Retrieval in CBR using a combination of similarity and association knowledge

Yong Bin Kang; Shonali Krishnaswamy; Arkady Zaslavsky

Retrieval in CBR using a combination of similarity and association knowledge

Yong Bin Kang, Shonali Krishnaswamy, Arkady Zaslavsky

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

Original language	English
Title of host publication	Proceedings of the 7th International Conference on Advanced Data Mining and Applications, Part I
Editors	Jie Tang, Irwin King, Ling Chen, Jianyong Wang
Place of Publication	Berlin Germany
Publisher	Springer-Verlag London Ltd.
Pages	1 - 14
Number of pages	14
ISBN (Print)	9783642258527
Publication status	Published - 2011
Event	International Conference on Advanced Data Mining and Applications 2011 - Beijing, China Duration: 17 Dec 2011 → 19 Dec 2011 Conference number: 7th https://link.springer.com/book/10.1007/978-3-642-25853-4

Conference

Conference	International Conference on Advanced Data Mining and Applications 2011
Abbreviated title	ADMA 2011
Country/Territory	China
City	Beijing
Period	17/12/11 → 19/12/11
Other	Advanced Data Mining and Applications 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part I
Internet address	https://link.springer.com/book/10.1007/978-3-642-25853-4

3 Citations
1 Article

A retrieval strategy for case-based reasoning using similarity and association knowledge
Kang, Y. B., Krishnaswamy, S. & Zaslavsky, A., 2014, In: IEEE Transactions on Cybernetics. 44, 4, p. 473 - 487 15 p.
Research output: Contribution to journal › Article › Research › peer-review

44 Citations (Scopus)

Cite this

@inproceedings{6b6f7b6e1f974af294afff94dfee35df,

title = "Retrieval in CBR using a combination of similarity and association knowledge",

author = "Kang, {Yong Bin} and Shonali Krishnaswamy and Arkady Zaslavsky",

year = "2011",

language = "English",

isbn = "9783642258527",

pages = "1 -- 14",

editor = "Jie Tang and Irwin King and Ling Chen and Jianyong Wang",

booktitle = "Proceedings of the 7th International Conference on Advanced Data Mining and Applications, Part I",

publisher = "Springer-Verlag London Ltd.",

address = "Germany",

note = "International Conference on Advanced Data Mining and Applications 2011, ADMA 2011 ; Conference date: 17-12-2011 Through 19-12-2011",

url = "https://link.springer.com/book/10.1007/978-3-642-25853-4",

}

Kang, YB, Krishnaswamy, S & Zaslavsky, A 2011, Retrieval in CBR using a combination of similarity and association knowledge. in J Tang, I King, L Chen & J Wang (eds), Proceedings of the 7th International Conference on Advanced Data Mining and Applications, Part I. Springer-Verlag London Ltd., Berlin Germany, pp. 1 - 14, International Conference on Advanced Data Mining and Applications 2011, Beijing, China, 17/12/11.

Retrieval in CBR using a combination of similarity and association knowledge. / Kang, Yong Bin; Krishnaswamy, Shonali; Zaslavsky, Arkady.
Proceedings of the 7th International Conference on Advanced Data Mining and Applications, Part I. ed. / Jie Tang; Irwin King; Ling Chen; Jianyong Wang. Berlin Germany: Springer-Verlag London Ltd., 2011. p. 1 - 14.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

TY - GEN

T1 - Retrieval in CBR using a combination of similarity and association knowledge

AU - Kang, Yong Bin

AU - Krishnaswamy, Shonali

AU - Zaslavsky, Arkady

N1 - Conference code: 7th

PY - 2011

Y1 - 2011

M3 - Conference Paper

SN - 9783642258527

SP - 1

EP - 14

BT - Proceedings of the 7th International Conference on Advanced Data Mining and Applications, Part I

A2 - Tang, Jie

A2 - King, Irwin

A2 - Chen, Ling

A2 - Wang, Jianyong

PB - Springer-Verlag London Ltd.

CY - Berlin Germany

T2 - International Conference on Advanced Data Mining and Applications 2011

Y2 - 17 December 2011 through 19 December 2011

ER -

Retrieval in CBR using a combination of similarity and association knowledge

Conference

Research output

A retrieval strategy for case-based reasoning using similarity and association knowledge

Cite this