BibSLEIGH — Shivakumar

Travelled to:

1 × Austria
1 × Korea
1 × Norway
1 × Slovenia
2 × Greece
8 × USA

Collaborated with:

B.Dom R.Ramakrishnan R.Krishnamurthy D.Burdick Y.Li S.Raghavan A.Doan ∅ P.G.Anick R.Fagin B.Kimelfeld T.S.Jayram H.Zhu E.Michelakis P.J.Haas H.V.Jagadish E.Kandogan P.M.Deshpande P.Deshpande V.Chu H.Ho M.Böhm S.Tatikonda B.Reinwald P.Sen Y.Tian L.Chiticariu S.Dasgupta T.W.Goetz A.Lang B.Liu F.Reiss S.Balakrishnan M.A.Hernández S.Liu J.Pieper J.S.Pierce L.Popa C.Robson L.Shi I.R.Stanoi E.L.Ting H.Yang

Talks about:

system (5) inform (5) data (5) imprecis (3) extract (3) databas (3) search (3) learn (3) rule (3) olap (3)

Person: Shivakumar Vaithyanathan

DBLP: Vaithyanathan:Shivakumar

Contributed to:

2014

2012

2011

2010

2009

2007

2006

2005

2000

1999

1997

Wrote 16 papers:

VLDB-2014-BoehmTRSTBV #hybrid #machine learning #parallel #scalability: Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML (MB, ST, BR, PS, YT, DB, SV), pp. 553–564.
SIGMOD-2012-Vaithyanathan #enterprise #social #social media: The value of social media data in enterprise applications (SV), pp. 755–756.
PODS-2011-FaginKLRV #database: Rewrite rules for search database systems (RF, BK, YL, SR, SV), pp. 271–282.
SIGMOD-2011-ChiticariuCDGHKLLLRRVZ #development #ide #information management: The SystemT IDE: an integrated development environment for information extraction rules (LC, VC, SD, TWG, HH, RK, AL, YL, BL, SR, FR, SV, HZ), pp. 1291–1294.
PODS-2010-FaginKLRV #comprehension #database #query: Understanding queries in a search database system (RF, BK, YL, SR, SV), pp. 273–284.
SIGMOD-2010-BalakrishnanCHHKLPPPRSSTVY #named: Midas: integrating public financial data (SB, VC, MAH, HH, RK, SL, JP, JSP, LP, CR, LS, IRS, ELT, SV, HY), pp. 1187–1190.
SIGMOD-2009-MichelakisKHV #information management #nondeterminism #rule-based: Uncertainty management in rule-based information extraction systems (EM, RK, PJH, SV), pp. 101–114.
VLDB-2007-BurdickDRV #constraints: OLAP over Imprecise Data with Domain Constraints (DB, AD, RR, SV), pp. 39–50.
SIGIR-2006-LiKVJ #query #transaction #web: Getting work done on the web: supporting transactional queries (YL, RK, SV, HVJ), pp. 557–564.
SIGMOD-2006-DoanRV #information management #research #state of the art: Managing information extraction: state of the art and research directions (AD, RR, SV), pp. 799–800.
SIGMOD-2006-KandoganKRVZ #approach #database #information retrieval #semantics: Avatar semantic search: a database approach to information retrieval (EK, RK, SR, SV, HZ), pp. 790–792.
VLDB-2006-BurdickDJRV #algorithm #performance: Efficient Allocation Algorithms for OLAP Over Imprecise Data (DB, PMD, TSJ, RR, SV), pp. 391–402.
VLDB-2005-BurdickDJRV #nondeterminism: OLAP Over Uncertain and Imprecise Data (DB, PD, TSJ, RR, SV), pp. 970–981.
ICML-2000-VaithyanathanD #learning: Hierarchical Unsupervised Learning (SV, BD), pp. 1039–1046.
ICML-1999-VaithyanathanD #clustering #documentation #learning: Model Selection in Unsupervised Learning with Applications To Document Clustering (SV, BD), pp. 433–443.
SIGIR-1997-AnickV #clustering #information retrieval: Exploiting Clustering and Phrases for Context-based Information Retrieval (PGA, SV), pp. 314–323.