BibSLEIGH — Felix

Travelled to:

1 × Austria
1 × Canada
1 × China
1 × Norway
2 × United Kingdom
3 × USA

Collaborated with:

Z.Abedjan D.Lange C.Böhm M.Weis G.Kasneci T.Papenbrock A.Heise U.Leser X.L.Dong M.Herschel J.Bleiholder K.Draba J.Quiané-Ruiz J.Lorey P.Schulze J.C.Freytag J.Zwiener S.Kruse G.d.Melo G.Weikum T.Bergmann M.Finke A.Jentzsch J.Bauckmann H.Müller U.Jehle J.Lufter H.Schuster A.Bilke J.Ehrlich J.Marten T.Neubert J.Rudolph M.Schönberg B.Forchhammer A.Mascher P.Retzlaff A.ZamaniFarahani S.Discher C.Fähnrich S.Lemme R.C.Peschel S.Richter T.Stening S.Viehmeier

Talks about:

data (10) discoveri (5) duplic (5) depend (4) similar (3) fusion (3) scale (3) arbitrari (2) structur (2) function (2)

Person: Felix Naumann

DBLP: Naumann:Felix

Contributed to:

2015

2014

2013

2012

2011

2010

2009

2008

2007

2005

1999

Wrote 22 papers:

VLDB-2015-PapenbrockBFZN #profiling: Data Profiling with Metanome (TP, TB, MF, JZ, FN), pp. 1860–1871.
VLDB-2015-PapenbrockEMNRZ #algorithm #dependence #evaluation #functional: Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms (TP, JE, JM, TN, JPR, MS, JZ, FN), pp. 1082–1093.
VLDB-2015-PapenbrockKQN #dependence: Divide & Conquer-based Inclusion Dependency Discovery (TP, SK, JAQR, FN), pp. 774–785.
CIKM-2014-AbedjanSN #dependence #functional #named #performance: DFD: Efficient Functional Dependency Discovery (ZA, PS, FN), pp. 949–958.
CIKM-2014-HeiseKN #clustering: Estimating the Number and Sizes of Fuzzy-Duplicate Clusters (AH, GK, FN), pp. 959–968.
VLDB-2014-HeiseQAJN13 #scalability: Scalable Discovery of Unique Column Combinations (AH, JAQR, ZA, AJ, FN), pp. 301–312.
CIKM-2012-AbedjanLN #ontology #web: Reconciling ontologies and the web of data (ZA, JL, FN), pp. 1532–1536.
CIKM-2012-BauckmannALMN #dependence: Discovering conditional inclusion dependencies (JB, ZA, UL, HM, FN), pp. 2094–2098.
CIKM-2012-BohmKN #topic: Latent topics in graph-structured data (CB, GK, FN), pp. 2663–2666.
CIKM-2012-BohmMNW #distributed #named: LINDA: distributed web-of-data-scale entity matching (CB, GdM, FN, GW), pp. 2104–2108.
CIKM-2011-AbedjanN: Advancing the discovery of unique column combinations (ZA, FN), pp. 1565–1570.
CIKM-2011-LangeN #metric #similarity #why: Frequency-aware similarity measures: why Arnold Schwarzenegger is always a duplicate (DL, FN), pp. 243–248.
CIKM-2011-LangeN11a #composition #metric #performance #similarity: Efficient similarity search: arbitrary similarity measures, arbitrary composition (DL, FN), pp. 1679–1688.
CIKM-2011-LoreyNFMRZDFLPPRSV #statistics: Black swan: augmenting statistics with event data (JL, FN, BF, AM, PR, AZ, SD, CF, SL, TP, RCP, SR, TS, SV), pp. 2517–2520.
CIKM-2010-LangeBN #wiki: Extracting structured information from Wikipedia articles to populate infoboxes (DL, CB, FN), pp. 1661–1664.
VLDB-2009-DongN #data fusion #integration: Data fusion — Resolving Data Conflicts for Integration (XLD, FN), pp. 1654–1655.
CIKM-2008-HerschelN #detection #graph #scalability: Scaling up duplicate detection in graph data (MH, FN), pp. 1325–1326.
VLDB-2008-WeisNJLS #detection: Industry-scale duplicate detection (MW, FN, UJ, JL, HS), pp. 1253–1264.
VLDB-2007-BleiholderDN #data fusion #named #semantics: FuSem — Exploring Different Semantics of Data Fusion (JB, KD, FN), pp. 1350–1353.
SIGMOD-2005-WeisN #xml: DogmatiX Tracks down Duplicates in XML (MW, FN), pp. 431–442.
VLDB-2005-BilkeBBDNW #automation #data fusion: Automatic Data Fusion with HumMer (AB, JB, CB, KD, FN, MW), pp. 1251–1254.
VLDB-1999-NaumannLF #information management #integration #quality: Quality-driven Integration of Heterogenous Information Systems (FN, UL, JCF), pp. 447–458.