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ORCIDSIGKDD Explorations, Volume 6
Volume 6, Number 1, June 2004
- Nitesh V. Chawla, Nathalie Japkowicz
, Aleksander Kotcz:
Editorial: special issue on learning from imbalanced data sets. 1-6 - Gary M. Weiss:
Mining with rarity: a unifying framework. 7-19 - 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 - Hongyu Guo, Herna L. Viktor:
Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach. 30-39 - Taeho Jo, Nathalie Japkowicz:
Class imbalances versus small disjuncts. 40-49 - Clifton Phua, Damminda Alahakoon, Vincent C. S. Lee:
Minority report in fraud detection: classification of skewed data. 50-59 - Bhavani Raskutti, Adam Kowalczyk:
Extreme re-balancing for SVMs: a case study. 60-69 - M. Dolores del Castillo, Jose Ignacio Serrano:
A multistrategy approach for digital text categorization from imbalanced documents. 70-79 - Zhaohui Zheng, Xiaoyun Wu, Rohini K. Srihari:
Feature selection for text categorization on imbalanced data. 80-89 - Lance Parsons, Ehtesham Haque, Huan Liu:
Subspace clustering for high dimensional data: a review. 90-105
- Valery A. Petrushin, Anne Kao, Latifur Khan:
The 4th international workshop on multimedia data mining (MDM/KDD2003). 106-108 - Bart Goethals, Mohammed Javeed Zaki:
Advances in frequent itemset mining implementations: report on FIMI'03. 109-117
Volume 6, Number 2, December 2004
- Bing Liu, Kevin Chen-Chuan Chang:
Editorial: special issue on web content mining. 1-4 - Ruth Yuee Zhang, Laks V. S. Lakshmanan, Ruben H. Zamar:
Extracting relational data from HTML repositories. 5-13 - 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 - Philipp Cimiano, Steffen Staab:
Learning by Googling. 24-33 - Ya Zhang, Chao-Hsien Chu, Xiang Ji, Hongyuan Zha:
Correlating summarization of multi-source news with k-way graph bi-clustering. 34-42 - Daniel Gruhl, David Liben-Nowell, Ramanathan V. Guha, Andrew Tomkins:
Information diffusion through blogspace. 43-52 - Xin Dong, Jayant Madhavan, Alon Y. Halevy:
Mining structures for semantics. 53-60 - Sunita Sarawagi, V. G. Vinod Vydiswaran:
Learning to extract information from large domain-specific websites using sequential models. 61-66 - Kevin Chen-Chuan Chang, Bin He, Zhen Zhang:
Mining semantics for large scale integration on the web: evidences, insights, and challenges. 67-76
- Alex Alves Freitas:
A critical review of multi-objective optimization in data mining: a position paper. 77-86 - Guojun Gan, Jianhong Wu:
Subspace clustering for high dimensional categorical data. 87-94
- Rich Caruana, Thorsten Joachims, Lars Backstrom:
KDD-Cup 2004: results and analysis. 95-108 - David S. Vogel, Eric Gottschalk, Morgan C. Wang:
Anti-matter detection: particle physics model for KDD Cup 2004. 109-112 - Lalit Wangikar, Vineet Agrwal, Vivek Gupta:
KDD physics task: discussion of modeling approaches. 113-114 - Christophe G. Lambert, James E. Grover:
Quick and dirty quantum predictions with FIRMplus. 115-116 - Bernhard Pfahringer:
The Weka solution to the 2004 KDD Cup. 117-119 - 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 - David S. Vogel, Eric Gottschalk, Morgan C. Wang:
Protein matching with custom neural network objective functions. 125-127 - Christophe Foussette, Daniel Hakenjos, Martin Scholz:
KDD-Cup 2004: protein homology task. 128-131 - Anne Kao, Steve Poteet:
Report on KDD conference 2004 panel discussion can natural language processing help text mining? 132-133 - Myra Spiliopoulou:
Overview of the ACM SIGKDD 2004 workshops. 134-135 - Jafar Adibi, Hans Chalupsky, Marko Grobelnik, Dunja Mladenic, Natasa Milic-Frayling:
KDD-2004 workshop report link analysis and group detection (LinkKDD-2004). 136-139 - Saso Dzeroski, Hendrik Blockeel:
Multi-relational data mining 2004: workshop report. 140-141 - Andreas Hotho, York Sure, Lise Getoor:
A workshop report: mining for and from the Semantic Web at KDD 2004. 142-143 - Latifur Khan, Valery A. Petrushin:
The 5th international workshop on multimedia data mining (MDM/KDD2004). 144-146 - Olfa Nasraoui, Bamshad Mobasher, Brij M. Masand, Bing Liu:
WebKDD 2004: web mining and web usage analysis post-workshop report. 147-151 - K. P. Unnikrishnan, Ramasamy Uthurusamy, Jiawei Han:
The third SIGKDD workshop on mining temporal and sequential data (KDD/TDM 2004). 152 - Mohammed Javeed Zaki, Shinichi Morishita, Isidore Rigoutsos:
Report on BIOKDD04: workshop on data mining in Bioinformatics. 153-154 - Saso Dzeroski, Bernard Zenko, Marko Debeljak:
A report on the fourth international workshop on environmental applications of machine learning (EAML 2004). 155-156 - Robert L. Grossman:
Data mining standards, services, and platforms 2004 (DM-SSP 2004). 157-158 - José Hernández-Orallo, César Ferri, Nicolas Lachiche, Peter A. Flach:
The 1st workshop on ROC analysis in artificial intelligence (ROCAI-2004). 159-161
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