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Home > Advances in Knowledge Discovery and Data Mining: 10th Pacific-Asia Conference, PAKDD 2006, Singapore, April 9-12, 2006, Proceedings > FISA: Feature-Based Instance Selection for Imbalanced Text Classification
Advances in Knowledge Discovery and Data Mining: 10th Pacific-Asia Conference, PAKDD 2006, Singapore, April 9-12, 2006, Proceedings |
Wee Keong Ng; Masaru Kitsuregawa; Jianzhong Li
Springer Berlin Heidelberg
Advances in Knowledge Discovery and Data Mining: 10th Pacific-Asia Conference, PAKDD 2006, Singapore, April 9-12, 2006, Proceedings
FISA: Feature-Based Instance Selection for Imbalanced Text Classification
Authors

Aixin Sun; Ee-Peng Lim; Boualem Benatallah; Mahbub Hassan

ARI Id

1664700220686_2791199

Access

Not Available Free

Pages

250-254

DOI

10.1007/11731139_30

Chapter URL

https://rd.springer.com/chapter/10.1007/11731139_30

Table of Contents of Book
Showing 1 to 20 of 103 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Protection or Privacy? Data Mining and Personal Data
David J. Hand
1-10
The Changing Face of Web Search
Prabhakar Raghavan
11-11
Data Mining for Surveillance Applications
Bhavani M. Thuraisingham
12-14
A Multiclass Classification Method Based on Output Design
Qi Qiang; Qinming He
15-19
Regularized Semi-supervised Classification on Manifold
Lianwei Zhao; Siwei Luo; Yanchang Zhao; Lingzhi Liao; Zhihai Wang
20-29
Similarity-Based Sparse Feature Extraction Using Local Manifold Learning
Cheong Hee Park
30-34
Generalized Conditional Entropy and a Metric Splitting Criterion for Decision Trees
Dan A. Simovici; Szymon Jaroszewicz
35-44
RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification
Dae-Ki Kang; Adrian Silvescu; Vasant Honavar
45-54
TRIPPER: Rule Learning Using Taxonomies
Flavian Vasile; Adrian Silvescu; Dae-Ki Kang; Vasant Honavar
55-59
Using Weighted Nearest Neighbor to Benefit from Unlabeled Data
Kurt Driessens; Peter Reutemann; Bernhard Pfahringer; Claire Leschi
60-69
Constructive Meta-level Feature Selection Method Based on Method Repositories
Hidenao Abe; Takahira Yamaguchi
70-80
Variable Randomness in Decision Tree Ensembles
Fei Tony Liu; Kai Ming Ting
81-90
Further Improving Emerging Pattern Based Classifiers Via Bagging
Hongjian Fan; Ming Fan; Kotagiri Ramamohanarao; Mengxu Liu
91-96
Improving on Bagging with Input Smearing
Eibe Frank; Bernhard Pfahringer
97-106
Boosting Prediction Accuracy on Imbalanced Datasets with SVM Ensembles
Yang Liu; Aijun An; Xiangji Huang
107-118
DeLi-Clu: Boosting Robustness, Completeness, Usability, and Efficiency of Hierarchical Clustering by a Closest Pair Ranking
Elke Achtert; Christian Böhm; Peer Kröger
119-128
Iterative Clustering Analysis for Grouping Missing Data in Gene Expression Profiles
Dae-Won Kim; Bo-Yeong Kang
129-138
An EM-Approach for Clustering Multi-Instance Objects
Hans-Peter Kriegel; Alexey Pryakhin; Matthias Schubert
139-148
Mining Maximal Correlated Member Clusters in High Dimensional Database
Lizheng Jiang; Dongqing Yang; Shiwei Tang; Xiuli Ma; Dehui Zhang
149-159
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 103 entries
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