Travelled to:
1 × Chile
1 × China
1 × France
1 × Switzerland
10 × USA
3 × Canada
Collaborated with:
R.Agrawal A.V.Evfimievski Y.Xu N.Megiddo J.Kiernan J.Gehrke D.Thomas D.Asonov K.Ali S.Manganaris B.Lent Q.Vu C.Faloutsos S.Basu N.Wang D.Pregibon C.Ho H.Mannila H.Toivonen A.I.Verkamo R.J.B.Jr. R.Rantzau M.Mehta J.C.Shafer A.Arning T.Bollinger M.J.Carey S.P.Ghosh M.A.W.Houtsma T.Imielinski B.R.Iyer A.Mahboob H.Miranda A.N.Swami
Talks about:
mine (10) associ (8) rule (8) databas (7) data (6) privaci (5) preserv (5) hippocrat (2) inform (2) discov (2)
Person: Ramakrishnan Srikant
DBLP: Srikant:Ramakrishnan
Facilitated 1 volumes:
Contributed to:
Wrote 23 papers:
- KDD-2010-SrikantBWP #modelling
- User browsing models: relevance versus examination (RS, SB, NW, DP), pp. 223–232.
- SIGMOD-2005-AgrawalST #privacy
- Privacy Preserving OLAP (RA, RS, DT), pp. 251–262.
- SIGMOD-2004-AgrawalAS #information management #using #web #web service
- Enabling Sovereign Information Sharing Using Web Services (RA, DA, RS), pp. 873–877.
- SIGMOD-2004-AgrawalKSX #encryption
- Order-Preserving Encryption for Numeric Data (RA, JK, RS, YX), pp. 563–574.
- VLDB-2004-AgrawalBFKRS #database
- Auditing Compliance with a Hippocratic Database (RA, RJBJ, CF, JK, RR, RS), pp. 516–527.
- VLDB-2004-AgrawalS #data mining #mining #question
- Whither Data Mining? (RA, RS), p. 9.
- PODS-2003-EvfimievskiGS #data mining #mining #privacy
- Limiting privacy breaches in privacy preserving data mining (AVE, JG, RS), pp. 211–222.
- SIGMOD-2003-AgrawalES #database #information management
- Information Sharing Across Private Databases (RA, AVE, RS), pp. 86–97.
- KDD-2002-EvfimievskiSAG #mining #privacy
- Privacy preserving mining of association rules (AVE, RS, RA, JG), pp. 217–228.
- VLDB-2002-AgrawalKSX #database
- Hippocratic Databases (RA, JK, RS, YX), pp. 143–154.
- VLDB-2002-AgrawalSX #database
- Database Technologies for Electronic Commerce (RA, RS, YX), pp. 1055–1058.
- SIGMOD-2000-AgrawalS #data mining #mining #privacy
- Privacy-Preserving Data Mining (RA, RS), pp. 439–450.
- KDD-1998-MegiddoS #predict
- Discovering Predictive Association Rules (NM, RS), pp. 274–278.
- KDD-1997-AliMS #classification #using
- Partial Classification Using Association Rules (KA, SM, RS), pp. 115–118.
- KDD-1997-LentAS #database #roadmap
- Discovering Trends in Text Databases (BL, RA, RS), pp. 227–230.
- KDD-1997-SrikantVA #constraints #mining
- Mining Association Rules with Item Constraints (RS, QV, RA), pp. 67–73.
- SIGMOD-1997-HoAMS #query
- Range Queries in OLAP Data Cubes (CTH, RA, NM, RS), pp. 73–88.
- AKDDM-1996-AgrawalMSTV #performance
- Fast Discovery of Association Rules (RA, HM, RS, HT, AIV), pp. 307–328.
- KDD-1996-AgrawalMSSAB #data mining #mining
- The Quest Data Mining System (RA, MM, JCS, RS, AA, TB), pp. 244–249.
- SIGMOD-1996-SrikantA #mining #relational #scalability
- Mining Quantitative Association Rules in Large Relational Tables (RS, RA), pp. 1–12.
- VLDB-1995-SrikantA #mining
- Mining Generalized Association Rules (RS, RA), pp. 407–419.
- SIGMOD-1994-AgrawalCFGHIIMMSS #database #mining #named
- Quest: A Project on Database Mining (RA, MJC, CF, SPG, MAWH, TI, BRI, AM, HM, RS, ANS), p. 514.
- VLDB-1994-AgrawalS #algorithm #database #mining #performance #scalability
- Fast Algorithms for Mining Association Rules in Large Databases (RA, RS), pp. 487–499.