Advanced Data Mining and Applications: 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part II (Lecture Notes in Computer Science (7121))
معرفی کتاب «Advanced Data Mining and Applications: 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part II (Lecture Notes in Computer Science (7121))» نوشتهٔ Liang Wu, Yuanchun Zhou, Fei Tan, Fenglei Yang (auth.), Jie Tang, Irwin King, Ling Chen, Jianyong Wang (eds.)، منتشرشده توسط نشر Springer-Verlag Berlin Heidelberg. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
The two-volume set LNAI 7120 and LNAI 7121 constitutes the refereed proceedings of the 7th International Conference on Advanced Data Mining and Applications, ADMA 2011, held in Beijing, China, in December 2011. The 35 revised full papers and 29 short papers presented together with 3 keynote speeches were carefully reviewed and selected from 191 submissions. The papers cover a wide range of topics presenting original research findings in data mining, spanning applications, algorithms, software and systems, and applied disciplines. Front Matter....Pages - Generating Syntactic Tree Templates for Feature-Based Opinion Mining....Pages 1-12 Handling Concept Drift via Ensemble and Class Distribution Estimation Technique....Pages 13-26 HUE-Stream: Evolution-Based Clustering Technique for Heterogeneous Data Streams with Uncertainty....Pages 27-40 Hybrid Artificial Immune Algorithm and CMAC Neural Network Classifier for Supporting Business and Medical Decision Making....Pages 41-54 Improving Suffix Tree Clustering with New Ranking and Similarity Measures....Pages 55-68 Individual Doctor Recommendation Model on Medical Social Network....Pages 69-81 Influence Maximizing and Local Influenced Community Detection Based on Multiple Spread Model....Pages 82-95 Interactive Predicate Suggestion for Keyword Search on RDF Graphs....Pages 96-109 Intrinsic Dimension Induced Similarity Measure for Clustering....Pages 110-123 Learning to Make Social Recommendations: A Model-Based Approach....Pages 124-137 Microgroup Mining on TSina via Network Structure and User Attribute....Pages 138-151 Mining Good Sliding Window for Positive Pathogens Prediction in Pathogenic Spectrum Analysis....Pages 152-165 Mining Patterns from Longitudinal Studies....Pages 166-179 Mining Top-K Sequential Rules....Pages 180-194 Mining Uncertain Data Streams Using Clustering Feature Decision Trees....Pages 195-208 Multi-view Laplacian Support Vector Machines....Pages 209-222 New Developments of Determinacy Analysis....Pages 223-236 On Mining Anomalous Patterns in Road Traffic Streams....Pages 237-251 Ontology Guided Data Linkage Framework for Discovering Meaningful Data Facts....Pages 252-265 Predicting New User’s Behavior in Online Dating Systems....Pages 266-277 Sequential Pattern Mining from Stream Data....Pages 278-291 Social Influence Modeling on Smartphone Usage....Pages 292-303 Social Network Inference of Smartphone Users Based on Information Diffusion Models....Pages 304-317 Support Vector Regression with A Priori Knowledge Used in Order Execution Strategies Based on VWAP....Pages 318-331 Terrorist Organization Behavior Prediction Algorithm Based on Context Subspace....Pages 332-345 Topic Discovery and Topic-Driven Clustering for Audit Method Datasets....Pages 346-358 Transportation Modes Identification from Mobile Phone Data Using Probabilistic Models....Pages 359-371 User Graph Regularized Pairwise Matrix Factorization for Item Recommendation....Pages 372-385 Using Predicate-Argument Structures for Context-Dependent Opinion Retrieval....Pages 386-402 XML Document Clustering Using Structure-Preserving Flat Representation of XML Content and Structure....Pages 403-416 Back Matter....Pages - They deal with the following topics: data mining, social network and social media, recommend systems, database, dimensionality reduction, advance machine learning techniques, classification, big data and applications, clustering methods, machine learning, and data mining and database. Annotation This volume constitutes the refereed proceedings of the 7th International Conference on Advanced Data Mining and Applications, ADMA 2011, held in Beijing, China, in December 2011 Edited By Jie Tang, Irwin King, Ling Chen, Jianyong Wang.
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