Advanced data mining and applications : 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I
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...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , , , , |
| التنسيق: | Livre numérique |
| اللغة: | Anglais |
| منشور في: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| الطبعة: | 1st ed. 2013. |
| سلاسل: | Lecture Notes in Artificial Intelligence
8346 |
| الوصول للمادة أونلاين: | Accès sur la plateforme de l'éditeur (Springer) Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| ملاحظة: |
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, 9783642539138 • Advanced Data Mining and Applications, Texte imprimé, 9783642539152 |
| LEADER | 06243nam a22003977a 4500 | ||
|---|---|---|---|
| 001 | 947528 | ||
| 008 | 140205q2000 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN176118373 | ||
| 020 | |a 9783642539145 | ||
| 041 | 0 | |a eng | |
| 082 | |a 006.3 | ||
| 100 | 1 | |a Motoda, Hiroshi. | |
| 245 | 1 | 0 | |a Advanced data mining and applications : |b 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, |n Part I |c edited by Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar Zaiane, Min Yao, Wei Wang. |
| 250 | |a 1st ed. 2013. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture Notes in Artificial Intelligence |v 8346 |x 2945-9141 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 reviewed and selected from 222 submissions. The papers included in these two volumes cover the following topics: opinion mining, behavior mining, data stream mining, sequential data mining, web mining, image mining, text mining, social network mining, classification, clustering, association rule mining, pattern mining, regression, predication, feature extraction, identification, privacy preservation, applications, and machine learning | ||
| 700 | 1 | |a Wu, Zhaohui. |4 pbd | |
| 700 | 1 | |a Cao, Longbing. |4 pbd | |
| 700 | 1 | |a Zaiane, Osmar. |4 pbd | |
| 700 | 1 | |a Yao, Min. |4 pbd | |
| 700 | 1 | |a Wang, Wei. |4 pbd | |
| 776 | 0 | |t Advanced Data Mining and Applications |b Texte imprimé |z 9783642539138 | |
| 776 | 0 | |t Advanced Data Mining and Applications |b Texte imprimé |z 9783642539152 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-642-53914-5 |z Accès sur la plateforme de l'éditeur (Springer) | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-VG2F14FT-8 |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:747811997 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-3-642-53914-5 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:750828323 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-3-642-53914-5 |z Accès INSA CVL | |
| 997 | |0 947528 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||