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CONVEX: Similarity-Based Algorithms for Forecasting Group Behavior
July/August 2008 (vol. 23 no. 4)
pp. 51-57
ASCII Text
x 
 
Vanina Martinez, Gerardo I. Simari, Amy Sliva, V.S. Subrahmanian, "CONVEX: Similarity-Based Algorithms for Forecasting Group Behavior," IEEE Intelligent Systems, vol. 23, no. 4, pp. 51-57, July/August, 2008.
 
 
BibTex
x
 
@article{ 10.1109/MIS.2008.62,
author = {Vanina Martinez and Gerardo I. Simari and Amy Sliva and V.S. Subrahmanian},
title = {CONVEX: Similarity-Based Algorithms for Forecasting Group Behavior},
journal ={IEEE Intelligent Systems},
volume = {23},
number = {4},
issn = {1541-1672},
year = {2008},
pages = {51-57},
doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2008.62},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Intelligent Systems
TI - CONVEX: Similarity-Based Algorithms for Forecasting Group Behavior
IS - 4
SN - 1541-1672
SP51
EP57
EPD - 51-57
A1 - Vanina Martinez,
A1 - Gerardo I. Simari,
A1 - Amy Sliva,
A1 - V.S. Subrahmanian,
PY - 2008
KW - behavioral modeling
KW - case-based reasoning
KW - predictive reasoning
VL - 23
JA - IEEE Intelligent Systems
ER -
 
Vanina Martinez, University of Maryland, College Park
Gerardo I. Simari, University of Maryland, College Park
Amy Sliva, University of Maryland, College Park
V.S. Subrahmanian, University of Maryland, College Park
A proposed framework for predicting a group's behavior associates two vectors with that group. The context vector tracks aspects of the environment in which the group functions; the action vector tracks the group's previous actions. Given a set of past behaviors consisting of a pair of these vectors and given a query context vector, the goal is to predict the associated action vector. To achieve this goal, two families of algorithms employ vector similarity. CONVEXk _NN algorithms use k-nearest neighbors in high-dimensional metric spaces; CONVEXMerge algorithms look at linear combinations of distances of the query vector from context vectors. Compared to past prediction algorithms, these algorithms are extremely fast. Moreover, experiments on real-world data sets show that the algorithms are highly accurate, predicting actions with well over 95-percent accuracy.

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Index Terms:
behavioral modeling, case-based reasoning, predictive reasoning
Citation:
Vanina Martinez, Gerardo I. Simari, Amy Sliva, V.S. Subrahmanian, "CONVEX: Similarity-Based Algorithms for Forecasting Group Behavior," IEEE Intelligent Systems, vol. 23, no. 4, pp. 51-57, July-Aug. 2008, doi:10.1109/MIS.2008.62
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