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IASSE
2004
13 years 6 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
PKDD
2000
Springer
120views Data Mining» more  PKDD 2000»
13 years 8 months ago
Multi-Relational Data Mining, Using UML for ILP
Although there is a growing need for multi-relational data mining solutions in KDD, the use of obvious candidates from the field of Inductive Logic Programming (ILP) has been limit...
Arno J. Knobbe, Arno Siebes, Hendrik Blockeel, Dan...
INFORMATICALT
2002
91views more  INFORMATICALT 2002»
13 years 4 months ago
Quantitative Forecasting and Assessment Models in the State Education System
This paper presents model-based forecasting of the Lithuanian education system in the period of 2001
Vydunas Saltenis, Gintautas Dzemyda, Vytautas Ties...
WSC
2008
13 years 7 months ago
Demand forecast of semiconductor products based on technology diffusion
Demand forecast plays a critical role to determine capital investment for capacity planning. Given the involved uncertainties and long lead-time for capacity expansion, semiconduc...
Chen-Fu Chien, Yun-Ju Chen, Jin-Tang Peng
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 5 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan