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ICDM
2002
IEEE
70views Data Mining» more  ICDM 2002»
15 years 2 months ago
Progressive Modeling
Presently, inductive learning is still performed in a frustrating batch process. The user has little interaction with the system and no control over the final accuracy and traini...
Wei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo, S...
JCST
2008
121views more  JCST 2008»
14 years 9 months ago
Clustering Text Data Streams
Abstract Clustering text data streams is an important issue in data mining community and has a number of applications such as news group filtering, text crawling, document organiza...
Yubao Liu, Jiarong Cai, Jian Yin, Ada Wai-Chee Fu
CC
2008
Springer
107views System Software» more  CC 2008»
14 years 11 months ago
How to Do a Million Watchpoints: Efficient Debugging Using Dynamic Instrumentation
Application debugging is a tedious but inevitable chore in any software development project. An effective debugger can make programmers more productive by allowing them to pause ex...
Qin Zhao, Rodric M. Rabbah, Saman P. Amarasinghe, ...
KDD
2010
ACM
300views Data Mining» more  KDD 2010»
14 years 8 months ago
Using data mining techniques to address critical information exchange needs in disaster affected public-private networks
Crisis Management and Disaster Recovery have gained immense importance in the wake of recent man and nature inflicted calamities. A critical problem in a crisis situation is how t...
Li Zheng, Chao Shen, Liang Tang, Tao Li, Steven Lu...
ICDIM
2010
IEEE
14 years 7 months ago
Data mining and automatic OLAP schema generation
Data mining aims at extraction of previously unidentified information from large databases. It can be viewed as an automated application of algorithms to discover hidden patterns a...
Muhammad Usman, Sohail Asghar, Simon Fong