Advances in Knowledge Discovery and Data Mining
Springer Berlin (Verlag)
978-3-642-37455-5 (ISBN)
ProCF: Probabilistic Collaborative Filtering for Reciprocal Recommendation.- Product and User Dependent Social Network Models for Recommender Systems.- Learning Representative Nodes in Social Networks.- Tracing Influential Nodes in a Social Network with CompetingInformation.- ViStruclizer: A Structural Visualizer for Multi-dimensional Social Networks.- Influential Nodes in a One-Wave Diffusion Model for Location-Based Social Networks.- Modeling Social Information Learning among Taxi Drivers.- Mining User Interests from Information Sharing Behaviors in Social Media.- Anonymization for Multiple Released Social Network Graphs.- A New, Fast and Accurate Algorithm for Hierarchical Clustering on Euclidean Distances.- Clustering Patient Medical Records via Sparse Subspace Representation.- A Unified Metric for Categorical and Numerical Attributes in Data Clustering.- An Extension of the Infinite Relational Model Incorporating Interaction between Objects.- Density-Based Clustering Based on Hierarchical Density Estimates.- Stock Trend Prediction by Classifying Aggregative Web Topic-Opinion.- The Role of Hubs in Cross-Lingual Supervised Document Retrieval.- Text Document Topical Recursive Clustering and Automatic Labeling of a Hierarchy of Document Clusters.- Query-Document Relevance Topic Models.- A Two-Stage Approach for Generating Topic Models.- Effective Top-Down Active Learning for Hierarchical Text Classification.- Forgetting Word Segmentation in Chinese Text Classification with L1-Regularized Logistic Regression.- Crest: Cluster-based Representation Enrichment for Short Text Classification.- Cross Language Prediction of Vandalism on Wikipedia Using Article Views and Revisions.- An Optimized Cost-Sensitive SVM for Imbalanced Data Learning.- A Positive-biased Nearest Neighbour Algorithm for Imbalanced Classification.- Class Based Weighted K-Nearest Neighbor over Imbalance Dataset.- ProWSyn: Proximity Weighted Synthetic Oversampling Technique for Imbalanced Data Set Learning.- Differential Privacy Preserving Spectral Graph Analysis.- Sorted Nearest Neighborhood Clustering for Efficient Private Blocking.- On Linear Refinement of Differential Privacy-Preserving Query Answering.- A Coupled Clustering Approach for Items Recommendation.- Location Recommendation Based on Periodicity of Human Activities and Location Categories.- Top-N Recommendations by Learning User Preference Dynamics.- Semantic Title Evaluation and Recommendation Based on Topic Models.- Video Quality Prediction over Wireless 4G.- A Self-immunizing Manifold Ranking for Image Retrieval.- Low-Rank Matrix Recovery with Discriminant Regularization.- Multi-Manifold Ranking: Using Multiple Features for Better ImageRetrieval.- One Pass Concept Change Detection for Data Streams.- Incremental Mining of Significant URLs in Real-Time and Large-ScaleSocial Streams.- A Concept-Drifting Detection Algorithm for Categorical Evolving Data.- Framework for Storing and Processing Relational Entities in Stream Mining.- Discovering Semantics from Multiple Correlated Time Series Stream.- Matrix Factorization With Aggregated Observations.- An Approach to Identifying False Traces in Process Event Logs.- Split-Merge Augmented Gibbs Sampling for Hierarchical Dirichlet Processes.- Adaptive Temporal Entity Resolution on Dynamic Databases.- Fuzzy Multi-Sphere Support Vector Data Description.
| Erscheint lt. Verlag | 19.3.2013 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | XXII, 588 p. 157 illus. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 920 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Schlagworte | Big Data • Recommender Systems • social media mining • text classification • transfer learning |
| ISBN-10 | 3-642-37455-7 / 3642374557 |
| ISBN-13 | 978-3-642-37455-5 / 9783642374555 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
