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PKDD
2004
Springer
141views Data Mining» more  PKDD 2004»
16 years 5 days ago
Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach
In this paper we propose a novel spatial associative classifier method based on a multi-relational approach that takes spatial relations into account. Classification is driven by s...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
MOBIHOC
2009
ACM
16 years 7 months ago
3DLS: density-driven data location service for mobile ad-hoc networks
Finding data items is one of the most basic services of any distributed system. It is particular challenging in ad-hoc networks, due to their inherent decentralized nature and lac...
Roy Friedman, Noam Mori
CICLING
2012
Springer
14 years 2 months ago
Building Subjectivity Lexicon(s) from Scratch for Essay Data
While there are a number of subjectivity lexicons available for research purposes, none can be used commercially. We describe the process of constructing subjectivity lexicon(s) fo...
Beata Beigman Klebanov, Jill Burstein, Nitin Madna...
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
16 years 7 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
WSC
2004
15 years 8 months ago
Simulation-Based Optimization for Material Dispatching in a Retailer Network
This paper presents preliminary work done on simulationbased optimization of a stochastic material-dispatching system in a retailer network. The problem we consider is one of dete...
Ganesh Subramaniam, Abhijit Gosavi