BibSLEIGH — Solange_Oliveira

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: Rezende:Solange_Oliveira

Contributed to:

2015

2014

2013

2012

2011

2008

2007

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.
ICEIS-AIDSS-2007-CarvalhoRC: Obtaining and Evaluating Generalized Association Rules (VOdC, SOR, MdC), pp. 310–315.