TY  - BOOK
AU  - Tang,Jie
ED  - ADMA (Conference)
TI  - Advanced data mining and applications: 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, proceedings
T2  - Lecture notes in artificial intelligence
SN  - 9783642258534
AV  - QA76.9.D343 A36 2011
U1  - 006.3/12 23
PY  - 2011///
CY  - Berlin, New York
PB  - Springer
KW  - Data mining
KW  - Congresses
KW  - Exploration de données (Informatique)
KW  - Congrès
KW  - Informatique
KW  - eclas
KW  - fast
KW  - Computer science
KW  - Computer software
KW  - Database management
KW  - Information storage and retrieval systems
KW  - Artificial intelligence
KW  - Information Storage and Retrieval
KW  - Data Mining and Knowledge Discovery
KW  - Algorithm Analysis and Problem Complexity
KW  - computerwetenschappen
KW  - computer sciences
KW  - kunstmatige intelligentie
KW  - informatieontsluiting
KW  - information retrieval
KW  - informatieopslag
KW  - information storage
KW  - databasebeheer
KW  - datamining
KW  - algoritmen
KW  - algorithms
KW  - computeranalyse
KW  - computer analysis
KW  - informatiesystemen
KW  - information systems
KW  - internet
KW  - Information and Communication Technology (General)
KW  - Informatie- en communicatietechnologie (algemeen)
KW  - Conference papers and proceedings
KW  - Software
KW  - lcgft
N1  - Includes bibliographical references and author index; 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
N2  - 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
UR  - https://link.springer.com/10.1007/978-3-642-25853-4
ER  -