SIGKDD 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