Advanced data mining and applications : 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings Part II
The two-volume set LNCS 8346 and 8347 constitutes the thoroughly refereed proceedings of the 9th International Conference on Advanced Data Mining and Applications, ADMA 2013, held in Hangzhou, China, in December 2013. The 32 regular papers and 64 short papers presented in this volume were carefully...
Đã lưu trong:
| Tác giả chính: | |
|---|---|
| Tác giả khác: | , , , , |
| Định dạng: | Livre numérique |
| Ngôn ngữ: | Anglais |
| Được phát hành: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Phiên bản: | 1st ed. 2013. |
| Loạt: | Lecture Notes in Artificial Intelligence
8347 |
| Truy cập trực tuyến: | Accès sur la plateforme de l'éditeur (Springer) Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Chú thích: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Advanced Data Mining and Applications, Texte imprimé, 9783642539169 • Advanced Data Mining and Applications, Texte imprimé, 9783642539183 |
Mục lục:
- 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