Articles liés à Advanced Data Mining and Applications: 9th International...
Advanced Data Mining and Applications: 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part II - Couverture souple
L'édition de cet ISBN n'est malheureusement plus disponible.
Synopsis
Clustering.- Semi-Supervised Clustering Ensemble Evolved by Genetic Algorithm for Web Video Categorization.- A Scalable Approach for General Correlation Clustering.- A fast spectral clustering method based on growing vector quantization for large data sets.- A Novel Deterministic Sampling Technique to Speedup Clustering Algorithms.- Software Clustering using Automated Feature Subset Selection.- The Use of Transfer Algorithm for Clustering Categorical Data.- eDARA: Ensembles DARA.- Efficient mining maximal variant and low usage rate biclusters without candidate maintenance in real function-resource matrix: the DeCluster algorithm.- Association Rule Mining.- MEIT: Memory Efficient Itemset Tree for Targeted Association Rule Mining.- Pattern Mining.- Mining Frequent Patterns in Print Logs with Semantically Alternative Labels.- Minimising K-Dominating Set in Arbitrary Network Graphs.- Regression.- Logistic Regression Bias Correction for Large Scale Data with Rare Events.- An Automatical Moderating System for FML using Hashing Regression.- Batch-to-Batch Iterative Learning Control Based on Kernel Independent Component Regression Model.- Prediction.- Deep Architecture for Traffic Flow Prediction.- Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction.- Generalization of Malaria Incidence Prediction Models by Correcting Sample Selection Bias.- Protein Interaction Hot Spots Prediction using LS-SVM within the Bayesian Interpretation.- Predicting the survival status of cancer patients with Traditional Chinese Medicine Symptom Variation using Logistic Regression Model.- Feature Extraction.- Exploiting Multiple Features for Learning to Rank in Expert Finding.- Convolution Neural Network for Relation Extraction.- Extracting Fuzzy Rules from Hierarchical Heterogeneous Neural Networks for Cardiovascular Diseases Diagnosis.- kDMI: A Novel Method for Missing Values Imputation Using Two Levels of Horizontal Partitioning in a Data set.- Identification.- Traffic Session Identification based on Statistical Language Model.- Role Identification Based on the Information Dependency Complexity.- Detecting Professional Spam Reviewers.- Chinese Comparative Sentence Identification Based on the Combination of Rules and Statistics.- Privacy Preservation.- Utility Enhancement for Privacy Preserving Health Data Publishing.- Optimizing Placement of Mix Zones to Preserve Users' Privacy for Continuous Query Services in Road Networks.- Applications.- Comparison of Cutoff Strategies for Geometrical Features in Machine Learning-based Scoring Functions.- Bichromatic Reverse Ranking Query in Two Dimensions.- Passive Aggressive Algorithm for Online Portfolio Selection with Piecewise Loss Function.- Mining Item Popularity for Recommender Systems.- Exploring an Ichthyoplankton Database from a Freshwater Reservoir in Legal Amazon.- A Pre-initialization Stage of Population-based Bio-inspired Metaheuristics for Handling Expensive Optimization Problems.- A Hybrid-sorting Semantic Matching Method.- Improving Few Occurrence Feature Performance in Distant Supervision for Relation Extraction.- Cluster Labeling Extraction and Ranking Feature Selection for High Quality XML Pseudo Relevance Feedback Fragments Set.- Informed Weighted Random Projection for Dimension Reduction.- Protocol Specification Inference Based on Keywords Identification.- An Adaptive Collaborative Filtering Algorithm Based on Multiple Features.- Machine Learning.- Ensemble of Unsupervised and Supervised Models with Different Label Spaces.- Cost-sensitive Extreme Learning Machine.- Multi-objective Optimization for Overlapping Community Detection.- Endmember Extraction by Exemplar Finder.- EEG-Based User Authentication in Multilevel Security Systems.- A new fuzzy extreme learning machine for regression problems with outliers or noises.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer
- Date d'édition2013
- ISBN 10 3642539181
- ISBN 13 9783642539183
- ReliurePaperback
- Langueanglais
- Coordonnées du fabricantnon disponible
(Aucun exemplaire disponible)
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