BibSLEIGH — Sunita

Travelled to:

1 × Australia
1 × Austria
1 × Canada
1 × Egypt
1 × Finland
1 × France
1 × India
1 × Italy
1 × Korea
1 × Switzerland
1 × United Kingdom
11 × USA
2 × China

Collaborated with:

∅ R.Gupta S.Chakrabarti G.Sathe S.Thomas A.Kirpal A.Bhamidipaty S.Godbole R.Pimplikar A.Deshpande W.W.Cohen M.Stonebraker R.Agrawal A.Y.Halevy A.Iyer S.Nath G.Limaye A.A.Diwan N.Koudas D.Srivastava S.Chaudhuri P.Ganesan B.Dom C.Mouli I.Trummer H.Lee F.Pereira A.Rajaraman W.Tunstall-Pedoe G.Weikum S.Agarwal P.Deshpande A.Gupta J.F.Naughton R.Ramakrishnan

Talks about:

queri (7) use (7) data (6) web (6) databas (5) multidimension (4) extract (4) model (4) tabl (4) mine (4)

Person: Sunita Sarawagi

DBLP: Sarawagi:Sunita

Facilitated 1 volumes:

Contributed to:

2015

2014

2012

2010

2009

2008

2007

2006

2004

2003

2002

2001

2000

1999

1998

1996

1995

Wrote 31 papers:

SIGMOD-2015-TrummerHLSG #mining #web: Mining Subjective Properties on the Web (IT, AYH, HL, SS, RG), pp. 1745–1760.
ICML-c1-2014-IyerNS #bound #convergence #estimation #kernel: Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection (AI, SN, SS), pp. 530–538.
KDD-2014-SarawagiC #modelling #query #web: Open-domain quantity queries on web tables: annotation, response, and consensus models (SS, SC), pp. 711–720.
VLDB-2012-PimplikarS #keyword #query #using #web: Answering Table Queries on the Web using Column Keywords (RP, SS), pp. 908–919.
VLDB-2010-LimayeSC #using #web: Annotating and Searching Web Tables Using Entities, Types and Relationships (GL, SS, SC), pp. 1338–1347.
VLDB-2009-GuptaS #query #web: Answering Table Augmentation Queries from Unstructured Lists on the Web (RG, SS), pp. 289–300.
VLDB-2009-PereiraRSTWH #question #using #web: Answering Web Questions Using Structured Data — Dream or Reality? (FP, AR, SS, WTP, GW, AYH), p. 1646.
ICML-2008-SarawagiG: Accurate max-margin training for structured output spaces (SS, RG), pp. 888–895.
ICML-2007-GuptaDS #clique #performance: Efficient inference with cardinality-based clique potentials (RG, AAD, SS), pp. 329–336.
VLDB-2007-DeshpandeS #database #modelling #probability #visual notation: Probabilistic Graphical Models and their Role in Databases (AD, SS), pp. 1435–1436.
ICML-2006-Sarawagi #modelling #performance #segmentation #sequence: Efficient inference on sequence segmentation models (SS), pp. 793–800.
SIGMOD-2006-KoudasSS #algorithm #metric #similarity: Record linkage: similarity measures and algorithms (NK, SS, DS), pp. 802–803.
VLDB-2006-GuptaS #database #information management #modelling #probability: Creating Probabilistic Databases from Information Extraction Models (RG, SS), pp. 965–976.
KDD-2004-CohenS #integration #markov #process: Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods (WWC, SS), pp. 89–98.
SIGMOD-2004-Sarawagi #performance #set #similarity: Efficient set joins on similarity predicates (SS, AK), pp. 743–754.
KDD-2003-SarawagiCG #learning #named #probability #topic: Cross-training: learning probabilistic mappings between topics (SS, SC, SG), pp. 177–186.
SIGMOD-2003-ChaudhuriGS #query: Factorizing Complex Predicates in Queries to Exploit Indexes (SC, PG, SS), pp. 361–372.
KDD-2002-GodboleSC #multi #scalability #using: Scaling multi-class support vector machines using inter-class confusion (SG, SS, SC), pp. 513–518.
KDD-2002-SarawagiB #interactive #learning #using: Interactive deduplication using active learning (SS, AB), pp. 269–278.
VLDB-2002-Sarawagi #automation #information management #integration: Automation in Information Extraction and Data Integration (SS).
VLDB-2002-SarawagiBKM #alias #interactive #learning #named: ALIAS: An Active Learning led Interactive Deduplication System (SS, AB, AK, CM), pp. 1103–1106.
VLDB-2001-SatheS #multi: Intelligent Rollups in Multidimensional OLAP Data (GS, SS), pp. 531–540.
SIGMOD-2000-Sarawagi #interactive #named: i3: Intelligent, Interactive Investigaton of OLAP data cubes (SS, GS), p. 589.
VLDB-2000-Sarawagi #adaptation #multi: User-Adaptive Exploration of Multidimensional Data (SS), pp. 307–316.
VLDB-1999-Sarawagi #difference #multi: Explaining Differences in Multidimensional Aggregates (SS), pp. 42–53.
KDD-1998-ThomasS #mining #query #sql #using: Mining Generalized Association Rules and Sequential Patterns Using SQL Queries (ST, SS), pp. 344–348.
SIGMOD-1998-SarawagiTA #database #mining #relational: Integrating Mining with Relational Database Systems: Alternatives and Implications (SS, ST, RA), pp. 343–354.
VLDB-1998-ChakrabartiSD #mining #using: Mining Surprising Patterns Using Temporal Description Length (SC, SS, BD), pp. 606–617.
VLDB-1996-AgarwalADGNRS #multi #on the: On the Computation of Multidimensional Aggregates (SA, RA, PD, AG, JFN, RR, SS), pp. 506–521.
VLDB-1996-SarawagiS #database #execution #memory management #order #query: Reordering Query Execution in Tertiary Memory Databases (SS, MS), pp. 156–167.
VLDB-1995-Sarawagi #database #memory management #query: Query Processing in Tertiary Memory Databases (SS), pp. 585–596.