Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 236,856,182 papers from all fields of science
Search
Sign In
Create Free Account
Concept mining
Concept mining is an activity that results in the extraction of concepts from artifacts. Solutions to the task typically involve aspects of…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
17 relations
Applications of artificial intelligence
Araucaria
Artificial intelligence
Computational intelligence
Expand
Broader (2)
Data mining
Natural language processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Q-Map: clinical concept mining with phrase sense disambiguation
Sheikh Shams Azam
,
Manoj Raju
,
Venkatesh Pagidimarri
,
Vamsichandra Kasivajjala
arXiv.org
2018
Corpus ID: 195346817
Over the past decade, there has been a steep rise in data driven analysis in major areas of medicine, such as, clinical decision…
Expand
2018
2018
Q-Map: Clinical Concept Mining from Clinical Documents.
Sheikh Shams Azam
,
Manoj Raju
,
Venkatesh Pagidimarri
,
Vamsichandra Kasivajjala
2018
Corpus ID: 49862936
Over the past decade, there has been a steep rise in the data-driven analysis in major areas of medicine, such as clinical…
Expand
Review
2017
Review
2017
A Survey Paper on Concept Mining in Text Documents
K. Prasad
,
S. Saritha
,
+7 authors
Huanye Sheng
2017
Corpus ID: 30690408
Concept Mining has become an important research area. Concept Mining is used to search or extract the concepts embedded in the…
Expand
2017
2017
Video Representation Learning and Latent Concept Mining for Large-scale Multi-label Video Classification
Po-Yao (Bernie) Huang
,
Ye Yuan
,
Zhenzhong Lan
,
Lu Jiang
,
Alexander Hauptmann
arXiv.org
2017
Corpus ID: 26992409
We report on CMU Informedia Lab's system used in Google's YouTube 8 Million Video Understanding Challenge. In this multi-label…
Expand
2013
2013
Improving Text Clustering Quality by Concept Mining
Pradnya Randive
,
N. Pise
2013
Corpus ID: 4695063
In text mining most techniques depends on statistical analysis of terms. Statistical analysis trances important terms within…
Expand
2011
2011
The Amandelbult mine beneficiation towards the socio-economic development of Schilpadnest information settlement in the Thabazimbi Area
Molatelo Stephina Mabitsela
2011
Corpus ID: 113021670
Socio-economic development of the communities around the mines is enhanced through effective mining beneficiation. The aim of…
Expand
2009
2009
Concept Mining: A Conceptual Understanding based Approach
Shady Shehata
2009
Corpus ID: 41459527
Due to the daily rapid growth of the information, there are considerable needs to extract and discover valuable knowledge from…
Expand
2008
2008
Fuzzy Concept Mining based on Formal Concept Analysis
K. Yang
,
Eung-Hee Kim
,
Suk-hyung Hwang
,
S. Choi
2008
Corpus ID: 17545459
Data Mining(also known as Knowledge Discovery) is defined as the non-trivial extraction of implicit, previously unknown, and…
Expand
2008
2008
Concept mining of semantic web services by means of extended Fuzzy Formal Concept Analysis (FFCA)
G. Fenza
,
V. Loia
,
S. Senatore
IEEE International Conference on Systems, Man and…
2008
Corpus ID: 25744535
This paper describes a system for supporting the user in the discovery of semantic Web services, taking into account personal…
Expand
2004
2004
Hidden Markov Model Based Structuring of Cricket Video Sequences Using Motion and Color Features
M. Kolekar
,
S. Sengupta
Indian Conference on Computer Vision, Graphics…
2004
Corpus ID: 17195610
In this paper, we propose our techniques and results on automatic analysis of cricket video to facilitate highlight generation…
Expand