Advanced data mining and applications : 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012 : proceedings /
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| Meeting name: | ADMA (Conference) (8th : 2012 : Nanjing, Jiangsu Sheng, China) |
|---|---|
| Imprint: | Berlin ; New York : Springer, ©2012. |
| Description: | 1 online resource (xviii, 795 pages) : illustrations. |
| Language: | English |
| Series: | Lecture notes in computer science, 1611-3349 ; 7713. Lecture notes in artificial intelligence LNCS sublibrary. SL 7, Artificial intelligence Lecture notes in computer science ; 7713. Lecture notes in computer science. Lecture notes in artificial intelligence. LNCS sublibrary. SL 7, Artificial intelligence. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11077800 |
Table of Contents:
- 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 Hiding
- 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.