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SIGKDD Explorations, Volume 8
Volume 8, Number 1, June 2006
- Gabor Melli, Osmar R. Zaïane, Brendan Kitts:
Introduction to the special issue on successful real-world data mining applications. 1-2 - R. Bharat Rao, Sriram Krishnan, Radu Stefan Niculescu:
Data mining for improved cardiac care. 3-10 - Dave DeBarr, Zachary Eyler-Walker:
Closing the gap: automated screening of tax returns to identify egregious tax shelters. 11-16 - Nitin Agarwal, Huan Liu, Jianping Zhang:
Blocking objectionable web content by leveraging multiple information sources. 17-26 - Edmund Freeman, Gabor Melli:
Championing of an LTV model at LTC. 27-32 - Yiannis Kanellopoulos, Thimios Dimopulos, Christos Tjortjis, Christos Makris:
Mining source code elements for comprehending object-oriented systems and evaluating their maintainability. 33-40 - Rayid Ghani, Katharina Probst, Yan Liu, Marko Krema, Andrew E. Fano:
Text mining for product attribute extraction. 41-48 - Sung Ho Ha, Sang-Chan Park:
Service quality improvement through business process management based on data mining. 49-56 - Pramod Singh, A. Charles Thomas, Ariel Sepulveda:
Market basket recommendations for the HP SMB store. 57-64 - Carlos André R. Pinheiro, Alexandre G. Evsukoff, Nelson F. F. Ebecken:
Revenue recovering with insolvency prevention on a Brazilian telecom operator. 65-70 - Frank Lemke, Emilio Benfenati, Johann-Adolf Müller:
Data-driven modeling and prediction of acute toxicity of pesticide residues. 71-79 - Chris Bailey-Kellogg, Naren Ramakrishnan, Madhav V. Marathe:
Spatial data mining to support pandemic preparedness. 80-82 - Ronald K. Pearson:
The problem of disguised missing data. 83-92 - Sadok Ben Yahia
, Tarek Hamrouni, Engelbert Mephu Nguifo
Frequent closed itemset based algorithms: a thorough structural and analytical survey. 93-104
Volume 8, Number 2, December 2006
- Chih Lai, Taras Rafa, Dwight E. Nelson:
Mining motion patterns using color motion map clustering. 3-10 - Kun Liu, Kanishka Bhaduri, Kamalika Das, Phuong Nguyen, Hillol Kargupta:
Client-side web mining for community formation in peer-to-peer environments. 11-20 - Jian Xu, Wei Wang, Jian Pei, Xiaoyuan Wang, Baile Shi, Ada Wai-Chee Fu:
Utility-based anonymization for privacy preservation with less information loss. 21-30 - Gary M. Weiss
Maximizing classifier utility when training data is costly. 31-38 - Terran Lane, R. Bharat Rao, Jinbo Bi, Jianming Liang, Marcos Salganicoff:
On the medical frontier: the 2006 KDD Cup competition and results. 39-46 - Robert M. Bell, Patrick Haffner, Chris Volinsky:
Modifying boosted trees to improve performance on task 1 of the 2006 KDD challenge cup. 47-52 - Domonkos Tikk, Zsolt Tivadar Kardkovács, Ferenc Szidarovszky:
Voting with a parameterized veto strategy: solving the KDD Cup 2006 problem by means of a classifier committee. 53-62 - William Perrizo, Amal Perera:
Parameter optimized, vertical, nearest-neighbor-vote and boundary-based classification. 63-69 - Gregory Piatetsky-Shapiro, Chabane Djeraba, Lise Getoor, Robert Grossman, Ronen Feldman, Mohammed Javeed Zaki:
What are the grand challenges for data mining?: KDD-2006 panel report. 70-77 - Mohammed J. Zaki, George Karypis
BIOKDD06: data mining in Bioinformatics. 78 - Rayid Ghani, Carlos Soares
Data mining for business applications: KDD-2006 workshop. 79-81 - Robert L. Grossman:
KDD workshop on data mining standards, services & platforms (DM-SSP) 2006. 82-83 - Olfa Nasraoui, Myra Spiliopoulou, Jaideep Srivastava, Bamshad Mobasher, Brij M. Masand:
WebKDD 2006: web mining and web usage analysis post-workshop report. 84-89 - K. P. Unnikrishnan, Naren Ramakrishnan, P. S. Sastry, Ramasamy Uthurusamy:
Network reconstruction from dynamic data. 90-91 - Zhongfei Zhang, Florent Masseglia, Ramesh C. Jain, Alberto Del Bimbo:
KDD/MDM 2006: The 7th KDD Multimedia Data Mining workshop report. 92-95 - Tao Li, Chang-Shing Perng:
KDD-2006 workshop report: Theory and Practice of Temporal Data Mining. 96-97 - Bianca Zadrozny, Gary M. Weiss
UBDM 2006: Utility-Based Data Mining 2006 workshop report. 98-101 - Maria E. Orlowska, Xingzhi Sun, Xue Li:
Can exclusive clustering on streaming data be achieved? 102-108
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