BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × Brazil
1 × Poland
1 × Spain
1 × Sweden
1 × USA
2 × China
2 × Italy
2 × Portugal
Collaborated with:
R.M.Marcacini V.O.d.Carvalho M.A.Domingues F.F.d.Santos B.M.Nogueira A.M.Jorge R.G.Rossi M.G.Manzato C.V.Sundermann C.H.Yamamoto M.C.F.Oliveira M.d.Castro E.R.Hruschka D.S.Biondi R.d.Padua F.M.M.Barros M.G.Manzato M.G.C.Pimentel R.Motta A.d.A.Lopes M.C.F.d.Oliveira
Talks about:
cluster (6) associ (5) rule (5) recommend (3) hierarchi (3) hierarch (3) system (3) inform (3) topic (3) relat (3)

Person: Solange Oliveira Rezende

DBLP DBLP: Rezende:Solange_Oliveira

Contributed to:

SAC 20152015
ICPR 20142014
DocEng 20132013
SAC 20132013
ICEIS v1 20122012
SAC 20122012
DocEng 20112011
Post-ICEIS 20112011
ICEIS v1 20112011
SAC 20082008
ICEIS AIDSS 20072007

Wrote 13 papers:

SAC-2015-DominguesSBMPR #metadata #multi #personalisation #ranking #recommendation
Applying multi-view based metadata in personalized ranking for recommender systems (MAD, CVS, FMMB, MGM, MGCP, SOR), pp. 1105–1107.
ICPR-2014-DominguesMMSR #information management #recommendation #topic #using
Using Contextual Information from Topic Hierarchies to Improve Context-Aware Recommender Systems (MAD, MGM, RMM, CVS, SOR), pp. 3606–3611.
ICPR-2014-ManzatoDMR #feedback #personalisation #ranking #recommendation #topic
Improving Personalized Ranking in Recommender Systems with Topic Hierarchies and Implicit Feedback (MGM, MAD, RMM, SOR), pp. 3696–3701.
ICPR-2014-MarcaciniDHR #approach #clustering #documentation #learning #metric
Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach (RMM, MAD, ERH, SOR), pp. 3636–3641.
DocEng-2013-MarcaciniR #clustering #incremental
Incremental hierarchical text clustering with privileged information (RMM, SOR), pp. 231–232.
SAC-2013-MottaLNRJO #algorithm #clustering #relational
Comparing relational and non-relational algorithms for clustering propositional data (RM, AdAL, BMN, SOR, AMJ, MCFdO), pp. 150–155.
ICEIS-v1-2012-CarvalhoBSR #clustering
Labeling Methods for Association Rule Clustering (VOdC, DSB, FFdS, SOR), pp. 105–111.
SAC-2012-NogueiraJR #clustering
Hierarchical confidence-based active clustering (BMN, AMJ, SOR), pp. 216–219.
DocEng-2011-RossiR #representation #topic #using
Building a topic hierarchy using the bag-of-related-words representation (RGR, SOR), pp. 195–204.
ICEIS-J-2011-CarvalhoSRP #named
PAR-COM: A New Methodology for Post-processing Association Rules (VOdC, FFdS, SOR, RdP), pp. 66–80.
ICEIS-v1-2011-CarvalhoSR #clustering #metric
Post-processing Association Association Rules with Clustering and Objective Measures (VOdC, FFdS, SOR), pp. 54–63.
SAC-2008-YamamotoOR #information management #interactive
Including the user in the knowledge discovery loop: interactive itemset-driven rule extraction (CHY, MCFO, SOR), pp. 1212–1217.
Obtaining and Evaluating Generalized Association Rules (VOdC, SOR, MdC), pp. 310–315.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.