Volume 6,
Number 1,
June 2004
Special issue on learning from imbalanced datasets
- Nitesh V. Chawla, Nathalie Japkowicz, Aleksander Kotcz:
Editorial: special issue on learning from imbalanced data sets.
1-6
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- Gary M. Weiss:
Mining with rarity: a unifying framework.
7-19
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- Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard:
A study of the behavior of several methods for balancing machine learning training data.
20-29
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- Hongyu Guo, Herna L. Viktor:
Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach.
30-39
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- Taeho Jo, Nathalie Japkowicz:
Class imbalances versus small disjuncts.
40-49
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- Clifton Phua, Damminda Alahakoon, Vincent Lee:
Minority report in fraud detection: classification of skewed data.
50-59
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- Bhavani Raskutti, Adam Kowalczyk:
Extreme re-balancing for SVMs: a case study.
60-69
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- M. Dolores del Castillo, Jose Ignacio Serrano:
A multistrategy approach for digital text categorization from imbalanced documents.
70-79
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- Zhaohui Zheng, Xiaoyun Wu, Rohini K. Srihari:
Feature selection for text categorization on imbalanced data.
80-89
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- Lance Parsons, Ehtesham Haque, Huan Liu:
Subspace clustering for high dimensional data: a review.
90-105
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Reports
Volume 6,
Number 2,
December 2004
Web content mining
- Bing Liu, Kevin Chen-Chuan Chang:
Editorial: special issue on web content mining.
1-4
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- Ruth Yuee Zhang, Laks V. S. Lakshmanan, Ruben H. Zamar:
Extracting relational data from HTML repositories.
5-13
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- Ruihua Song, Haifeng Liu, Ji-Rong Wen, Wei-Ying Ma:
Learning important models for web page blocks based on layout and content analysis.
14-23
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- Philipp Cimiano, Steffen Staab:
Learning by Googling.
24-33
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- Ya Zhang, Chao-Hsien Chu, Xiang Ji, Hongyuan Zha:
Correlating summarization of multi-source news with k-way graph bi-clustering.
34-42
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- Daniel Gruhl, David Liben-Nowell, Ramanathan V. Guha, Andrew Tomkins:
Information diffusion through blogspace.
43-52
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- Xin Dong, Jayant Madhavan, Alon Y. Halevy:
Mining structures for semantics.
53-60
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- Sunita Sarawagi, V. G. Vinod Vydiswaran:
Learning to extract information from large domain-specific websites using sequential models.
61-66
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- Kevin Chen-Chuan Chang, Bin He, Zhen Zhang:
Mining semantics for large scale integration on the web: evidences, insights, and challenges.
67-76
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Contribued articles
Reports
- Rich Caruana, Thorsten Joachims, Lars Backstrom:
KDD-Cup 2004: results and analysis.
95-108
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- David S. Vogel, Eric Gottschalk, Morgan C. Wang:
Anti-matter detection: particle physics model for KDD Cup 2004.
109-112
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- Lalit Wangikar, Vineet Agrwal, Vivek Gupta:
KDD physics task: discussion of modeling approaches.
113-114
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- Christophe G. Lambert, James E. Grover:
Quick and dirty quantum predictions with FIRMplus.
115-116
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- Bernhard Pfahringer:
The Weka solution to the 2004 KDD Cup.
117-119
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- Yan Fu, Ruixiang Sun, Qiang Yang, Simin He, Chunli Wang, Haipeng Wang, Shiguang Shan, Junfa Liu, Wen Gao:
A block-based support vector machine approach to the protein homology prediction task in KDD Cup 2004.
120-124
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- David S. Vogel, Eric Gottschalk, Morgan C. Wang:
Protein matching with custom neural network objective functions.
125-127
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- Christophe Foussette, Daniel Hakenjos, Martin Scholz:
KDD-Cup 2004: protein homology task.
128-131
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- Anne Kao, Steve Poteet:
Report on KDD conference 2004 panel discussion can natural language processing help text mining?
132-133
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- Myra Spiliopoulou:
Overview of the ACM SIGKDD 2004 workshops.
134-135
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- Jafar Adibi, Hans Chalupsky, Marko Grobelnik, Dunja Mladenic, Natasa Milic-Frayling:
KDD-2004 workshop report link analysis and group detection (LinkKDD-2004).
136-139
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- Saso Dzeroski, Hendrik Blockeel:
Multi-relational data mining 2004: workshop report.
140-141
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- Andreas Hotho, York Sure, Lise Getoor:
A workshop report: mining for and from the Semantic Web at KDD 2004.
142-143
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- Latifur Khan, Valery A. Petrushin:
The 5th international workshop on multimedia data mining (MDM/KDD2004).
144-146
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- Olfa Nasraoui, Bamshad Mobasher, Brij M. Masand, Bing Liu:
WebKDD 2004: web mining and web usage analysis post-workshop report.
147-151
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- K. P. Unnikrishnan, Ramasamy Uthurusamy, Jiawei Han:
The third SIGKDD workshop on mining temporal and sequential data (KDD/TDM 2004).
152
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- Mohammed Javeed Zaki, Shinichi Morishita, Isidore Rigoutsos:
Report on BIOKDD04: workshop on data mining in Bioinformatics.
153-154
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- Saso Dzeroski, Bernard Zenko, Marko Debeljak:
A report on the fourth international workshop on environmental applications of machine learning (EAML 2004).
155-156
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- Robert L. Grossman:
Data mining standards, services, and platforms 2004 (DM-SSP 2004).
157-158
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- José Hernández-Orallo, César Ferri, Nicolas Lachiche, Peter A. Flach:
The 1st workshop on ROC analysis in artificial intelligence (ROCAI-2004).
159-161
Electronic Edition (ACM DL) BibTeX
Copyright © Sun May 17 00:19:55 2009
by Michael Ley (ley@uni-trier.de)
