Journal: SIGKDD Explorations

Volume 6, Issue 2

1 -- 4Bing Liu, Kevin Chen-Chuan Chang. Editorial: special issue on web content mining
5 -- 13Ruth Yuee Zhang, Laks V. S. Lakshmanan, Ruben H. Zamar. Extracting relational data from HTML repositories
14 -- 23Ruihua Song, Haifeng Liu, Ji-Rong Wen, Wei-Ying Ma. Learning important models for web page blocks based on layout and content analysis
24 -- 33Philipp Cimiano, Steffen Staab. Learning by Googling
34 -- 42Ya Zhang, Chao-Hsien Chu, Xiang Ji, Hongyuan Zha. Correlating summarization of multi-source news with k-way graph bi-clustering
43 -- 52Daniel Gruhl, David Liben-Nowell, Ramanathan V. Guha, Andrew Tomkins. Information diffusion through blogspace
53 -- 60Xin Dong, Jayant Madhavan, Alon Y. Halevy. Mining structures for semantics
61 -- 66Sunita Sarawagi, V. G. Vinod Vydiswaran. Learning to extract information from large domain-specific websites using sequential models
67 -- 76Kevin Chen-Chuan Chang, Bin He, Zhen Zhang. Mining semantics for large scale integration on the web: evidences, insights, and challenges
77 -- 86Alex Alves Freitas. A critical review of multi-objective optimization in data mining: a position paper
87 -- 94Guojun Gan, Jianhong Wu. Subspace clustering for high dimensional categorical data
95 -- 108Rich Caruana, Thorsten Joachims, Lars Backstrom. KDD-Cup 2004: results and analysis
109 -- 112David S. Vogel, Eric Gottschalk, Morgan C. Wang. Anti-matter detection: particle physics model for KDD Cup 2004
113 -- 114Lalit Wangikar, Vineet Agrwal, Vivek Gupta. KDD physics task: discussion of modeling approaches
115 -- 116Christophe G. Lambert, James E. Grover. Quick and dirty quantum predictions with FIRMplus
117 -- 119Bernhard Pfahringer. The Weka solution to the 2004 KDD Cup
120 -- 124Yan 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
125 -- 127David S. Vogel, Eric Gottschalk, Morgan C. Wang. Protein matching with custom neural network objective functions
128 -- 131Christophe Foussette, Daniel Hakenjos, Martin Scholz. KDD-Cup 2004: protein homology task
132 -- 133Anne Kao, Steve Poteet. Report on KDD conference 2004 panel discussion can natural language processing help text mining?
134 -- 135Myra Spiliopoulou. Overview of the ACM SIGKDD 2004 workshops
136 -- 139Jafar Adibi, Hans Chalupsky, Marko Grobelnik, Dunja Mladenic, Natasa Milic-Frayling. KDD-2004 workshop report link analysis and group detection (LinkKDD-2004)
140 -- 141Saso Dzeroski, Hendrik Blockeel. Multi-relational data mining 2004: workshop report
142 -- 143Andreas Hotho, York Sure, Lise Getoor. A workshop report: mining for and from the Semantic Web at KDD 2004
144 -- 146Latifur Khan, Valery A. Petrushin. The 5th international workshop on multimedia data mining (MDM/KDD2004)
147 -- 151Olfa Nasraoui, Bamshad Mobasher, Brij M. Masand, Bing Liu. WebKDD 2004: web mining and web usage analysis post-workshop report
152 -- 0K. P. Unnikrishnan, Ramasamy Uthurusamy, Jiawei Han. The third SIGKDD workshop on mining temporal and sequential data (KDD/TDM 2004)
153 -- 154Mohammed Javeed Zaki, Shinichi Morishita, Isidore Rigoutsos. Report on BIOKDD04: workshop on data mining in Bioinformatics
155 -- 156Saso Dzeroski, Bernard Zenko, Marko Debeljak. A report on the fourth international workshop on environmental applications of machine learning (EAML 2004)
157 -- 158Robert L. Grossman. Data mining standards, services, and platforms 2004 (DM-SSP 2004)
159 -- 161José Hernández-Orallo, César Ferri, Nicolas Lachiche, Peter A. Flach. The 1st workshop on ROC analysis in artificial intelligence (ROCAI-2004)

Volume 6, Issue 1

1 -- 6Nitesh V. Chawla, Nathalie Japkowicz, Aleksander Kotcz. Editorial: special issue on learning from imbalanced data sets
7 -- 19Gary M. Weiss. Mining with rarity: a unifying framework
20 -- 29Gustavo 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
30 -- 39Hongyu Guo, Herna L. Viktor. Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach
40 -- 49Taeho Jo, Nathalie Japkowicz. Class imbalances versus small disjuncts
50 -- 59Clifton Phua, Damminda Alahakoon, Vincent Lee. Minority report in fraud detection: classification of skewed data
60 -- 69Bhavani Raskutti, Adam Kowalczyk. Extreme re-balancing for SVMs: a case study
70 -- 79M. Dolores del Castillo, Jose Ignacio Serrano. A multistrategy approach for digital text categorization from imbalanced documents
80 -- 89Zhaohui Zheng, Xiaoyun Wu, Rohini K. Srihari. Feature selection for text categorization on imbalanced data
90 -- 105Lance Parsons, Ehtesham Haque, Huan Liu. Subspace clustering for high dimensional data: a review
106 -- 108Valery A. Petrushin, Anne Kao, Latifur Khan. The 4th international workshop on multimedia data mining (MDM/KDD2003)
109 -- 117Bart Goethals, Mohammed Javeed Zaki. Advances in frequent itemset mining implementations: report on FIMI 03