Topic Modeling --
Residual Belief Propagation for Topic Modeling --
The Author-Topic-Community Model: A Generative Model Relating Authors' Interests and Their Community Structure --
Data Cube Computing --
Constrained Closed Non Derivable Data Cubes --
VS-Cube: Analyzing Variations of Multi-dimensional Patterns over Data Streams.
Título da Série: Lecture notes in computer science, 7713.; Lecture notes in computer science., Lecture notes in artificial intelligence.; LNCS sublibrary., SL 7,, Artificial intelligence.
Outros Títulos: ADMA 2012
Responsabilidade: Shuigeng Zhou, Songmao Zhang, George Karypis (eds.).

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