Kenneth A. Ross, Divesh Srivastava, Dimitris Papadias
Proceedings of the 31st ACM SIGMOD International Conference on Management of Data
SIGMOD, 2013.

@proceedings{SIGMOD-2013,
	acmid         = "2463676",
	address       = "New York, New York, USA",
	editor        = "Kenneth A. Ross and Divesh Srivastava and Dimitris Papadias",
	isbn          = "978-1-4503-2037-5",
	publisher     = "{ACM}",
	title         = "{Proceedings of the 31st ACM SIGMOD International Conference on Management of Data}",
	year          = 2013,
}

Contents (150 items)

47 ×#named
23 ×#query
16 ×#performance
14 ×#scalability
12 ×#database
10 ×#using
9 ×#graph
8 ×#big data
8 ×#mining
7 ×#algorithm

SIGMOD-2013-HuangB0 #data analysis #in the cloud #named #optimisation #statistics

Cumulon: optimizing statistical data analysis in the cloud (BH, SB, JY), pp. 1–12.

SIGMOD-2013-XinRZFSS #named #scalability #sql

Shark: SQL and rich analytics at scale (RSX, JR, MZ, MJF, SS, IS), pp. 13–24.

SIGMOD-2013-WongHL #as a service #parallel

Parallel analytics as a service (PW, ZH, EL), pp. 25–36.

SIGMOD-2013-TruongBDS #named #xml

MESSIAH: missing element-conscious SLCA nodes search in XML data (BQT, SSB, CED, AS), pp. 37–48.

SIGMOD-2013-Cohen #distance #edit distance #using

Indexing for subtree similarity-search using edit distance (SC), pp. 49–60.

SIGMOD-2013-ArenasDNUBV #xml

Discovering XSD keys from XML data (MA, JD, FN, MU, JVdB, SV), pp. 61–72.

SIGMOD-2013-JungHFHY #multi #scalability

A scalable lock manager for multicores (HJ, HH, ADF, GH, HYY), pp. 73–84.

SIGMOD-2013-GraefeLKTV

Controlled lock violation (GG, ML, HAK, JT, ACV), pp. 85–96.

SIGMOD-2013-KangLMOM #database #named #transaction

X-FTL: transactional FTL for SQLite databases (WHK, SWL, BM, GHO, CM), pp. 97–108.

SIGMOD-2013-LeLTC #database #multi

Optimal splitters for temporal and multi-version databases (WL, FL, YT, RC), pp. 109–120.

SIGMOD-2013-BorneaDKSDUB #database #performance #rdf #relational

Building an efficient RDF store over a relational database (MAB, JD, AK, KS, PD, OU, BB), pp. 121–132.

SIGMOD-2013-KlonatosNSKK #algorithm #automation #synthesis

Automatic synthesis of out-of-core algorithms (YK, AN, AS, CK, VK), pp. 133–144.

SIGMOD-2013-ZhangC #semantics #web

InfoGather+: semantic matching and annotation of numeric and time-varying attributes in web tables (MZ, KC), pp. 145–156.

SIGMOD-2013-ArocenaGM

Value invention in data exchange (PCA, BG, RJM), pp. 157–168.

SIGMOD-2013-SametSA #database #game studies

Indexing methods for moving object databases: games and other applications (HS, JS, MA), pp. 169–180.

SIGMOD-2013-ZhangYQCL #graph #performance

I/O efficient: computing SCCs in massive graphs (ZZ, JXY, LQ, LC, XL), pp. 181–192.

SIGMOD-2013-ChengHWF #graph #named #query #reachability #scalability

TF-Label: a topological-folding labeling scheme for reachability querying in a large graph (JC, SH, HW, AWCF), pp. 193–204.

SIGMOD-2013-ChangYQLLL #component #composition #graph

Efficiently computing k-edge connected components via graph decomposition (LC, JXY, LQ, XL, CL, WL), pp. 205–216.

SIGMOD-2013-GaoLOWC #crowdsourcing #online

An online cost sensitive decision-making method in crowdsourcing systems (JG, XL, BCO, HW, GC), pp. 217–228.

SIGMOD-2013-WangLKFF #crowdsourcing #transitive

Leveraging transitive relations for crowdsourced joins (JW, GL, TK, MJF, JF), pp. 229–240.

SIGMOD-2013-AmsterdamerGMS #mining

Crowd mining (YA, YG, TM, PS), pp. 241–252.

SIGMOD-2013-TsytsarauAP #correlation #performance #scalability #sentiment

Efficient sentiment correlation for large-scale demographics (MT, SAY, TP), pp. 253–264.

SIGMOD-2013-PhamSL #named #social

EBM: an entropy-based model to infer social strength from spatiotemporal data (HP, CS, YL), pp. 265–276.

SIGMOD-2013-CuiXWLW #community #online

Online search of overlapping communities (WC, YX, HW, YL, WW), pp. 277–288.

SIGMOD-2013-LiP #in memory #memory management #named #performance

BitWeaving: fast scans for main memory data processing (YL, JMP), pp. 289–300.

SIGMOD-2013-MozafariCJM #modelling #performance

Performance and resource modeling in highly-concurrent OLTP workloads (BM, CC, AJ, SM), pp. 301–312.

SIGMOD-2013-WhangYYSKK #approach #named #parallel #using

ODYS: an approach to building a massively-parallel search engine using a DB-IR tightly-integrated parallel DBMS for higher-level functionality (KYW, TSY, YMY, IYS, HYK, IJK), pp. 313–324.

SIGMOD-2013-HuTC #graph

Massive graph triangulation (XH, YT, CWC), pp. 325–336.

SIGMOD-2013-HanLL #database #graph #morphism #named #robust #scalability #towards

Turboiso: towards ultrafast and robust subgraph isomorphism search in large graph databases (WSH, JL, JHL), pp. 337–348.

SIGMOD-2013-AkibaIY #distance #network #performance #query #scalability

Fast exact shortest-path distance queries on large networks by pruned landmark labeling (TA, YI, YY), pp. 349–360.

SIGMOD-2013-YangWQWL #string #using

Improving regular-expression matching on strings using negative factors (XY, BW, TQ, YW, CL), pp. 361–372.

SIGMOD-2013-LuLWLW #metric #similarity #string

String similarity measures and joins with synonyms (JL, CL, WW, CL, HW), pp. 373–384.

SIGMOD-2013-KimS #algorithm #approximate #performance #string

Efficient top-k algorithms for approximate substring matching (YK, KS), pp. 385–396.

SIGMOD-2013-ZhangR #case study #scalability #towards

Towards high-throughput gibbs sampling at scale: a study across storage managers (CZ, CR), pp. 397–408.

SIGMOD-2013-Horikawa #data type #design #evaluation #implementation

Latch-free data structures for DBMS: design, implementation, and evaluation (TH), pp. 409–420.

SIGMOD-2013-CurrimSSZJY #query

DBMS metrology: measuring query time (SC, RTS, YKS, RZ, MWJ, CY), pp. 421–432.

SIGMOD-2013-ZhengJPL #kernel #performance #quality #scalability

Quality and efficiency for kernel density estimates in large data (YZ, JJ, JMP, FL), pp. 433–444.

SIGMOD-2013-FujiwaraNSMO #ad hoc #performance #personalisation #rank

Efficient ad-hoc search for personalized PageRank (YF, MN, HS, TM, MO), pp. 445–456.

SIGMOD-2013-RoyCFRZ #information management #refinement #taxonomy

Provenance-based dictionary refinement in information extraction (SR, LC, VF, FR, HZ), pp. 457–468.

SIGMOD-2013-YuHLCZ #database #estimation #named #query

CS2: a new database synopsis for query estimation (FY, WCH, CL, DC, MZ), pp. 469–480.

SIGMOD-2013-VlachouDNK #algorithm #bound #query

Branch-and-bound algorithm for reverse top-k queries (AV, CD, KN, YK), pp. 481–492.

SIGMOD-2013-MoerkotteFE #on the

On the correct and complete enumeration of the core search space (GM, PF, ME), pp. 493–504.

SIGMOD-2013-ShaoWL #distributed #graph #memory management #named

Trinity: a distributed graph engine on a memory cloud (BS, HW, YL), pp. 505–516.

SIGMOD-2013-ElmoreDPAAY #behaviour #multitenancy

Characterizing tenant behavior for placement and crisis mitigation in multitenant DBMSs (AJE, SD, AP, DA, AEA, XY), pp. 517–528.

SIGMOD-2013-TaoLX #algorithm #pipes and filters

Minimal MapReduce algorithms (YT, WL, XX), pp. 529–540.

SIGMOD-2013-DallachiesaEEEIOT #named

NADEEF: a commodity data cleaning system (MD, AE, AE, AKE, IFI, MO, NT), pp. 541–552.

SIGMOD-2013-YakoutBE #automation #bound #scalability

Don’t be SCAREd: use SCalable Automatic REpairing with maximal likelihood and bounded changes (MY, LBE, AKE), pp. 553–564.

SIGMOD-2013-CaoFY

Determining the relative accuracy of attributes (YC, WF, WY), pp. 565–576.

SIGMOD-2013-AnanthanarayananBDGJQRRSV #data type #fault tolerance #named #scalability

Photon: fault-tolerant and scalable joining of continuous data streams (RA, VB, SD, AG, HJ, TQ, AR, DR, MS, SV), pp. 577–588.

SIGMOD-2013-WangHRN

Utility-maximizing event stream suppression (DW, YH, EAR, JFN), pp. 589–600.

SIGMOD-2013-LiGC #named #realtime #sequence

ε-Matching: event processing over noisy sequences in real time (ZL, TG, CXC), pp. 601–612.

SIGMOD-2013-KoutrisUBHS #query #towards

Toward practical query pricing with QueryMarket (PK, PU, MB, BH, DS), pp. 613–624.

SIGMOD-2013-ArmbrustLKFFP #incremental #independence

Generalized scale independence through incremental precomputation (MA, EL, TK, AF, MJF, DAP), pp. 625–636.

SIGMOD-2013-CaiVPAHJ #markov #simulation #using

Simulation of database-valued markov chains using SimSQL (ZC, ZV, LLP, SA, PJH, CMJ), pp. 637–648.

SIGMOD-2013-ChenZ #difference #privacy #recursion #strict #towards

Recursive mechanism: towards node differential privacy and unrestricted joins (SC, SZ), pp. 653–664.

SIGMOD-2013-ZhangXYZW #algorithm #named #search-based #using

PrivGene: differentially private model fitting using genetic algorithms (JZ, XX, YY, ZZ, MW), pp. 665–676.

SIGMOD-2013-LinK #estimation #privacy #statistics

Information preservation in statistical privacy and bayesian estimation of unattributed histograms (BRL, DK), pp. 677–688.

SIGMOD-2013-LongWWF #approach #distance #keyword #query

Collective spatial keyword queries: a distance owner-driven approach (CL, RCWW, KW, AWCF), pp. 689–700.

SIGMOD-2013-NobariTHKBA #clustering #in memory #named

TOUCH: in-memory spatial join by hierarchical data-oriented partitioning (SN, FT, TH, PK, SB, AA), pp. 701–712.

SIGMOD-2013-LuoT0N

Finding time period-based most frequent path in big trajectory data (WL, HT, LC, LMN), pp. 713–724.

SIGMOD-2013-FernandezMKP #fault tolerance #using

Integrating scale out and fault tolerance in stream processing using operator state management (RCF, MM, EK, PP), pp. 725–736.

SIGMOD-2013-WangLYC #case study #data type

Quantiles over data streams: an experimental study (LW, GL, KY, GC), pp. 737–748.

SIGMOD-2013-ChenCC #performance #query

An efficient query indexing mechanism for filtering geo-textual data (LC, GC, XC), pp. 749–760.

SIGMOD-2013-BailisGHS #consistency

Bolt-on causal consistency (PB, AG, JMH, IS), pp. 761–772.

SIGMOD-2013-SchaffnerJKKPFJ #clustering #database #in memory #named #robust

RTP: robust tenant placement for elastic in-memory database clusters (JS, TJ, MK, TK, HP, MJF, DJ), pp. 773–784.

SIGMOD-2013-SongYYHS #data flow #retrieval #scalability #semistructured data

Inter-media hashing for large-scale retrieval from heterogeneous data sources (JS, YY, YY, ZH, HTS), pp. 785–796.

SIGMOD-2013-MiliarakiBGZ #mining #scalability #sequence

Mind the gap: large-scale frequent sequence mining (IM, KB, RG, SZ), pp. 797–808.

SIGMOD-2013-ZhangEPS #query #reverse engineering

Reverse engineering complex join queries (MZ, HE, CMP, DS), pp. 809–820.

SIGMOD-2013-ZhuZQ #approach #graph #mining #performance

A direct mining approach to efficient constrained graph pattern discovery (FZ, ZZ, QQ), pp. 821–832.

SIGMOD-2013-SuZWHZ #analysis #similarity

Calibrating trajectory data for similarity-based analysis (HS, KZ, HW, JH, XZ), pp. 833–844.

SIGMOD-2013-LongWYJ #on the #worst-case

On optimal worst-case matching (CL, RCWW, PSY, MJ), pp. 845–856.

SIGMOD-2013-ZhuMXLTZ #distance #network #query #theory and practice #towards

Shortest path and distance queries on road networks: towards bridging theory and practice (ADZ, HM, XX, SL, YT, SZ), pp. 857–868.

SIGMOD-2013-BenderKGK #ecosystem #fine-grained

Fine-grained disclosure control for app ecosystems (GB, LK, JG, CK), pp. 869–880.

SIGMOD-2013-PapadopoulosCDG #algebra #authentication #data type #lightweight #linear #query

Lightweight authentication of linear algebraic queries on data streams (SP, GC, AD, MNG), pp. 881–892.

SIGMOD-2013-SidirourgosK

Column imprints: a secondary index structure (LS, MLK), pp. 893–904.

SIGMOD-2013-FinisBK0FM #named #performance #version control

DeltaNI: an efficient labeling scheme for versioned hierarchical data (JF, RB, AK, TN, FF, NM), pp. 905–916.

SIGMOD-2013-NazarukR #big data

Big data in capital markets (AN, MR), pp. 917–918.

SIGMOD-2013-Yaron #data transformation #database #enterprise

Managing database technology at enterprise scale (PY), pp. 919–920.

SIGMOD-2013-DeWittINS

We are drowning in a sea of least publishable units (LPUs) (DJD, IFI, JFN, MS), pp. 921–922.

SIGMOD-2013-BernsteinD #consistency

Rethinking eventual consistency (PAB, SD), pp. 923–928.

SIGMOD-2013-AboulnagaB #big data #data analysis

Workload management for big data analytics (AA, SB), pp. 929–932.

SIGMOD-2013-SuchanekW #big data

Knowledge harvesting in the big-data era (FMS, GW), pp. 933–938.

SIGMOD-2013-CondieMPW #big data #machine learning

Machine learning for big data (TC, PM, NP, MW), pp. 939–942.

SIGMOD-2013-HullSV #data transformation #overview #perspective #process #tutorial

Data management perspectives on business process management: tutorial overview (RH, JS, RV), pp. 943–948.

SIGMOD-2013-GolabJ #data type

Data stream warehousing (LG, TJ), pp. 949–952.

SIGMOD-2013-StougiannisPTHA #data transformation #data-driven

Data-driven neuroscience: enabling breakthroughs via innovative data management (AS, MP, FT, TH, AA), pp. 953–956.

SIGMOD-2013-LiZZLHFTZF #named #towards

TsingNUS: a location-based service system towards live city (GL, NZ, RZ, SL, WH, JF, KLT, LZ, JF), pp. 957–960.

SIGMOD-2013-MullerKLM #named #what

WOW: what the world of (data) warehousing can learn from the World of Warcraft (RM, TK, GML, JM), pp. 961–964.

SIGMOD-2013-AbiteboulAMST #development #rule-based #using

Rule-based application development using Webdamlog (SA, ÉA, GM, JS, JT), pp. 965–968.

SIGMOD-2013-CheungAMM #database

Speeding up database applications with Pyxis (AC, OA, SM, ACM), pp. 969–972.

SIGMOD-2013-ChengBK #named #twitter

Peckalytics: analyzing experts and interests on Twitter (AC, NB, NK), pp. 973–976.

SIGMOD-2013-ChirigatiSF

Packing experiments for sharing and publication (FSC, DS, JF), pp. 977–980.

SIGMOD-2013-VartakM #named #recommendation

CHIC: a combination-based recommendation system (MV, SM), pp. 981–984.

SIGMOD-2013-TianHLBJ #named

Noah: a dynamic ridesharing system (CT, YH, ZL, FB, RJ), pp. 985–988.

SIGMOD-2013-BykauRV #evolution #query

A query answering system for data with evolution relationships (SB, FR, YV), pp. 989–992.

SIGMOD-2013-ZhangGBFRP #named #statistics #using

GeoDeepDive: statistical inference using familiar data-processing languages (CZ, VG, JB, TF, CR, SP), pp. 993–996.

SIGMOD-2013-GoasdoueKKLMZ #web

Fact checking and analyzing the web (FG, KK, YK, JL, IM, SZ), pp. 997–1000.

SIGMOD-2013-OrdonezGGCBQ #algorithm #as a service #data mining #database #in the cloud #mining #relational

Data mining algorithms as a service in the cloud exploiting relational database systems (CO, JGG, CGA, WC, VB, MSQ), pp. 1001–1004.

SIGMOD-2013-GuilleFHZ #analysis #framework #mining #named #open source #platform #social

SONDY: an open source platform for social dynamics mining and analysis (AG, CF, HH, DAZ), pp. 1005–1008.

SIGMOD-2013-AchtertKSZ #3d #coordination #data mining #interactive #mining

Interactive data mining with 3D-parallel-coordinate-trees (EA, HPK, ES, AZ), pp. 1009–1012.

SIGMOD-2013-BarnettCDDFGMP #big data #exclamation #interactive

Stat!: an interactive analytics environment for big data (MB, BC, RD, SMD, DF, JG, PM, JCP), pp. 1013–1016.

SIGMOD-2013-MukherjiLBWRWR #interactive #mining #named #parametricity

PARAS: interactive parameter space exploration for association rule mining (AM, XL, CRB, JW, EAR, MOW, CR), pp. 1017–1020.

SIGMOD-2013-LappasVGT #mining #named #process

STEM: a spatio-temporal miner for bursty activity (TL, MRV, DG, VJT), pp. 1021–1024.

SIGMOD-2013-SayersSKGCH

The farm: where pig scripts are bred and raised (CPS, AS, GK, AGG, DTC, MH), pp. 1025–1028.

SIGMOD-2013-BonomiXL #integration #named #privacy

LinkIT: privacy preserving record linkage and integration via transformations (LB, LX, JJL), pp. 1029–1032.

SIGMOD-2013-ArasuBEJKKRUV #as a service

Secure database-as-a-service with Cipherbase (AA, SB, KE, MJ, RK, DK, RR, PU, RV), pp. 1033–1036.

SIGMOD-2013-KonstantinouTMK #distributed #named

DBalancer: distributed load balancing for NoSQL data-stores (IK, DT, IM, NK), pp. 1037–1040.

SIGMOD-2013-KonstantinouKTK #cost analysis #in the cloud #named #query #self

COCCUS: self-configured cost-based query services in the cloud (IK, VK, DT, NK), pp. 1041–1044.

SIGMOD-2013-GiannikisMAK #optimisation #using

Workload optimization using SharedDB (GG, DM, GA, DK), pp. 1045–1048.

SIGMOD-2013-ZhangKM #array #named

SciQL: array data processing inside an RDBMS (YZ, MLK, SM), pp. 1049–1052.

SIGMOD-2013-EwenSTWM #parallel

Iterative parallel data processing with stratosphere: an inside look (SE, SS, KT, DW, VM), pp. 1053–1056.

SIGMOD-2013-JindalQM #flexibility #named

CARTILAGE: adding flexibility to the Hadoop skeleton (AJ, JAQR, SM), pp. 1057–1060.

SIGMOD-2013-GeorgiadisKGPTM #algorithm #data type #detection #framework #state of the art

Continuous outlier detection in data streams: an extensible framework and state-of-the-art algorithms (DG, MK, AG, ANP, KT, YM), pp. 1061–1064.

SIGMOD-2013-FanXS #adaptation #monitoring #named #performance #realtime

FAST: differentially private real-time aggregate monitor with filtering and adaptive sampling (LF, LX, VSS), pp. 1065–1068.

SIGMOD-2013-LimB #execution #optimisation #query

Execution and optimization of continuous queries with cyclops (HL, SB), pp. 1069–1072.

SIGMOD-2013-WoodsTA #performance

Less watts, more performance: an intelligent storage engine for data appliances (LW, JT, GA), pp. 1073–1076.

SIGMOD-2013-NarasayyaDSCLP #as a service #multitenancy #performance #relational

A demonstration of SQLVM: performance isolation in multi-tenant relational database-as-a-service (VRN, SD, MS, SC, FL, HP), pp. 1077–1080.

SIGMOD-2013-Hartig #execution #linked data #named #open data #query #traversal #web

SQUIN: a traversal based query execution system for the web of linked data (OH), pp. 1081–1084.

SIGMOD-2013-MoustafaMDG #analysis #declarative #interactive #named #network

GRDB: a system for declarative and interactive analysis of noisy information networks (WEM, HM, AD, LG), pp. 1085–1088.

SIGMOD-2013-KhuranaD #named #network #scalability

HiNGE: enabling temporal network analytics at scale (UK, AD), pp. 1089–1092.

SIGMOD-2013-TaoYLBCHKSWWW #analysis #named #network #research

Research-insight: providing insight on research by publication network analysis (FT, XY, KHL, GB, XC, JH, RK, YS, CW, LW, TW), pp. 1093–1096.

SIGMOD-2013-HungBTCZ #named #network #query #scalability #visual notation

QUBLE: blending visual subgraph query formulation with query processing on large networks (HHH, SSB, BQT, BC, SZ), pp. 1097–1100.

SIGMOD-2013-ChoudhuryHCRBF #graph #named

StreamWorks: a system for dynamic graph search (SC, LBH, GCJ, AR, SB, JF), pp. 1101–1104.

SIGMOD-2013-KissingerSHL #query

Query processing on prefix trees live (TK, BS, DH, WL), pp. 1105–1108.

SIGMOD-2013-SimitsisW0 #data flow #framework #named #platform

xPAD: a platform for analytic data flows (AS, KW, PJ), pp. 1109–1112.

SIGMOD-2013-BailisVFHS #consistency #data transformation #metric

PBS at work: advancing data management with consistency metrics (PB, SV, MJF, JMH, IS), pp. 1113–1116.

SIGMOD-2013-UpadhyayaABHKRS #power of

The power of data use management in action (PU, NRA, MB, BH, RK, RR, DS), pp. 1117–1120.

SIGMOD-2013-LiuTZSLKM #comparison #multi #named #process #semantics

CTrace: semantic comparison of multi-granularity process traces (QL, KT, XZ, GS, XL, CK, RM), pp. 1121–1124.

SIGMOD-2013-SumbalyKS #big data #ecosystem

The big data ecosystem at LinkedIn (RS, JK, SS), pp. 1125–1134.

SIGMOD-2013-QiaoSDQSGCSZABBGGIJLPRSSSSTTWZ #distributed #framework #on the #platform

On brewing fresh espresso: LinkedIn’s distributed data serving platform (LQ, KS, SD, TQ, BS, BG, AC, OS, ZZ, AA, CB, GB, MG, KG, WI, SJ, SL, AP, AR, AS, RS, SS, YS, ST, CT, JW, DZ), pp. 1135–1146.

SIGMOD-2013-MishneDLSL #architecture #big data #performance #query #realtime #twitter

Fast data in the era of big data: Twitter’s real-time related query suggestion architecture (GM, JD, ZL, AS, JL), pp. 1147–1158.

SIGMOD-2013-LarsonCFHMNPPRRS #sql

Enhancements to SQL server column stores (PÅL, CC, CF, ENH, MM, MN, VP, SLP, SR, RR, MS), pp. 1159–1168.

SIGMOD-2013-RullBSKMT #query #sql

Query containment in entity SQL (GR, PAB, IGdS, YK, SM, ET), pp. 1169–1172.

SIGMOD-2013-KaufmannMVFKFM #data type #query #timeline

Timeline index: a unified data structure for processing queries on temporal data in SAP HANA (MK, AAM, PV, PMF, DK, FF, NM), pp. 1173–1184.

SIGMOD-2013-ArmstrongPBC #benchmark #database #facebook #graph #metric #named #social

LinkBench: a database benchmark based on the Facebook social graph (TGA, VP, DB, MC), pp. 1185–1196.

SIGMOD-2013-GhazalRHRPCJ #benchmark #big data #data analysis #industrial #metric #named #standard #towards

BigBench: towards an industry standard benchmark for big data analytics (AG, TR, MH, FR, MP, AC, HAJ), pp. 1197–1208.

SIGMOD-2013-DeshpandeLTDSRHD #knowledge base #maintenance #using

Building, maintaining, and using knowledge bases: a report from the trenches (OD, DSL, MT, SD, SS, AR, VH, AD), pp. 1209–1220.

SIGMOD-2013-DoKPPPD #challenge #query

Query processing on smart SSDs: opportunities and challenges (JD, YSK, JMP, CP, KP, DJD), pp. 1221–1230.

SIGMOD-2013-RaducanuBZ #adaptation

Micro adaptivity in Vectorwise (BR, PAB, MZ), pp. 1231–1242.

SIGMOD-2013-DiaconuFILMSVZ #named #sql

Hekaton: SQL server’s memory-optimized OLTP engine (CD, CF, EI, PÅL, PM, RS, NV, MZ), pp. 1243–1254.

SIGMOD-2013-DeWittHNSAAFG #query

Split query processing in polybase (DJD, AH, RVN, SS, JAS, AA, MF, JG), pp. 1255–1266.

SIGMOD-2013-Borthakur #database #facebook

Petabyte scale databases and storage systems at Facebook (DB), pp. 1267–1268.

SIGMOD-2013-BernsteinJPRT #compilation #incremental

Incremental mapping compilation in an object-to-relational mapping system (PAB, MJ, JP, GR, JFT), pp. 1269–1280.

SIGMOD-2013-VianaM #named #network #realtime #social

FriendRouter: real-time path finder in social networks (WV, MMM), pp. 1281–1282.

SIGMOD-2013-ChristensenL #adaptation

Adaptive log compression for massive log data (RC, FL), pp. 1283–1284.

SIGMOD-2013-MaasKHL #in memory #named

BUZZARD: a NUMA-aware in-memory indexing system (LMM, TK, DH, WL), pp. 1285–1286.

SIGMOD-2013-TanMWYYZ #in the cloud #named #realtime #streaming

Resa: realtime elastic streaming analytics in the cloud (TT, RTBM, MW, YY, YY, ZZ), pp. 1287–1288.

SIGMOD-2013-HuangZ #natural language #rdf

Natural language question answering over RDF data (RH, LZ), pp. 1289–1290.

SIGMOD-2013-LapeineHHG #data analysis #interactive #mobile #query

Mobile interaction and query optimizationin a protein-ligand data analysis system (ML, KGH, EH, NMG), pp. 1291–1292.

SIGMOD-2013-SarmaD #research

SIGMOD 2013 new researcher symposium (ADS, XLD), pp. 1293–1294.