By Topic

Research and application of hidden Markov model in data mining

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Zhang Youzhi ; Sch. of Comput. & Inf., Anqing Teachers Coll., Anqing, China

Data mining is to extract large amounts of data or to mine the information from which they need to find important data model, such as business decision-making, knowledge base, scientific and medical research has made great contributions. As users of data mining for the accuracy and precision required, hidden Markov models are widely used in data mining. This paper describes a hidden Markov model in the field of data mining applications, and with hidden Markov model we will resolve some issues.

Published in:

Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on  (Volume:1 )

Date of Conference:

28-31 Aug. 2010