Multilevels Hidden Markov Models for Temporal Data Mining

Weiqiang Lin; Mehmet A. Orgun; Graham J. Williams

Multilevels Hidden Markov Models for Temporal Data Mining

Weiqiang Lin, Mehmet A. Orgun, Graham J. Williams

Department of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

Original language	English
Title of host publication	Temporal Data Mining Workshop Notes, Held at KDD-2001 The 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Editors	KP Unnikrishnan, R Uthurusamy
Place of Publication	San Francisco
Publisher	ACM SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining)
Pages	105-117
Number of pages	13
Publication status	Published - 2001
Event	KDD 2001 Workshop on Temporal Data Mining - San Francisco, United States Duration: 26 Aug 2001 → …

Workshop

Workshop	KDD 2001 Workshop on Temporal Data Mining
Country	United States
City	San Francisco
Period	26/08/01 → …

Cite this

Lin, W., Orgun, M. A., & Williams, G. J. (2001). Multilevels Hidden Markov Models for Temporal Data Mining. In KP. Unnikrishnan, & R. Uthurusamy (Eds.), Temporal Data Mining Workshop Notes, Held at KDD-2001 The 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 105-117). San Francisco: ACM SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining).

Lin, Weiqiang ; Orgun, Mehmet A. ; Williams, Graham J. / Multilevels Hidden Markov Models for Temporal Data Mining. Temporal Data Mining Workshop Notes, Held at KDD-2001 The 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. editor / KP Unnikrishnan ; R Uthurusamy. San Francisco : ACM SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining), 2001. pp. 105-117

@inproceedings{efeec700b5c94d05bc145d502afa792e,

title = "Multilevels Hidden Markov Models for Temporal Data Mining",

author = "Weiqiang Lin and Orgun, {Mehmet A.} and Williams, {Graham J.}",

year = "2001",

language = "English",

pages = "105--117",

editor = "KP Unnikrishnan and R Uthurusamy",

booktitle = "Temporal Data Mining Workshop Notes, Held at KDD-2001 The 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining",

publisher = "ACM SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining)",

}

Lin, W, Orgun, MA & Williams, GJ 2001, Multilevels Hidden Markov Models for Temporal Data Mining. in KP Unnikrishnan & R Uthurusamy (eds), Temporal Data Mining Workshop Notes, Held at KDD-2001 The 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining), San Francisco, pp. 105-117, KDD 2001 Workshop on Temporal Data Mining, San Francisco, United States, 26/08/01.

Multilevels Hidden Markov Models for Temporal Data Mining. / Lin, Weiqiang; Orgun, Mehmet A.; Williams, Graham J.

Temporal Data Mining Workshop Notes, Held at KDD-2001 The 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ed. / KP Unnikrishnan; R Uthurusamy. San Francisco : ACM SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining), 2001. p. 105-117.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution

TY - GEN

T1 - Multilevels Hidden Markov Models for Temporal Data Mining

AU - Lin, Weiqiang

AU - Orgun, Mehmet A.

AU - Williams, Graham J.

PY - 2001

Y1 - 2001

M3 - Conference proceeding contribution

SP - 105

EP - 117

BT - Temporal Data Mining Workshop Notes, Held at KDD-2001 The 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

A2 - Unnikrishnan, KP

A2 - Uthurusamy, R

PB - ACM SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining)

CY - San Francisco

ER -

Lin W, Orgun MA, Williams GJ. Multilevels Hidden Markov Models for Temporal Data Mining. In Unnikrishnan KP, Uthurusamy R, editors, Temporal Data Mining Workshop Notes, Held at KDD-2001 The 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. San Francisco: ACM SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining). 2001. p. 105-117