DSpace at KOASAS: Supervised Dynamic Topic Models for Associative Topic Extraction with A Numerical Time Series.

DSpace at KOASAS

College of Engineering(공과대학)Dept. of Industrial and Systems Engineering(산업및시스템공학과)IE-Conference Papers(학술회의논문)

Supervised Dynamic Topic Models for Associative Topic Extraction with A Numerical Time Series.

Cited 0 time in webofscience

Cited 0 time in

Hit : 287
Download : 0

Export

Park, SR / Lee, WS / Moon, Il Chul researcher

Publisher: ACM Special Interest Group on Information Retrieval (SIGIR)

Issue Date: 2015-10-19

Language: English

Citation: Workshop on Topic Models: Post-Processing and Applications, ACM Conference on Information and Knowledge Management

URI: http://hdl.handle.net/10203/213359

Appears in Collection: IE-Conference Papers(학술회의논문)

Files in This Item: There are no files associated with this item.

Display Full Item Record

qr_code

트윗하기

KOASAS

Knowledge Service Development Team, KAIST 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea. T. 82-42-350-4493 Email. koasas@kaist.ac.kr
Copyright © 2016. Korea Advanced Institute of Science and Technology. All Rights Reserved.

KOASAS

KOASAS

Browse

Supervised Dynamic Topic Models for Associative Topic Extraction with A Numerical Time Series.

KOASAS

Communities & Collections