Emerging directions in predictive text mining

E-ISSN： 1942-4795|5|4|155-164

ISSN： 1942-4787

Source： WILEY INTERDISCIPLINARY REVIEWS: DATA MINING AND KNOWLEDGE DISCOVERY (ELECTRONIC), Vol.5, Iss.4, 2015-07, pp. : 155-164

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Text mining in a digital library

By Witten Ian H. Don Katherine J. Dewsnip Michael Tablan Valentin

International Journal on Digital Libraries, Vol. 4, Iss. 1, 2004-08 ,pp. : 56-59

Springer Publishing Company

Access to resources Recommend Favorite

Sentiment–topic modeling in text mining

WILEY INTERDISCIPLINARY REVIEWS: DATA MINING AND KNOWLEDGE DISCOVERY (ELECTRONIC), Vol. 5, Iss. 5, 2015-09 ,pp. : 246-254

John Wiley & Sons Inc

Access to resources Recommend Favorite

Frequent pattern mining: current status and future directions

By Han Jiawei Cheng Hong Xin Dong Yan Xifeng

Data Mining and Knowledge Discovery, Vol. 15, Iss. 1, 2007-08 ,pp. : 55-86

Springer Publishing Company

Access to resources Recommend Favorite

Maximal Association Rules: A Tool for Mining Associations in Text

By Amir Amihood Aumann Yonatan Feldman Ronen Fresko Moshe

Journal of Intelligent Information Systems, Vol. 25, Iss. 3, 2005-11 ,pp. : 333-345

Springer Publishing Company

Access to resources Recommend Favorite

Parallel mining of association rules from text databases

By Holt John Chung Soon

The Journal of Supercomputing, Vol. 39, Iss. 3, 2007-03 ,pp. : 273-299

Springer Publishing Company

Access to resources Recommend Favorite