Advanced Data Mining and Applications: 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I

Opinion Mining.- Mining E-Commerce Feedback Comments for Dimension Rating Profiles.- Generating Domain-Specific Sentiment Lexicons for Opinion Mining.- Effective Comment Sentence Recognition for Feature-based Opinion Mining.- Exploiting Co-occurrence Opinion Words for Semi-supervised Sentiment Classification.- Behavior Mining.- HN-Sim: A Structural Similarity Measure over Object-Behavior Networks.- Community Based User Behavior Analysis on Daily Mobile Internet Usage.- Stream Mining.- Tracking Drift Types in Changing Data Streams.- Continuously Extracting High-quality Representative Set from Massive Data Streams.- Change Itemset Mining in Data Streams.- Sequential Data Mining.- TKS: Efficient Mining of Top-K Sequential Patterns.- When Optimization is Just an Illusion.- Accurate and fast dynamic time warping.- Online Detecting Spreading Events with the Spatio-temporal Relationship in Water Distribution Networks.- MLSP: Mining Hierarchically-Closed Multi-Level Sequential Patterns.- Mining Maximal Sequential Patterns without Candidate Maintenance.- Web Mining.- Improved Slope One Collaborative Filtering Predictor Using Fuzzy Clustering.- Towards Building Virtual Vocabularies in the Semantic Web.- Web Mining Accelerated with In-Memory and Column Store Technology.- Image Mining.- Constructing a novel pos-neg manifold for global-based image classification.- 3-D MRI Brain Scan Feature Classification Using an Oct-tree Representation.- Biometric Template Protection Based on Biometric Certificate and Fuzzy Fingerprint Vault.- A Comparative Study of Three Image Representations for Population Estimation Mining Using Remote Sensing Imagery.- Mixed-Norm Regression for Visual Classification.- Research on Map Matching Based on Hidden Markov Model.- Text Mining.- A Rule-Based Named-Entity Recognition for Malay Articles.- Small is Powerful! Towards a Refinedly Enriched Ontology by Careful Pruning and Trimming.- Refine the Corpora Based on Document Manifold.- Social Network Mining.- Online Friends Recommendation based on Geographic Trajectories and Social Relations.- The Spontaneous Behavior in Extreme Events: A Clustering-based Quantitative Analysis.- Restoring: A Greedy Heuristic Approach Based on Neighborhood for Correlation Clustering.- A Local Greedy Search Method for Detecting Community Structure in Weighted Social Networks.- Tree-based Mining for Discovering Patterns of Reposting Behavior in Microblog.- An Improved Parallel Hybrid Seed Expansion (PHSE) Method for Detecting Highly Overlapping Communities in Social Networks.- A Simple Integration of Social Relationship and Text Data for Identifying Potential Customers in Microblogging.- An Energy Model for Network Community Structure Detection.- A Label Propagation-based Algorithm for Community Discovery in Online Social Networks.- Mining Twitter Data for Potential Drug Effects.- Social-Correlation Based Mutual Reinforcement for Short Text Classification and User Interest Tagging.- Classification.- Graph based Feature Augmentation for Short and Sparse Text Classification.- Exploring Deep Belief Nets to Detect and Categorize Chinese Entities.- Extracting Novel Features for E-commerce Page Quality Classification.- Hierarchical Classification for Solving Multi-class Problems: A New Approach Using Naive Bayesian Classification.- Predicting Features in Complex 3D Surfaces Using a Point Series Representation: A Case Study in Sheet Metal Forming.- Automatic Labeling of Forums using Bloom's Taxonomy.- Classifying Papers from Different Computer Science Conferences.- Vertex Unique Labelled Subgraph Mining for Vertex Label Classification.- A Similarity-Based Grouping Method for Molecular Docking in Distributed System.- A Bag-of-Tones Model with MFCC Features for Musical Genre Classification.- The GEPSO-Classification Algorithm.

• Format: Paperback
• Language: English
• ISBN: 3642539130
• ISBN13: 9783642539138
• Release Date: January 2014
• Publisher: Springer
• Length: 588 Pages
• Weight: 1.86 lbs.
• Dimensions: 1.2" x 6.1" x 9.2"