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ORCIDSIGKDD Explorations, Volume 2
Volume 2, Number 1, June 2000
- Paul S. Bradley, Sunita Sarawagi, Usama M. Fayyad:
Editorial.
- Raymond Kosala, Hendrik Blockeel
:
Web Mining Research: A Survey. 1-15 - Yiming Ma, Bing Liu, Ching Kian Wong:
Web for Data Mining: Organizing and Interpreting the Discovered Rules using the Web. 16-23 - Sunita Sarawagi, Sree Hari Nagaralu:
Data Mining Models as Services on the Internet. 24-28 - Stanley Loh, Leandro Krug Wives, José Palazzo Moreira de Oliveira:
Concept-Based Knowledge Discovery in Texts Extracted from the Web. 29-39 - José Luis Cabral de Moura Borges, Mark Levene:
A Fine Grained Heuristic to Capture Web Navigation Patterns. 40-50
- Fredrik Farnstrom, James Lewis, Charles Elkan:
Scalability for Clustering Algorithms Revisited. 51-57 - Jochen Hipp, Ulrich Güntzer, Gholamreza Nakhaeizadeh:
Algorithms for Association Rule Mining - A General Survey and Comparison. 58-64 - Alex Alves Freitas:
Understanding the Crucial Differences Between Classification and Discovery of Association Rules - A Position Paper. 65-69
- Jeanne Behnke, Elaine R. Dobinson:
NASA Workshop on Issues in the Application of Data Mining to Scientific Data. 70-79 - Dan Suciu, Gottfried Vossen:
Report on WebDB'2000: 3rd International Workshop on the Web and Databases. 80-82 - Dimitrios Gunopulos, Rajeev Rastogi:
Workshop Report: 2000 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery. 83-84
Volume 2, Number 2, December 2000
- Paul S. Bradley, Usama M. Fayyad, Sunita Sarawagi, Kyuseok Shim:
Editorial.
- Kristin P. Bennett, Colin Campbell:
Support Vector Machines: Hype or Hallelujah? 1-13 - Jiawei Han, Jian Pei:
Mining Frequent Patterns by Pattern-Growth: Methodology and Implications. 14-20 - Laks V. S. Lakshmanan, Carson Kai-Sang Leung, Raymond T. Ng:
The Segment Support Map: Scalable Mining of Frequent Itemsets. 21-27 - Wei Wang, Jiong Yang, Philip S. Yu:
Mining Patterns in Long Sequential Data with Noise. 28-33 - George Forman, Bin Zhang:
Distributed Data Clustering Can Be Efficient and Exact. 34-38 - Minos N. Garofalakis, Rajeev Rastogi:
Scalable Data Mining with Model Constraints. 39-48 - Claudia Diamantini, Maurizio Panti:
An Efficient Data Compression Approach to the Classification Task. 49-55 - William Maniatty, Mohammed Javeed Zaki:
Systems Support for Scalable Data Mining. 56-65 - Yves Bastide, Rafik Taouil, Nicolas Pasquier, Gerd Stumme, Lotfi Lakhal:
Mining Frequent Patterns with Counting Inference. 66-75 - Gregory Piatetsky-Shapiro, Sam Steingold:
Measuring Lift Quality in Database Marketing. 76-80 - Stephen D. Bay, Dennis F. Kibler, Michael J. Pazzani, Padhraic Smyth:
The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation. 81-85
- Ron Kohavi, Carla E. Brodley, Brian Frasca, Llew Mason, Zijian Zheng:
KDD-Cup 2000 Organizers' Report: Peeling the Onion. 86-98 - Marko Grobelnik, Dunja Mladenic, Natasa Milic-Frayling:
Text Mining as Integration of Several Related Research Areas: Report on KDD'2000 Workshop on Text Mining. 99-102 - Simeon J. Simoff, Osmar R. Zaïane:
Report on MDM/KDD2000: The 1st International Workshop on Multimedia Data Mining. 103-105 - Myra Spiliopoulou, Jaideep Srivastava, Ron Kohavi, Brij M. Masand:
WEBKDD 2000 - Web Mining for E-Commerce. 106-107 - Hillol Kargupta, Joydeep Ghosh, Vipin Kumar, Zoran Obradovic:
Report from the Workshop on Distributed and Parallel Knowledge Discovery, ACM SIGKDD-2000. 108-109 - Ivan Bruha, Fazel Famili:
Postprocessing in Machine Learning and Data Mining. 110-114 - Alexander Tuzhilin:
Report on the KDD2000 Panel Personalization and Data Mining: Exploring the Synergies. 115-116
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