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KDD
2003
ACM
118views Data Mining» more  KDD 2003»
14 years 8 months ago
Generating English summaries of time series data using the Gricean maxims
We are developing technology for generating English textual summaries of time-series data, in three domains: weather forecasts, gas-turbine sensor readings, and hospital intensive...
Somayajulu Sripada, Ehud Reiter, Jim Hunter, Jin Y...
CIKM
2005
Springer
14 years 1 months ago
Opportunity map: a visualization framework for fast identification of actionable knowledge
Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interes...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xia...
WECWIS
2006
IEEE
151views ECommerce» more  WECWIS 2006»
14 years 1 months ago
Registering UMM Business Collaboration Models in an ebXML Registry
UN/CEFACT’s modeling methodology (UMM) is used to develop global choreographies of inter-organizational business processes. UMM models should be publically available in order to...
Birgit Hofreiter, Christian Huemer, Marco Zapletal
KDD
2010
ACM
300views Data Mining» more  KDD 2010»
13 years 6 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...
IASSE
2004
13 years 9 months ago
A Model for Multi-relational Data Mining on Demand Forecasting
Accurate demand forecasting remains difficult and challenging in today's competitive and dynamic business environment, but even a little improvement in demand prediction may ...
Qin Ding, Bhavin Parikh