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Home > Advanced Data Mining and Applications: Second International Conference, ADMA 2006, Xi' an, China, August 14-16, 2006, Proceedings > Finding the Optimal Cardinality Value for Information Bottleneck Method
Advanced Data Mining and Applications: Second International Conference, ADMA 2006, Xi' an, China, August 14-16, 2006, Proceedings |
Xue Li; Osmar R. Zaiane; Zhanhuai Li
Springer Berlin Heidelberg
Advanced Data Mining and Applications: Second International Conference, ADMA 2006, Xi' an, China, August 14-16, 2006, Proceedings
Finding the Optimal Cardinality Value for Information Bottleneck Method
Authors

Gang Li; Dong Liu; Yiqing Tu; Yangdong Ye

ARI Id

1664709239841_2846797

Access

Not Available Free

Pages

594-605

DOI

10.1007/11811305_66

Chapter URL

https://rd.springer.com/chapter/10.1007/11811305_66

Table of Contents of Book
Showing 1 to 20 of 122 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Warehousing and Mining Massive RFID Data Sets
Jiawei Han; Hector Gonzalez; Xiaolei Li; Diego Klabjan
1-18
Self-organising Map Techniques for Graph Data Applications to Clustering of XML Documents
A. C. Tsoi; M. Hagenbuchner; A. Sperduti
19-30
Finding Time Series Discords Based on Haar Transform
Ada Wai-chee Fu; Oscar Tat-Wing Leung; Eamonn Keogh; Jessica Lin
31-41
Learning with Local Drift Detection
João Gama; Gladys Castillo
42-55
A Fast Algorithm for Maintenance of Association Rules in Incremental Databases
Xin Li; Zhi-Hong Deng; Shiwei Tang
56-63
Extending OLAP with Fuzziness for Effective Mining of Fuzzy Multidimensional Weighted Association Rules
Mehmet Kaya; Reda Alhajj
64-71
Incremental Maintenance of Association Rules Based on Multiple Previously Mined Results
Zhuohua Duan; Zixing Cai; Yan Lv
72-79
Mining and Validation of Localized Frequent Web Access Patterns with Dynamic Tolerance
Olfa Nasraoui; Suchandra Goswami
80-91
SA-IFIM: Incrementally Mining Frequent Itemsets in Update Distorted Databases
Jinlong Wang; Congfu Xu; Hongwei Dan; Yunhe Pan
92-99
Study of Positive and Negative Association Rules Based on Multi-confidence and Chi-Squared Test
Xiangjun Dong; Fengrong Sun; Xiqing Han; Ruilian Hou
100-109
Efficiently Mining Maximal Frequent Mutually Associated Patterns
Zhongmei Zhou; Zhaohui Wu; Chunshan Wang; Yi Feng
110-117
Efficiently Mining Mutually and Positively Correlated Patterns
Zhongmei Zhou; Zhaohui Wu; Chunshan Wang; Yi Feng
118-125
ComEnVprs: A Novel Approach for Inducing Decision Tree Classifiers
Shuqin Wang; Jinmao Wei; Junping You; Dayou Liu
126-134
Towards a Rough Classification of Business Travelers
Rob Law; Thomas Bauer; Karin Weber; Tony Tse
135-142
Feature Extraction Based on Optimal Discrimination Plane in ECG Signal Classification
Dingfei Ge; Xiao Qu
143-149
Music Style Classification with a Novel Bayesian Model
Yatong Zhou; Taiyi Zhang; Jiancheng Sun
150-156
Classification of Polarimetric SAR Data Based on Multidimensional Watershed Clustering
Wen Yang; Hao Wang; Yongfeng Cao; Haijian Zhang
157-164
An Effective Combination Based on Class-Wise Expertise of Diverse Classifiers for Predictive Toxicology Data Mining
Daniel Neagu; Gongde Guo; Shanshan Wang
165-172
Robust Collective Classification with Contextual Dependency Network Models
Yonghong Tian; Tiejun Huang; Wen Gao
173-180
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 122 entries
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