Volume 6, Number 1, June 2004

Special issue on learning from imbalanced datasets

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  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 C. S. 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

Reports

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  Valery A. Petrushin, Anne Kao, Latifur Khan: The 4th international workshop on multimedia data mining (MDM/KDD2003). 106-108
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  Bart Goethals, Mohammed Javeed Zaki: Advances in frequent itemset mining implementations: report on FIMI'03. 109-117

Volume 6, Number 2, December 2004

Web content mining

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  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

Contribued articles

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  Alex Alves Freitas: A critical review of multi-objective optimization in data mining: a position paper. 77-86
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  Guojun Gan, Jianhong Wu: Subspace clustering for high dimensional categorical data. 87-94

Reports

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  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