Proceedings of the 32nd ACM SIGMOD International Conference on Management of Data
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Curtis E. Dyreson, Feifei Li, M. Tamer Özsu
Proceedings of the 32nd ACM SIGMOD International Conference on Management of Data
SIGMOD, 2014.

DATA
DBLP
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@proceedings{SIGMOD-2014,
	acmid         = "2588555",
	address       = "Snowbird, Utah, USA",
	editor        = "Curtis E. Dyreson and Feifei Li and M. Tamer Özsu",
	isbn          = "978-1-4503-2376-5",
	publisher     = "{ACM}",
	title         = "{Proceedings of the 32nd ACM SIGMOD International Conference on Management of Data}",
	year          = 2014,
}

Contents (166 items)

SIGMOD-2014-Sedlar #compilation #how
How i learned to stop worrying and love compilers (ES), pp. 1–2.
SIGMOD-2014-PangKFF #commit #named #predict
PLANET: making progress with commit processing in unpredictable environments (GP, TK, MJF, AF), pp. 3–14.
SIGMOD-2014-FaleiroTA #database #evaluation #lazy evaluation #transaction
Lazy evaluation of transactions in database systems (JMF, AT, DJA), pp. 15–26.
SIGMOD-2014-BailisFHGS #scalability #transaction
Scalable atomic visibility with RAMP transactions (PB, AF, JMH, AG, IS), pp. 27–38.
SIGMOD-2014-TranNST #approach #clustering #named
JECB: a join-extension, code-based approach to OLTP data partitioning (KQT, JFN, BS, DT), pp. 39–50.
SIGMOD-2014-LiuWZZK #behaviour #modelling #named #scalability #social
HYDRA: large-scale social identity linkage via heterogeneous behavior modeling (SL, SW, FZ, JZ, RK), pp. 51–62.
SIGMOD-2014-FengCBM #network #online #social
In search of influential event organizers in online social networks (KF, GC, SSB, SM), pp. 63–74.
SIGMOD-2014-TangXS #complexity #performance
Influence maximization: near-optimal time complexity meets practical efficiency (YT, XX, YS), pp. 75–86.
SIGMOD-2014-LiCFTL #performance
Efficient location-aware influence maximization (GL, SC, JF, KLT, WSL), pp. 87–98.
SIGMOD-2014-ShiMWC #clustering #network
Density-based place clustering in geo-social networks (JS, NM, DW, DWC), pp. 99–110.
SIGMOD-2014-LongWZX #approach
Hypersphere dominance: an optimal approach (CL, RCWW, BZ, MX), pp. 111–122.
SIGMOD-2014-ChenLWXML #algorithm #network #performance #query
Efficient algorithms for optimal location queries in road networks (ZC, YL, RCWW, JX, GM, CL), pp. 123–134.
SIGMOD-2014-ChenKYYZ #robust #set
Robust set reconciliation (DC, CK, KY, WY, QZ), pp. 135–146.
SIGMOD-2014-ToshniwalTSRPKJGFDBMR #twitter
Storm@twitter (AT, ST, AS, KR, JMP, SK, JJ, KG, MF, JD, NB, SM, DVR), pp. 147–156.
SIGMOD-2014-YangTLRMG #named #realtime
Druid: a real-time analytical data store (FY, ET, XL, NR, GM, DG), pp. 157–168.
SIGMOD-2014-HuangCCLXWBH #generative
The next generation operational data historian for IoT based on informix (SH, YC, XC, KL, XX, CW, KB, IH), pp. 169–176.
SIGMOD-2014-TaftVSSMS #benchmark #metric #named
GenBase: a complex analytics genomics benchmark (RT, MV, NRS, NS, SM, MS), pp. 177–188.
SIGMOD-2014-AilamakiLTPP #how #multi
How to stop under-utilization and love multicores (AA, EL, PT, DP, IP), pp. 189–192.
SIGMOD-2014-MatsubaraSF #automation #co-evolution #mining #named #sequence
AutoPlait: automatic mining of co-evolving time sequences (YM, YS, CF), pp. 193–204.
SIGMOD-2014-YamamotoIF #approximate #data type #mining
Resource-oriented approximation for frequent itemset mining from bursty data streams (YY, KI, SF), pp. 205–216.
SIGMOD-2014-ZhangDI #complexity #on the #optimisation #query
On complexity and optimization of expensive queries in complex event processing (HZ, YD, NI), pp. 217–228.
SIGMOD-2014-QiCRR #online #sequence
Complex event analytics: online aggregation of stream sequence patterns (YQ, LC, MR, EAR), pp. 229–240.
SIGMOD-2014-KhanYDK #query #towards
Towards indexing functions: answering scalar product queries (AK, PY, BD, DK), pp. 241–252.
SIGMOD-2014-NikolicEK #incremental #maintenance #named #query
LINVIEW: incremental view maintenance for complex analytical queries (MN, ME, CK), pp. 253–264.
SIGMOD-2014-ZhangKR #feature model #optimisation
Materialization optimizations for feature selection workloads (CZ, AK, CR), pp. 265–276.
SIGMOD-2014-ZengGMZ #approximate #estimation #fault #performance #query
The analytical bootstrap: a new method for fast error estimation in approximate query processing (KZ, SG, BM, CZ), pp. 277–288.
SIGMOD-2014-GurajadaSMT #distributed #message passing #named #rdf
TriAD: a distributed shared-nothing RDF engine based on asynchronous message passing (SG, SS, IM, MT), pp. 289–300.
SIGMOD-2014-FanWW #bound #graph #query
Querying big graphs within bounded resources (WF, XW, YW), pp. 301–312.
SIGMOD-2014-ZouHWYHZ #approach #data-driven #graph #natural language #rdf
Natural language question answering over RDF: a graph data driven approach (LZ, RH, HW, JXY, WH, DZ), pp. 313–324.
SIGMOD-2014-KusumotoMK #scalability #similarity
Scalable similarity search for SimRank (MK, TM, KiK), pp. 325–336.
SIGMOD-2014-SolimanAREGSCGRPWNKB #architecture #big data #composition #named #query
Orca: a modular query optimizer architecture for big data (MAS, LA, VR, AEH, ZG, ES, GCC, CGA, FR, MP, FW, SN, KK, RB), pp. 337–348.
SIGMOD-2014-GhodsniaBN #optimisation #parallel #query
Parallel I/O aware query optimization (PG, ITB, AN), pp. 349–360.
SIGMOD-2014-MoerkotteDMNB #order
Exploiting ordered dictionaries to efficiently construct histograms with q-error guarantees in SAP HANA (GM, DD, NM, AN, AB), pp. 361–372.
SIGMOD-2014-AntovaESGPW #optimisation #query
Optimizing queries over partitioned tables in MPP systems (LA, AEH, MAS, ZG, MP, FW), pp. 373–384.
SIGMOD-2014-BlanasWBDS #data analysis #parallel
Parallel data analysis directly on scientific file formats (SB, KW, SB, BD, AS), pp. 385–396.
SIGMOD-2014-ZaschkeZN #multi
The PH-tree: a space-efficient storage structure and multi-dimensional index (TZ, CZ, MCN), pp. 397–408.
SIGMOD-2014-DugganS #array #database #incremental
Incremental elasticity for array databases (JD, MS), pp. 409–420.
SIGMOD-2014-XuKM #framework #multi #nondeterminism #performance #summary
Efficient summarization framework for multi-attribute uncertain data (JX, DVK, SM), pp. 421–432.
SIGMOD-2014-PochampallySDMS #correlation
Fusing data with correlations (RP, ADS, XLD, AM, DS), pp. 433–444.
SIGMOD-2014-ChalamallaIOP
Descriptive and prescriptive data cleaning (AC, IFI, MO, PP), pp. 445–456.
SIGMOD-2014-WangT #program repair #towards
Towards dependable data repairing with fixing rules (JW, NT), pp. 457–468.
SIGMOD-2014-WangKFGKM #framework #performance #query
A sample-and-clean framework for fast and accurate query processing on dirty data (JW, SK, MJF, KG, TK, TM), pp. 469–480.
SIGMOD-2014-AgarwalMKTJMMS #approximate #performance #query #reliability
Knowing when you’re wrong: building fast and reliable approximate query processing systems (SA, HM, AK, AT, MIJ, SM, BM, IS), pp. 481–492.
SIGMOD-2014-ShenCCDN #query #tuple
Discovering queries based on example tuples (YS, KC, SC, BD, LN), pp. 493–504.
SIGMOD-2014-KalininCZ #data analysis #interactive #semantics #using
Interactive data exploration using semantic windows (AK, , SBZ), pp. 505–516.
SIGMOD-2014-DimitriadouPD #automation #data analysis #framework #interactive #named #query
Explore-by-example: an automatic query steering framework for interactive data exploration (KD, OP, YD), pp. 517–528.
SIGMOD-2014-KangLMKO #database #memory management #relational
Durable write cache in flash memory SSD for relational and NoSQL databases (WHK, SWL, BM, YSK, MO), pp. 529–540.
SIGMOD-2014-GoelCGMMHW #database #facebook #performance
Fast database restarts at facebook (AG, BC, CG, DM, JM, FUH, JLW), pp. 541–549.
SIGMOD-2014-ElmeleegyOR #distributed #memory management #named #pipes and filters #using
SpongeFiles: mitigating data skew in mapreduce using distributed memory (KE, CO, BR), pp. 551–562.
SIGMOD-2014-WesleyT
Leveraging compression in the tableau data engine (RMGW, PT), pp. 563–573.
SIGMOD-2014-Herlihy #hardware #memory management #transaction
Fun with hardware transactional memory (MH), p. 575.
SIGMOD-2014-ParkW #named
CrowdFill: collecting structured data from the crowd (HP, JW), pp. 577–588.
SIGMOD-2014-AmsterdamerDMNS #mining #named #query
OASSIS: query driven crowd mining (YA, SBD, TM, SN, AS), pp. 589–600.
SIGMOD-2014-GokhaleDDNRSZ #crowdsourcing #named
Corleone: hands-off crowdsourcing for entity matching (CG, SD, AD, JFN, NR, JWS, XZ), pp. 601–612.
SIGMOD-2014-ShaoCC #detection #parallel #performance
Efficient cohesive subgraphs detection in parallel (YS, LC, BC), pp. 613–624.
SIGMOD-2014-ShaoCCMYX #graph #parallel #scalability
Parallel subgraph listing in a large-scale graph (YS, BC, LC, LM, JY, NX), pp. 625–636.
SIGMOD-2014-KimHLPY #framework #graph #named #parallel #scalability
OPT: a new framework for overlapped and parallel triangulation in large-scale graphs (JK, WSH, SL, KP, HY), pp. 637–648.
SIGMOD-2014-ChenW #knowledge base #probability
Knowledge expansion over probabilistic knowledge bases (YC, DZW), pp. 649–660.
SIGMOD-2014-XiaoE #database #named #relational
InsightNotes: summary-based annotation management in relational databases (DX, MYE), pp. 661–672.
SIGMOD-2014-DengLF #algorithm #similarity #string
A pivotal prefix based filtering algorithm for string similarity search (DD, GL, JF), pp. 673–684.
SIGMOD-2014-RheinlanderBKHSL #data flow #optimisation
Versatile optimization of UDF-heavy data flows with sofa (AR, MB, AK, AH, TS, UL), pp. 685–688.
SIGMOD-2014-KieferKSHML #in memory #multi
ERIS live: a NUMA-aware in-memory storage engine for tera-scale multiprocessor systems (TK, TK, BS, DH, DM, WL), pp. 689–692.
SIGMOD-2014-KarnagelHLHLHM #performance #query
Demonstrating efficient query processing in heterogeneous environments (TK, MH, ML, DH, WL, MH, VM), pp. 693–696.
SIGMOD-2014-MuhlbauerRSRK0
One DBMS for all: the brawny few and the wimpy crowd (TM, WR, RS, AR, AK, TN), pp. 697–700.
SIGMOD-2014-SimitsisWBW #named #query
VQA: vertica query analyzer (AS, KW, JB, JW), pp. 701–704.
SIGMOD-2014-ChenGLMPVK #manycore #named #scalability
Palette: enabling scalable analytics for big-memory, multicore machines (FC, TG, JL, MM, JP, KV, MK), pp. 705–708.
SIGMOD-2014-LiJ #database #interactive #interface #named #natural language #query #relational
NaLIR: an interactive natural language interface for querying relational databases (FL, HVJ), pp. 709–712.
SIGMOD-2014-0001SW #data flow #named #source code
BabbleFlow: a translator for analytic data flow programs (PJ, AS, KW), pp. 713–716.
SIGMOD-2014-LevandoskiLSBD #hardware
Indexing on modern hardware: hekaton and beyond (JJL, DBL, SS, AB, CD), pp. 717–720.
SIGMOD-2014-ZhangZCJC #named
CrowdMatcher: crowd-assisted schema matching (CJZ, ZZ, LC, HVJ, CCC), pp. 721–724.
SIGMOD-2014-KaoudiM #data transformation #rdf
Cloud-based RDF data management (ZK, IM), pp. 725–729.
SIGMOD-2014-ChandramouliG
Patience is a virtue: revisiting merge and sort on modern processors (BC, JG), pp. 731–742.
SIGMOD-2014-LeisBK0 #evaluation #framework #manycore #parallel #query
Morsel-driven parallelism: a NUMA-aware query evaluation framework for the many-core age (VL, PAB, AK, TN), pp. 743–754.
SIGMOD-2014-PolychroniouR #clustering #in memory #scalability
A comprehensive study of main-memory partitioning and its application to large-scale comparison- and radix-sort (OP, KAR), pp. 755–766.
SIGMOD-2014-ArnoldHFSKL #database #set
An application-specific instruction set for accelerating set-oriented database primitives (OA, SH, GF, BS, TK, WL), pp. 767–778.
SIGMOD-2014-TermehchyVCW #concept #question
Which concepts are worth extracting? (AT, AV, YC, MW), pp. 779–790.
SIGMOD-2014-DyresonBG #query #using
Querying virtual hierarchies using virtual prefix-based numbers (CED, SSB, RG), pp. 791–802.
SIGMOD-2014-GulwaniM #data analysis #interactive #named #natural language #programming #spreadsheet
NLyze: interactive programming by natural language for spreadsheet data analysis and manipulation (SG, MM), pp. 803–814.
SIGMOD-2014-TaharaDA #multi #named #sql
Sinew: a SQL system for multi-structured data (DT, TD, DJA), pp. 815–826.
SIGMOD-2014-QinYCCZL #graph #pipes and filters #scalability
Scalable big graph processing in MapReduce (LQ, JXY, LC, HC, CZ, XL), pp. 827–838.
SIGMOD-2014-OkcanR #pipes and filters
Anti-combining for MapReduce (AO, MR), pp. 839–850.
SIGMOD-2014-LeFevreSHTPC #big data #data analysis #design #physics
Opportunistic physical design for big data analytics (JL, JS, HH, JT, NP, MJC), pp. 851–862.
SIGMOD-2014-LevinK #network #pipes and filters #social #using
Stratified-sampling over social networks using mapreduce (RL, YK), pp. 863–874.
SIGMOD-2014-HalperinACCKMORWWXBHS #big data #data transformation
Demonstration of the Myria big data management service (DH, VTdA, LLC, SC, PK, DM, JO, VR, JW, AW, SX, MB, BH, DS), pp. 881–884.
SIGMOD-2014-ParameswaranTGW #named #tool support
DataSift: a crowd-powered search toolkit (AGP, MHT, HGM, JW), pp. 885–888.
SIGMOD-2014-PsaroudakisAOA #concurrent #query
Reactive and proactive sharing across concurrent analytical queries (IP, MA, MO, AA), pp. 889–892.
SIGMOD-2014-YangXWWSWY #graph #named #query
SLQ: a user-friendly graph querying system (SY, YX, YW, TW, HS, JW, XY), pp. 893–896.
SIGMOD-2014-AlarabiEAM #named #web #web service
TAREEG: a MapReduce-based web service for extracting spatial data from OpenStreetMap (LA, AE, RA, MFM), pp. 897–900.
SIGMOD-2014-MottinLVP #query
Searching with XQ: the exemplar query search engine (DM, ML, YV, TP), pp. 901–904.
SIGMOD-2014-KargarACGSY #database #keyword #named #relational
MeanKS: meaningful keyword search in relational databases with complex schema (MK, AA, NC, PG, JS, XY), pp. 905–908.
SIGMOD-2014-PapailiouTKKK #data transformation #graph #performance #rdf
H2RDF+: an efficient data management system for big RDF graphs (NP, DT, IK, PK, NK), pp. 909–912.
SIGMOD-2014-BinnigSZ #named #query
DoomDB: kill the query (CB, AS, EZ), pp. 913–916.
SIGMOD-2014-HoweFFFKR #database #education #question
Should we all be teaching “intro to data science” instead of “intro to databases”? (BH, MJF, JF, JF, TK, RR), pp. 917–918.
SIGMOD-2014-RekatsinasDS #data flow
Characterizing and selecting fresh data sources (TR, XLD, DS), pp. 919–930.
SIGMOD-2014-CheungMS #database #lazy evaluation #named #query
Sloth: being lazy is a virtue (when issuing database queries) (AC, SM, ASL), pp. 931–942.
SIGMOD-2014-KaranasosBKOEXJ #optimisation #platform #query #scalability
Dynamically optimizing queries over large scale data platforms (KK, AB, MK, , VE, CX, JJ), pp. 943–954.
SIGMOD-2014-XiongHN #approach #distributed #network #performance #query
A software-defined networking based approach for performance management of analytical queries on distributed data stores (PX, HH, JFN), pp. 955–966.
SIGMOD-2014-ParchasGPB #graph #nondeterminism
The pursuit of a good possible world: extracting representative instances of uncertain graphs (PP, FG, DP, FB), pp. 967–978.
SIGMOD-2014-SatishSPSPHSYD #dataset #framework #graph #navigation #using
Navigating the maze of graph analytics frameworks using massive graph datasets (NS, NS, MMAP, JS, JP, MAH, SS, ZY, PD), pp. 979–990.
SIGMOD-2014-CuiXWW #community #graph #scalability
Local search of communities in large graphs (WC, YX, HW, WW), pp. 991–1002.
SIGMOD-2014-AroraSB #graph #mining #statistics
Mining statistically significant connected subgraphs in vertex labeled graphs (AA, MS, AB), pp. 1003–1014.
SIGMOD-2014-IleanaCDK #constraints #query
Complete yet practical search for minimal query reformulations under constraints (II, BC, AD, YK), pp. 1015–1026.
SIGMOD-2014-CheneyLW #evaluation #multi #performance #query #relational
Query shredding: efficient relational evaluation of queries over nested multisets (JC, SL, PW), pp. 1027–1038.
SIGMOD-2014-DuttH #estimation #query
Plan bouquets: query processing without selectivity estimation (AD, JRH), pp. 1039–1050.
SIGMOD-2014-LiPJ #sql
Schema-free SQL (FL, TP, HVJ), pp. 1051–1062.
SIGMOD-2014-WuWLSSALYY #named #statistics
iCheck: computationally combating “lies, d-ned lies, and statistics” (YW, BW, PL, AS, ES, PKA, CL, JY, CY), pp. 1063–1066.
SIGMOD-2014-ZengGGMZ #approximate #named #query #scalability
ABS: a system for scalable approximate queries with accuracy guarantees (KZ, SG, JG, BM, CZ), pp. 1067–1070.
SIGMOD-2014-ElmagarmidIOQ0Y #interactive #named
NADEEF/ER: generic and interactive entity resolution (AKE, IFI, MO, JAQR, NT, SY), pp. 1071–1074.
SIGMOD-2014-ChengMZK #flexibility #named
SerpentTI: flexible analytics of users, boards and domains for pinterest (AC, MM, CZ, NK), pp. 1075–1078.
SIGMOD-2014-GalbrunM #interactive #mining
Interactive redescription mining (EG, PM), pp. 1079–1082.
SIGMOD-2014-Garcia-AlvaradoO #named #ontology
ONTOCUBO: cube-based ontology construction and exploration (CGA, CO), pp. 1083–1086.
SIGMOD-2014-EmrichFKNRZ #framework #nondeterminism
An extendable framework for managing uncertain spatio-temporal data (TE, MF, HPK, JN, MR, AZ), pp. 1087–1090.
SIGMOD-2014-TaoBHJWNELRS #automation #named #network
NewsNetExplorer: automatic construction and exploration of news information networks (FT, GB, JH, HJ, CW, BN, AEK, JL, XR, YS), pp. 1091–1094.
SIGMOD-2014-MottinMRDPV #interactive #named #problem #query
IQR: an interactive query relaxation system for the empty-answer problem (DM, AM, SBR, GD, TP, YV), pp. 1095–1098.
SIGMOD-2014-ZhangYFLY #named #realtime #scalability
OceanRT: real-time analytics over large temporal data (SZ, YY, WF, LL, MY), pp. 1099–1102.
SIGMOD-2014-AlagiannisIA #adaptation #named
H2O: a hands-free adaptive store (IA, SI, AA), pp. 1103–1114.
SIGMOD-2014-SunFKX #clustering #fine-grained
Fine-grained partitioning for aggressive data skipping (LS, MJF, SK, RSX), pp. 1115–1126.
SIGMOD-2014-GaoJLO #named
DSH: data sensitive hashing for high-dimensional k-nnsearch (JG, HVJ, WL, BCO), pp. 1127–1138.
SIGMOD-2014-WuJZ #graph #nearest neighbour #performance #query #random #scalability
Fast and unified local search for random walk based k-nearest-neighbor query in large graphs (YW, RJ, XZ), pp. 1139–1150.
SIGMOD-2014-ZhangMP
Global immutable region computation (JZ, KM, HP), pp. 1151–1162.
SIGMOD-2014-RanuHS #database #graph #query
Answering top-k representative queries on graph databases (SR, MXH, AKS), pp. 1163–1174.
SIGMOD-2014-ChiangDN #evolution #modelling
Modeling entity evolution for temporal record matching (YHC, AD, JFN), pp. 1175–1186.
SIGMOD-2014-LiLGZFH #estimation #reliability #semistructured data
Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation (QL, YL, JG, BZ, WF, JH), pp. 1187–1198.
SIGMOD-2014-ShenHW #network #probability #web
A probabilistic model for linking named entities in web text with heterogeneous information networks (WS, JH, JW), pp. 1199–1210.
SIGMOD-2014-ZhuSL0Z
Matching heterogeneous event data (XZ, SS, XL, JW, LZ), pp. 1211–1222.
SIGMOD-2014-ChangWMJMGLCWSB #named #parallel #sql
HAWQ: a massively parallel processing SQL engine in hadoop (LC, ZW, TM, LJ, LM, AG, LL, JC, CW, GS, MB), pp. 1223–1234.
SIGMOD-2014-HuaiCGHHOPYL0
Major technical advancements in apache hive (YH, AC, AG, GH, ENH, OO, JP, YY, RL, XZ), pp. 1235–1246.
SIGMOD-2014-LiuHM #data transformation #development
JSON data management: supporting schema-less development in RDBMS (ZHL, BCH, DM), pp. 1247–1258.
SIGMOD-2014-ArasuEKR #query
Querying encrypted data (AA, KE, RK, RR), pp. 1259–1261.
SIGMOD-2014-ShiCDO #ad hoc #towards
Towards unified ad-hoc data processing (XS, BC, GD, BCO), pp. 1263–1274.
SIGMOD-2014-LangNRN #database
Partial results in database systems (WL, RVN, ER, JFN), pp. 1275–1286.
SIGMOD-2014-ChengR #parallel
Parallel in-situ data processing with speculative loading (YC, FR), pp. 1287–1298.
SIGMOD-2014-TrummerK #approximate #optimisation #query
Approximation schemes for many-objective query optimization (IT, CK), pp. 1299–1310.
SIGMOD-2014-HuangCQTY #community #graph #query #scalability
Querying k-truss community in large and dynamic graphs (XH, HC, LQ, WT, JXY), pp. 1311–1322.
SIGMOD-2014-ZhuLWX #approach #graph #order #query #reachability #scalability
Reachability queries on large dynamic graphs: a total order approach (ADZ, WL, SW, XX), pp. 1323–1334.
SIGMOD-2014-MondalD #graph #named #query #scalability
EAGr: supporting continuous ego-centric aggregate queries over large dynamic graphs (JM, AD), pp. 1335–1346.
SIGMOD-2014-SricharanD #graph
Localizing anomalous changes in time-evolving graphs (KS, KD), pp. 1347–1358.
SIGMOD-2014-LiuH #cost analysis #online #optimisation
Online optimization and fair costing for dynamic data sharing in a cloud data market (ZL, HH), pp. 1359–1370.
SIGMOD-2014-CaiGLPVJ #algorithm #comparison #implementation #machine learning #platform #scalability
A comparison of platforms for implementing and running very large scale machine learning algorithms (ZC, ZJG, SL, LLP, ZV, CMJ), pp. 1371–1382.
SIGMOD-2014-ZhangTPH #design #multitenancy
Re-evaluating designs for multi-tenant OLTP workloads on SSD-basedI/O subsystems (NZ, JT, JMP, HH), pp. 1383–1394.
SIGMOD-2014-WongKCLY #database #query
Secure query processing with data interoperability in a cloud database environment (WKW, BK, DWLC, RL, SMY), pp. 1395–1406.
SIGMOD-2014-OzcanTAKMRW #big data #question
Are we experiencing a big data bubble? (, NT, DJA, MK, CM, KR, JLW), pp. 1407–1408.
SIGMOD-2014-HanW #mining
Mining latent entity structures from massive unstructured and interconnected data (JH, CW), pp. 1409–1410.
SIGMOD-2014-BenderKG #database #relational #security
Explainable security for relational databases (GB, LK, JG), pp. 1411–1422.
SIGMOD-2014-ZhangCPSX #named #network
PrivBayes: private data release via bayesian networks (JZ, GC, CMP, DS, XX), pp. 1423–1434.
SIGMOD-2014-QardajiYL #named
PriView: practical differentially private release of marginal contingency tables (WHQ, WY, NL), pp. 1435–1446.
SIGMOD-2014-HeMD #policy #privacy #trade-off #using
Blowfish privacy: tuning privacy-utility trade-offs using policies (XH, AM, BD), pp. 1447–1458.
SIGMOD-2014-DignosBG
Overlap interval partition join (AD, MHB, JG), pp. 1459–1470.
SIGMOD-2014-PatilS #nondeterminism #similarity #string
Similarity joins for uncertain strings (MP, RS), pp. 1471–1482.
SIGMOD-2014-PolychroniouSR #distributed #network
Track join: distributed joins with minimal network traffic (OP, RS, KAR), pp. 1483–1494.
SIGMOD-2014-AugstenM0K #database #on the fly #relational #similarity
On-the-fly token similarity joins in relational databases (NA, AM, TN, AK), pp. 1495–1506.
SIGMOD-2014-AlvanakiM #correlation #scalability #set
Tracking set correlations at large scale (FA, SM), pp. 1507–1518.
SIGMOD-2014-Thirumuruganathan0HD #estimation #framework #microblog #platform
Aggregate estimation over a microblog platform (ST, NZ, VH, GD), pp. 1519–1530.
SIGMOD-2014-ZhuGCL #analysis #clustering #graph #sentiment #social #social media
Tripartite graph clustering for dynamic sentiment analysis on social media (LZ, AG, JC, KL), pp. 1531–1542.
SIGMOD-2014-YinCCHH #behaviour #modelling #social #social media
A temporal context-aware model for user behavior modeling in social media systems (HY, BC, LC, ZH, ZH), pp. 1543–1554.
SIGMOD-2014-ZoumpatianosIP #big data #interactive
Indexing for interactive exploration of big data series (KZ, SI, TP), pp. 1555–1566.
SIGMOD-2014-IstvanWA #big data #data flow
Histograms as a side effect of data movement for big data (ZI, LW, GA), pp. 1567–1578.
SIGMOD-2014-RoyS #approach #database #formal method #query
A formal approach to finding explanations for database queries (SR, DS), pp. 1579–1590.
SIGMOD-2014-LeFevreSHTPC14a #big data #multi #named #query
MISO: souping up big data query processing with a multistore system (JL, JS, HH, JT, NP, MJC), pp. 1591–1602.
SIGMOD-2014-TaoL #performance #similarity
Efficient top-K SimRank-based similarity join (WT, GL), pp. 1603–1604.
SIGMOD-2014-Kroetsch #database #in memory #multi #statistics
Multi-dimensional data statistics for columnar in-memory databases (CK), pp. 1605–1606.
SIGMOD-2014-Dev #algorithm #community #detection #interactive #network #online #social
A user interaction based community detection algorithm for online social networks (HD), pp. 1607–1608.
SIGMOD-2014-Xie #distance #named #similarity
EDS: a segment-based distance measure for sub-trajectory similarity search (MX), pp. 1609–1610.
SIGMOD-2014-Musleh #analysis #twitter #visual notation
Spatio-temporal visual analysis for event-specific tweets (MM), pp. 1611–1612.
SIGMOD-2014-FernandesBRAM #named #query #tuple
PackageBuilder: querying for packages of tuples (KF, MB, RR, AA, AM), pp. 1613–1614.
SIGMOD-2014-Dev14a #community #detection #graph #precise #privacy #social
Privacy preserving social graphs for high precision community detection (HD), pp. 1615–1616.

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