TY - GEN
T1 - A distributed flocking approach for information stream clustering analysis
AU - Cui, Xiaohui
AU - Potok, Thomas E.
PY - 2006
Y1 - 2006
N2 - Intelligence analysts are currently overwhelmed with the amount of information streams generated everyday. There is a lack of comprehensive tool that can real-time analyze the information streams. Document clustering analysis plays an important role in improving the accuracy of information retrieval. However, most clustering technologies can only be applied for analyzing the static document collection because they normally require a large amount of computation resource and long time to get accurate result. It is very difficult to cluster a dynamic changed text information streams on an individual computer. Our early research has resulted in a dynamic reactive flock clustering algorithm which can continually refine the clustering result and quickly react to the change of document contents. This character makes the algorithm suitable for cluster analyzing dynamic changed document information, such as text information stream. Because of the decentralized character of this algorithm, a distributed approach is a very natural way to increase the clustering speed of the algorithm. In this paper, we present a distributed multi-agent flocking approach for the text information stream clustering and discuss the decentralized architectures and communication schemes for load balance and status information synchronization in this approach.
AB - Intelligence analysts are currently overwhelmed with the amount of information streams generated everyday. There is a lack of comprehensive tool that can real-time analyze the information streams. Document clustering analysis plays an important role in improving the accuracy of information retrieval. However, most clustering technologies can only be applied for analyzing the static document collection because they normally require a large amount of computation resource and long time to get accurate result. It is very difficult to cluster a dynamic changed text information streams on an individual computer. Our early research has resulted in a dynamic reactive flock clustering algorithm which can continually refine the clustering result and quickly react to the change of document contents. This character makes the algorithm suitable for cluster analyzing dynamic changed document information, such as text information stream. Because of the decentralized character of this algorithm, a distributed approach is a very natural way to increase the clustering speed of the algorithm. In this paper, we present a distributed multi-agent flocking approach for the text information stream clustering and discuss the decentralized architectures and communication schemes for load balance and status information synchronization in this approach.
UR - http://www.scopus.com/inward/record.url?scp=33845581988&partnerID=8YFLogxK
U2 - 10.1109/SNPD-SAWN.2006.2
DO - 10.1109/SNPD-SAWN.2006.2
M3 - Conference contribution
AN - SCOPUS:33845581988
SN - 076952611X
SN - 9780769526119
T3 - Proc. - Seventh ACIS Int. Conf. on Software Eng., Artific. Intelligence, Netw., and Parallel/Distributed Comput., SNPD 2006, including Second ACIS Int. Worshop on SAWN 2006
SP - 97
EP - 102
BT - Proceedings - Seventh ACIS International Conference on Software Eng., Artific. Intelligence, Networking, and Parallel/Distributed Computing, SNPD 2006, including Second ACIS Int. Workshop on SAWN 2006
T2 - 7th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, SNPD 2006, including Second ACIS International Workshop on Self-Assembling Wireless Networks, SAWN 2006
Y2 - 19 June 2006 through 20 June 2006
ER -