BibSLEIGH — Laks_V_S

Travelled to:

1 × Australia
1 × Egypt
1 × France
1 × Germany
1 × India
1 × Italy
1 × Korea
1 × Norway
1 × Spain
18 × USA
2 × Greece
3 × Canada
3 × China
3 × United Kingdom

Collaborated with:

D.Srivastava M.Xie R.T.Ng J.Han H.V.Jagadish J.Pei A.Goyal S.Amer-Yahia P.T.Wood F.Sadri W.Lu F.Bonchi I.N.Subramanian W.H.Wang Y.Zhao F.Dong P.Lee M.Gyssens R.Pottinger F.Gingras E.E.Milios S.Paparizos Z.(.Zhao G.Ramesh T.Johnson T.Li S.Cho A.Pang H.M.Jamil H.J.Hernández C.Yu K.Li S.Bhagat N.Shiri Y.Wu S.B.Roy R.Liu Y.Liu X.Liang S.Bu S.Pandit K.Wang Y.Jiang S.N.Subramanian N.Wiwatwattana M.Tiwari S.Shah S.Ioannidis S.Chen P.Chubak Z.Bahmani L.E.Bertossi S.Kolahi A.Moosavi S.Chen X.L.Dong M.Benedikt J.Stoyanovich I.Fundulaki P.Jain Z.Chen T.Yu T.Mah A.Andrews Ç.Aslay Z.Abbassi S.Vassilvitskii A.Bonifati E.Q.Chang T.Ho M.Scannapieco C.X.Wang X.Zhou T.Milo D.Vista D.Papoulis S.Al-Khalifa A.Chapman A.Nierman J.M.Patel

Talks about:

queri (16) databas (10) effici (10) system (9) recommend (8) data (8) xml (8) optim (7) social (6) semant (6)

Person: Laks V. S. Lakshmanan

DBLP: Lakshmanan:Laks_V=_S=

Contributed to:

2015

2014

2013

2012

2011

2010

2009

2008

2006

2005

2004

2003

2002

2001

2000

1999

1998

1997

1996

1995

1994

1993

1992

1991

Wrote 66 papers:

SIGMOD-2015-RoyLL #recommendation: From Group Recommendations to Group Formation (SBR, LVSL, RL), pp. 1603–1616.
VLDB-2015-AslayLB0L #social: Viral Marketing Meets Social Advertising: Ad Allocation with Minimum Regret (ÇA, WL, FB, AG, LVSL), pp. 822–833.
CIKM-2014-LeeLM #named #social #streaming: CAST: A Context-Aware Story-Teller for Streaming Social Content (PL, LVSL, EEM), pp. 789–798.
KDD-2014-LeeLTS #modelling #recommendation #scalability: Modeling impression discounting in large-scale recommender systems (PL, LVSL, MT, SS), pp. 1837–1846.
KDD-2014-LiLBLY #on the #social: On social event organization (KL, WL, SB, LVSL, CY), pp. 1206–1215.
KDD-2014-LuIBL #recommendation #social: Optimal recommendations under attraction, aversion, and social influence (WL, SI, SB, LVSL), pp. 811–820.
RecSys-2014-Liu0L #recommendation: Recommending user generated item lists (YL, MX, LVSL), pp. 185–192.
VLDB-2014-0002LW #elicitation #generative: Generating Top-k Packages via Preference Elicitation (MX, LVSL, PTW), pp. 1941–1952.
VLDB-2014-LuCLL #recommendation: Show Me the Money: Dynamic Recommendations for Revenue Maximization (WL, SC, KL, LVSL), pp. 1785–1796.
KDD-2013-LeeLM #evolution #keyword #named #social: KeySee: supporting keyword search on evolving events in social streams (PL, LVSL, EEM), pp. 1478–1481.
KDD-2013-LuB0L #perspective: The bang for the buck: fair competitive viral marketing from the host perspective (WL, FB, AG, LVSL), pp. 928–936.
VLDB-2013-0002LW #interactive #named: IPS: An Interactive Package Configuration System for Trip Planning (MX, LVSL, PTW), pp. 1362–1365.
CIKM-2012-LiCLP #corpus #ontology #performance: Efficient extraction of ontologies from domain specific text corpora (TL, PC, LVSL, RP), pp. 1537–1541.
KDD-2012-0002L #named #recommendation: RecMax: exploiting recommender systems for fun and profit (AG, LVSL), pp. 1294–1302.
KR-2012-BahmaniBKL #declarative #dependence #set #source code: Declarative Entity Resolution via Matching Dependencies and Answer Set Programs (ZB, LEB, SK, LVSL).
VLDB-2012-GoyalBL11 #approach #data-driven #social: A Data-Based Approach to Social Influence Maximization (AG, FB, LVSL), pp. 73–84.
CAiSE-2011-MoosaviLLP #collaboration #named: ONTECTAS: Bridging the Gap between Collaborative Tagging Systems and Structured Data (AM, TL, LVSL, RP), pp. 436–451.
CIKM-2011-LiangXL: Adding structure to top-k: from items to expansions (XL, MX, LVSL), pp. 1699–1708.
SIGMOD-2011-ChenDLS #challenge: We challenge you to certify your updates (SC, XLD, LVSL, DS), pp. 481–492.
VLDB-2011-XieLW #constraints #performance #rank: Efficient Rank Join with Aggregation Constraints (MX, LVSL, PTW), pp. 1201–1212.
RecSys-2010-XieLW #recommendation: Breaking out of the box of recommendations: from items to packages (MX, LVSL, PTW), pp. 151–158.
RecSys-2009-AbbassiALVY #recommendation: Getting recommender systems to think outside the box (ZA, SAY, LVSL, SV, CY), pp. 285–288.
CIKM-2008-GoyalBL #community: Discovering leaders from community actions (AG, FB, LVSL), pp. 499–508.
VLDB-2008-Amer-YahiaBLS #collaboration #network #performance: Efficient network aware search in collaborative tagging sites (SAY, MB, LVSL, JS), pp. 710–721.
VLDB-2006-LakshmananWZ #query #using: Answering Tree Pattern Queries Using Views (LVSL, WHW, Z(Z), pp. 571–582.
VLDB-2006-WangL #database #evaluation #performance #query #xml: Efficient Secure Query Evaluation over Encrypted XML Databases (WHW, LVSL), pp. 127–138.
SIGMOD-2005-LakshmananNR: To Do or Not To Do: The Dilemma of Disclosing Anonymized Data (LVSL, RTN, GR), pp. 61–72.
VLDB-2005-Amer-YahiaFJL #personalisation #xml: Personalizing XML Text Search in PimenT (SAY, IF, PJ, LVSL), pp. 1310–1313.
VLDB-2005-BonifatiCHLP #database #named #xml: HePToX: Marrying XML and Heterogeneity in Your P2P Databases (AB, EQC, TH, LVSL, RP), pp. 1267–1270.
VLDB-2005-BuLN #summary: MDL Summarization with Holes (SB, LVSL, RTN), pp. 433–444.
SIGMOD-2004-Amer-YahiaLP #flexibility #named #query #xml: FleXPath: Flexible Structure and Full-Text Querying for XML (SAY, LVSL, SP), pp. 83–94.
SIGMOD-2004-JagadishLSSW #xml: Colorful XML: One Hierarchy Isn’t Enough (HVJ, LVSL, MS, DS, NW), pp. 251–262.
SIGMOD-2004-PaparizosWLJ #evaluation #logic #performance #xquery: Tree Logical Classes for Efficient Evaluation of XQuery (SP, YW, LVSL, HVJ), pp. 71–82.
VLDB-2004-LakshmananRWZ #on the #query #satisfiability #testing: On Testing Satisfiability of Tree Pattern Queries (LVSL, GR, WHW, Z(Z), pp. 120–131.
KDD-2003-WangJL #mining: Mining unexpected rules by pushing user dynamics (KW, YJ, LVSL), pp. 246–255.
SIGMOD-2003-ChoALS #named #query #xml: LockX: A System for Efficiently Querying Secure XML (SC, SAY, LVSL, DS), p. 669.
SIGMOD-2003-LakshmananPZ #named #performance #semantics #summary: QC-Trees: An Efficient Summary Structure for Semantic OLAP (LVSL, JP, YZ), pp. 64–75.
SIGMOD-2003-LakshmananPZ03a #named #semantics #summary: SOCQET: Semantic OLAP with Compressed Cube and Summarization (LVSL, JP, YZ), p. 658.
SIGMOD-2003-PaparizosACJLNPSWWY #named #query #xml: TIMBER: A Native System for Querying XML (SP, SAK, AC, HVJ, LVSL, AN, JMP, DS, NW, YW, CY), p. 672.
VLDB-2003-ChenJLP #evaluation #performance #xquery: From Tree Patterns to Generalized Tree Patterns: On Efficient Evaluation of XQuery (ZC, HVJ, LVSL, SP), pp. 237–248.
VLDB-2003-LakshmananPZ #semantics #summary: Efficacious Data Cube Exploration by Semantic Summarization and Compression (LVSL, JP, YZ), pp. 1125–1128.
VLDB-2002-ChoALS #evaluation #optimisation #query: Optimizing the Secure Evaluation of Twig Queries (SC, SAY, LVSL, DS), pp. 490–501.
VLDB-2002-LakshmananNWZJ #approach #summary: The Generalized MDL Approach for Summarization (LVSL, RTN, CXW, XZ, TJ), pp. 766–777.
VLDB-2002-LakshmananPH #how #semantics: Quotient Cube: How to Summarize the Semantics of a Data Cube (LVSL, JP, JH), pp. 778–789.
VLDB-2002-YuSLJ #data access #performance #xml: Compressed Accessibility Map: Efficient Access Control for XML (TY, DS, LVSL, HVJ), pp. 478–489.
KDD-T-2001-HanLP #bibliography #mining #perspective #scalability: Scalable frequent-pattern mining methods: an overview (JH, LVSL, JP), pp. 264–324.
VLDB-2000-LakshmananJN #algebra #data mining #mining: The 3W Model and Algebra for Unified Data Mining (TJ, LVSL, RTN), pp. 21–32.
SIGMOD-1999-JagadishLMSV #network #query: Querying Network Directories (HVJ, LVSL, TM, DS, DV), pp. 133–144.
SIGMOD-1999-JagadishLS #clustering: Snakes and Sandwiches: Optimal Clustering Strategies for a Data Warehouse (HVJ, LVSL, DS), pp. 37–48.
SIGMOD-1999-LakshmananNHP #constraints #optimisation #query #set: Optimization of Constrained Frequent Set Queries with 2-variable Constraints (LVSL, RTN, JH, AP), pp. 157–168.
SIGMOD-1999-NgLHM #mining #query #set: Exploratory Mining via Constrained Frequent Set Queries (RTN, LVSL, JH, TM), pp. 556–558.
VLDB-1999-JagadishLS #question #what: What can Hierarchies do for Data Warehouses? (HVJ, LVSL, DS), pp. 530–541.
VLDB-1999-LakshmananSS #database #implementation #on the #sql: On Efficiently Implementing SchemaSQL on an SQL Database System (LVSL, FS, SNS), pp. 471–482.
SIGMOD-1998-NgLHP #mining #optimisation: Exploratory Mining and Pruning Optimizations of Constrained Association Rules (RTN, LVSL, JH, AP), pp. 13–24.
VLDB-1998-GingrasL #multi #named: nD-SQL: A Multi-Dimensional Language for Interoperability and OLAP (FG, LVSL), pp. 134–145.
SIGMOD-1997-GingrasLSPS #multi: Languages for Multi-database Interoperability (FG, LVSL, INS, DP, NS), pp. 536–538.
VLDB-1997-GyssensL #database #multi: A Foundation for Multi-dimensional Databases (MG, LVSL), pp. 106–115.
CIKM-1996-AndrewsLSS #database #implementation #on the #programming language: On Implementing SchemaLog — A Database Programming Language (AA, NS, LVSL, INS), pp. 309–316.
PODS-1996-GyssensLS #paradigm #query: Tables as a Paradigm for Querying and Restructuring (MG, LVSL, INS), pp. 93–103.
VLDB-1996-LakshmananSS #multi #named #relational: SchemaSQL — A Language for Interoperability in Relational Multi-Database Systems (LVSL, FS, INS), pp. 239–250.
ILPS-1995-JamilL #behaviour #declarative #inheritance #semantics: A Declarative Semantics for Behavioral Inheritance and Conflict Resolution (HMJ, LVSL), pp. 130–144.
ILPS-1994-LakshmananS #database #deduction #probability: Probabilistic Deductive Databases (LVSL, FS), pp. 254–268.
ILPS-1993-DongL #approach #deduction #query: A Deductive Approach to Hypothetical Query Answering (FD, LVSL), pp. 609–628.
ILPS-1993-HanL #evaluation #recursion #source code: Evaluation of Regular Nonlinear Recursive Programs (JH, LVSL), p. 648.
JICSLP-1992-DongL #database #deduction: Deductive Databases with Incomplete Information (FD, LVSL), pp. 303–317.
PODS-1991-LakshmananH #database #deduction #framework #optimisation #query #semantics: Structural Query Optimization — A uniform Framework for Semantic Query Optimization in Deductive Databases (LVSL, HJH), pp. 102–114.