高级数据挖掘及应用Advanced Data Mining and Applications

2006-9  

Oversea Publishing House  

Xue Li，Osmar R. Zaiane，Zhanhuai Li 著  

1110  

无  

This book constitutes the refereed proceedings of the Second International Conference on Advanced Data Mining and Applications, ADMA 2006, held in Xi'an, China in August 2006. The 41 revised full papers and 74 revised short papers presented together with 4 invited papers were carefully reviewed and selected from 515 submissions. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, text mining, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, security and privacy issues, spatial data mining, and streaming data mining.

Invited Papers Warehousing and Mining Massive RFID Data Sets Self-organising Map Techniques for Graph Data Applications to Clustering of XML Documents Finding Time Series Discords Based on Haar Transform Learning with Local Drift DetectionAssociation Rules A Fast Algorithm for Maintenance of Association Rules in Incremental Databases Extending OLAP with Fuzziness for Effective Mining of Fuzzy Multidimensional Weighted Association Rules Incremental Maintenance of Association Rules Based on Multiple Previously Mined Results Mining and Validation of Localized Frequent Web Access Patterns with Dynamic Tolerance SA-IFIM: Incrementally Mining Frequent Itemsets in Update Distorted Databases Study of Positive and Negative Association Rules Based on Multi-confidence and Chi-Squared Test Efficiently Mining Maximal Frequent Mutually Associated Patterns Efficiently Mining Mutually and Positively Correlated PatternsClassification ComEnVprs: A Novel Approach for Inducing Decision Tree Classifiers Towards a Rough Classification of Business Travelers Feature Extraction Based on Optimal Discrimination Plane in ECC Signal Classification Music Style Classification with a Novel Bayesian Model Classification of Polarimetric SAR Data Based on Multidimensional Watershed Clustering An Effective Combination Based on Class-Wise Expertise of Diverse Classifiers for Predictive Toxicology Data Mining Robust Collective Classification with Contextual Dependency Network Models User-Centered Image Semantics Classification A Performance Study of Gaussian Kernel Classifiers for Data Mining Applications ……ClusteringNovel AlgorithmsText MiningMultimedia MiningSequential Data Mining and Time Series MiningWeb MiningBiomedical MiningAdvanced ApplicationsSecurity and Privacy IssuesSpatial Data MiningStreaming Data MiningAuthor Index

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高级数据挖掘及应用Advanced Data Mining and Applications PDF格式下载

是英文原版书没错，可就是贵的离谱，为了写论文没办法咬牙买的，到手才发现书有些脏，被翻看过的迹象，书里面的书页上有脏的手印，真想退了，可是国内又不好买到，忍吧！希望当当以后注意货品的质量，不要弄二手书出来，谢谢！

书外面就包了一层塑料袋，打开包装看，书十分脏，强烈要求退货！