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Conference ADMA (Conference) (7th : 2011 : Beijing, China)
Title Advanced data mining and applications : 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, proceedings. Part I / Jie Tang [and others] (eds.).
Imprint Berlin ; New York : Springer, 2011.

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Series Lecture notes in artificial intelligence ; 7120.
Lecture notes in computer science, 0302-9743.
LNCS sublibrary. SL 7, Artificial intelligence.
Lecture notes in computer science. Lecture notes in artificial intelligence ; 7120.
Lecture notes in computer science.
LNCS sublibrary. SL 7, Artificial intelligence.
Subject Data mining -- Congresses.
Computer science.
Computer software.
Database management.
Data mining.
Information storage and retrieval systems.
Artificial intelligence.
Information Storage and Retrieval.
Data Mining and Knowledge Discovery.
Algorithm Analysis and Problem Complexity.
Alt Name Tang, Jie (Computer scientist)
LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Series Lecture notes in artificial intelligence ; 7120.
Lecture notes in computer science, 0302-9743.
LNCS sublibrary. SL 7, Artificial intelligence.
Lecture notes in computer science. Lecture notes in artificial intelligence ; 7120.
Lecture notes in computer science.
LNCS sublibrary. SL 7, Artificial intelligence.
Subject Data mining -- Congresses.
Computer science.
Computer software.
Database management.
Data mining.
Information storage and retrieval systems.
Artificial intelligence.
Information Storage and Retrieval.
Data Mining and Knowledge Discovery.
Algorithm Analysis and Problem Complexity.
Alt Name Tang, Jie (Computer scientist)
Description 1 online resource (xvii, 423 pages).
Bibliography Note Includes bibliographical references and author index.
Summary 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.
Contents Intro; Title; Preface; Organization; Table of Contents; Retrieval in CBR Using a Combination of Similarity and Association Knowledge; Introduction; Motivation; Related Work; Background of Similarity and Association Knowledge; Background of Similarity Knowledge; Background of Association Knowledge; Association Knowledge Formalization; The USIMSCAR Algorithm; Evaluation; Results and Analysis; Conclusion and Future Work; References; A Clustering Approach Using Weighted Similarity Majority Margins; Introduction; Dual Similarity-Dissimilarity Modelling
Pairwise Similarity and Dissimilarity StatementsTaking into Account Strong Dissimilarities; The Condorcet Similarity Graph; Definition of the Clusters; Clustering Algorithm; Results; Conclusions and Perspectives; References; A False Negative Maximal Frequent Itemset Mining Algorithm over Stream; Introduction; Preliminaries; Frequent Itemsets; Maximal Frequent Itemsets; Chernoff Bound; A Naive Method; FNMFIMoDS Algorithm; Data Structure; Mining Strategies; FNMFIMoDS; Experimental Results; Running Time Cost and Memory Cost Evaluation; Precision and Recall; Conclusions; References
A Graph Enrichment Based Clustering over Vertically Partitioned DataIntroduction; Problem Statement; Graph Enrichment Based Clustering Approach; Graph Construction; Graph Updating; Graph Partitioning; Experimental Results; Quality of the Obtained Partition; Effect of Noise on the Enrichment Performance; Conclusion; References; A Method for Finding Groups of Related Herbs in Traditional Chinese Medicine; Introduction; Method Overview; Obtaining Dataset of Paired Herbs; Data Preprocessing for TCM Digital Books; Group Detection; Herbal Network; Partitioning the Network into Groups; Experiments
Experiments on Combinational Rule MiningExperiments on Community Detection; Conclusions; References; A New Hybrid Clustering Method for Reducing Very Large Spatio-temporal Dataset; Introduction; Related Work; Hybrid Clustering Algorithm; Issues of SNNdegree; New SNN-DBSCAN Algorithm; Evaluation and Analysis; Experiment Setup; Analysis; Conclusion and Future Work; References; A Normal Distribution-Based Over-Sampling Approach to Imbalanced Data Classification; Introduction; Performance Evaluation Metrics; The Normal Distribution Model; Experimental Results; Conclusions; References
A Novel Genetic Algorithm for Overlapping Community DetectionIntroduction; Related Work; The New Genetic Algorithm for Community Detection; Framework of the Algorithm; Objective Function; Genetic Representation; Operators; Discussion; Experiments; Experiments on Artificial Networks; Experiments on Real Networks; Conclusion; References; A Probabilistic Topic Model with Social Tags for Query Reformulation in Informational Search; Introduction; Related Work; The Probabilistic Topic Model for Query Reformulation; Topic Model with Social Tags; Estimation of Parameters
ISBN 9783642258534 (electronic bk.)
3642258530 (electronic bk.)
9783642258527
ISBN/ISSN 10.1007/978-3-642-25853-4
OCLC # 769134691
Additional Format Printed edition: 9783642258527.