BibSLEIGH — Proceedings of the 20th International Conference on Knowledge Discovery and Data Mining

Sofus A. Macskassy, Claudia Perlich, Jure Leskovec, Wei Wang, Rayid Ghani
Proceedings of the 20th International Conference on Knowledge Discovery and Data Mining
KDD, 2014.

KER

@proceedings{KDD-2014,
	acmid         = "2623330",
	address       = "New York, New York, USA",
	editor        = "Sofus A. Macskassy and Claudia Perlich and Jure Leskovec and Wei Wang and Rayid Ghani",
	isbn          = "978-1-4503-2956-9",
	publisher     = "{ACM}",
	title         = "{Proceedings of the 20th International Conference on Knowledge Discovery and Data Mining}",
	year          = 2014,
}

Contents (220 items)

KDD-2014-Etzioni #data mining #future of #mining: The battle for the future of data mining (OE), p. 1.
KDD-2014-Horvitz #people #predict: Data, predictions, and decisions in support of people and society (EH), p. 2.
KDD-2014-Schadt #approach #data-driven: A data driven approach to diagnosing and treating disease (EES), p. 3.
KDD-2014-Mullainathan #machine learning #question #social: Bugbears or legitimate threats?: (social) scientists’ criticisms of machine learning? (SM), p. 4.
KDD-2014-SongZSS #behaviour #predict #scalability: Prediction of human emergency behavior and their mobility following large-scale disaster (XS, QZ, YS, RS), pp. 5–14.
KDD-2014-DongYTYC #mobile #network #social: Inferring user demographics and social strategies in mobile social networks (YD, YY, JT, YY, NVC), pp. 15–24.
KDD-2014-WangZX #estimation #using: Travel time estimation of a path using sparse trajectories (YW, YZ, YX), pp. 25–34.
KDD-2014-LichmanS #kernel #modelling: Modeling human location data with mixtures of kernel densities (ML, PS), pp. 35–44.
KDD-2014-QuZLLX #effectiveness #recommendation: A cost-effective recommender system for taxi drivers (MQ, HZ, JL, GL, HX), pp. 45–54.
KDD-2014-ParkG #algorithm #health #named #rank #re-engineering: LUDIA: an aggregate-constrained low-rank reconstruction algorithm to leverage publicly released health data (YP, JG), pp. 55–64.
KDD-2014-MukherjeeWD #community #health #people: People on drugs: credibility of user statements in health communities (SM, GW, CDNM), pp. 65–74.
KDD-2014-GhassemiNDBJRS #modelling: Unfolding physiological state: mortality modelling in intensive care units (MG, TN, FDV, NB, RJ, AR, PS), pp. 75–84.
KDD-2014-WangSW #learning #modelling: Unsupervised learning of disease progression models (XW, DS, FW), pp. 85–94.
KDD-2014-PapalexakisFSTMF #algorithm #challenge #multi: Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments (EEP, AF, NDS, PPT, TMM, CF), pp. 95–104.
KDD-2014-MatsubaraSPF #automation #mining #named: FUNNEL: automatic mining of spatially coevolving epidemics (YM, YS, WGvP, CF), pp. 105–114.
KDD-2014-HoGS #health #named: Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization (JCH, JG, JS), pp. 115–124.
KDD-2014-ChiaS #mining #predict #scalability: Scalable noise mining in long-term electrocardiographic time-series to predict death following heart attacks (CCC, ZS), pp. 125–134.
KDD-2014-ZhouWHY #data-driven #metaprogramming: From micro to macro: data driven phenotyping by densification of longitudinal electronic medical records (JZ, FW, JH, JY), pp. 135–144.
KDD-2014-WangZQWD #multi #predict #risk management: Clinical risk prediction with multilinear sparse logistic regression (FW, PZ, BQ, XW, ID), pp. 145–154.
KDD-2014-RossCCD #clustering #process: Dual beta process priors for latent cluster discovery in chronic obstructive pulmonary disease (JCR, PJC, MHC, JGD), pp. 155–162.
KDD-2014-YuanCL #generative #named #recommendation: COM: a generative model for group recommendation (QY, GC, CYL), pp. 163–172.
KDD-2014-CharlinZL #collaboration #library: Leveraging user libraries to bootstrap collaborative filtering (LC, RSZ, HL), pp. 173–182.
KDD-2014-GuSJWC #estimation #network #topic: Topic-factorized ideal point estimation model for legislative voting network (YG, YS, NJ, BW, TC), pp. 183–192.
KDD-2014-DiaoQWSJW #aspect-oriented #modelling #recommendation #sentiment: Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS) (QD, MQ, CYW, AJS, JJ, CW), pp. 193–202.
KDD-2014-HasanKHT #adaptation: User effort minimization through adaptive diversification (MH, AK, VH, VJT), pp. 203–212.
KDD-2014-HeFKMP #category theory #clustering: Relevant overlapping subspace clusters on categorical data (XH, JF, BK, STM, CP), pp. 213–222.
KDD-2014-DundarYR #identification #towards: Batch discovery of recurring rare classes toward identifying anomalous samples (MD, HZY, BR), pp. 223–232.
KDD-2014-YinW #approach #clustering #modelling #multi: A dirichlet multinomial mixture model-based approach for short text clustering (JY, JW), pp. 233–242.
KDD-2014-ZufleESMZR #clustering #nondeterminism: Representative clustering of uncertain data (AZ, TE, KAS, NM, AZ, MR), pp. 243–252.
KDD-2014-GunnemannFRS #clustering #multi #named: SMVC: semi-supervised multi-view clustering in subspace projections (SG, IF, MR, TS), pp. 253–262.
KDD-2014-PrabhuV #classification #learning #multi #named #performance: FastXML: a fast, accurate and stable tree-classifier for extreme multi-label learning (YP, MV), pp. 263–272.
KDD-2014-ZhaiXW #multi #optimisation: A multi-class boosting method with direct optimization (SZ, TX, SW), pp. 273–282.
KDD-2014-LiuWY #algorithm #performance: An efficient algorithm for weak hierarchical lasso (YL, JW, JY), pp. 283–292.
KDD-2014-SahooHL #kernel #multi #online: Online multiple kernel regression (DS, SCHH, BL), pp. 293–302.
KDD-2014-XieGFTY: Class-distribution regularized consensus maximization for alleviating overfitting in model combination (SX, JG, WF, DST, PSY), pp. 303–312.
KDD-2014-ZhangZ #scalability: Large margin distribution machine (TZ, ZHZ), pp. 313–322.
KDD-2014-QianHJPZ #approach #distance #learning #metric #using: Distance metric learning using dropout: a structured regularization approach (QQ, JH, RJ, JP, SZ), pp. 323–332.
KDD-2014-GohR #learning: Box drawings for learning with imbalanced data (STG, CR), pp. 333–342.
KDD-2014-TsaiLL #classification #incremental #linear: Incremental and decremental training for linear classification (CHT, CYL, CJL), pp. 343–352.
KDD-2014-ZhangTMF #learning #network: Supervised deep learning with auxiliary networks (JZ, GT, YM, WF), pp. 353–361.
KDD-2014-BabaieCA #detection #online: Sleep analytics and online selective anomaly detection (TB, SC, RGA), pp. 362–371.
KDD-2014-YuH0 #analysis #detection #named #social #social media: GLAD: group anomaly detection in social media analysis (QRY, XH, YL), pp. 372–381.
KDD-2014-ChengB0 #approach #dependence #effectiveness #named: FBLG: a simple and effective approach for temporal dependence discovery from time series data (DC, MTB, YL), pp. 382–391.
KDD-2014-GrabockaSWS #learning: Learning time-series shapelets (JG, NS, MW, LST), pp. 392–401.
KDD-2014-GhalwashRO #nondeterminism: Utilizing temporal patterns for estimating uncertainty in interpretable early decision making (MFG, VR, ZO), pp. 402–411.
KDD-2014-ShaoAK #concept #data type #learning #prototype: Prototype-based learning on concept-drifting data streams (JS, ZA, SK), pp. 412–421.
KDD-2014-YuCRW #detection: Detecting moving object outliers in massive-scale trajectory streams (YY, LC, EAR, QW), pp. 422–431.
KDD-2014-Aggarwal #classification #problem: The setwise stream classification problem (CCA), pp. 432–441.
KDD-2014-Ting #approximate: Streamed approximate counting of distinct elements: beating optimal batch methods (DT), pp. 442–451.
KDD-2014-LanSB #analysis #learning: Time-varying learning and content analytics via sparse factor analysis (ASL, CS, RGB), pp. 452–461.
KDD-2014-Kushnir #adaptation #kernel #learning: Active-transductive learning with label-adapted kernels (DK), pp. 462–471.
KDD-2014-VasishtDVK #classification #learning #multi: Active learning for sparse bayesian multilabel classification (DV, ACD, MV, AK), pp. 472–481.
KDD-2014-WangNH #adaptation #induction #learning #scalability: Large-scale adaptive semi-supervised learning via unified inductive and transductive model (DW, FN, HH), pp. 482–491.
KDD-2014-GaddeAO #graph #learning #using: Active semi-supervised learning using sampling theory for graph signals (AG, AA, AO), pp. 492–501.
KDD-2014-WangSE #collaboration #learning #permutation: Active collaborative permutation learning (JW, NS, JE), pp. 502–511.
KDD-2014-NguyenCRB #effectiveness #feature model: Effective global approaches for mutual information based feature selection (XVN, JC, SR, JB), pp. 512–521.
KDD-2014-XuHWZ #feature model: Gradient boosted feature selection (ZEX, GH, KQW, AXZ), pp. 522–531.
KDD-2014-XiangYY: Simultaneous feature and feature group selection through hard thresholding (SX, TY, JY), pp. 532–541.
KDD-2014-ZhaoLC #performance: Safe and efficient screening for sparse support vector machine (ZZ, JL, JC), pp. 542–551.
KDD-2014-PurushothamMKO #feature model #higher-order #interactive #learning #modelling: Factorized sparse learning models with interpretable high order feature interactions (SP, MRM, CCJK, RO), pp. 552–561.
KDD-2014-ChengL #equivalence #parallel #process: Parallel gibbs sampling for hierarchical dirichlet processes via gamma processes equivalence (DC, YL), pp. 562–571.
KDD-2014-DasuLS #empirical: Empirical glitch explanations (TD, JML, DS), pp. 572–581.
KDD-2014-YangH #learning #parametricity: Learning with dual heterogeneity: a nonparametric bayes model (HY, JH), pp. 582–590.
KDD-2014-LiuTL #online #process: Online chinese restaurant process (CLL, THT, CHL), pp. 591–600.
KDD-2014-0001GHHLMSSZ #approach #probability: Knowledge vault: a web-scale approach to probabilistic knowledge fusion (XD, EG, GH, WH, NL, KM, TS, SS, WZ), pp. 601–610.
KDD-2014-WangZQZ #using: Improving the modified nyström method using spectral shifting (SW, CZ, HQ, ZZ), pp. 611–620.
KDD-2014-ChenCW #classification #performance #scalability: Fast flux discriminant for large-scale sparse nonlinear classification (WC, YC, KQW), pp. 621–630.
KDD-2014-TangL #probability #scalability: Scalable histograms on large probabilistic data (MT, FL), pp. 631–640.
KDD-2014-ChierichettiDK #clustering #correlation #pipes and filters: Correlation clustering in MapReduce (FC, NND, RK), pp. 641–650.
KDD-2014-AnagnostopoulosT #big data #scalability: Scaling out big data missing value imputations: pythia vs. godzilla (CA, PT), pp. 651–660.
KDD-2014-LiZCS #optimisation #performance #probability: Efficient mini-batch training for stochastic optimization (ML, TZ, YC, AJS), pp. 661–670.
KDD-2014-BadanidiyuruMKK #on the fly #streaming #summary: Streaming submodular maximization: massive data summarization on the fly (AB, BM, AK, AK), pp. 671–680.
KDD-2014-Cohen #distance #performance #query: Distance queries from sampled data: accurate and efficient (EC), pp. 681–690.
KDD-2014-LiWW #matrix #rank #testing: Improved testing of low rank matrices (YL, ZW, DPW), pp. 691–700.
KDD-2014-PerozziAS #learning #named #online #social: DeepWalk: online learning of social representations (BP, RAR, SS), pp. 701–710.
KDD-2014-SarawagiC #modelling #query #web: Open-domain quantity queries on web tables: annotation, response, and consensus models (SS, SC), pp. 711–720.
KDD-2014-WuZTH0 #crowdsourcing #modelling #personalisation #topic #using #video: Crowdsourced time-sync video tagging using temporal and personalized topic modeling (BW, EZ, BT, AH, QY), pp. 721–730.
KDD-2014-LiDDCZ #identification #process: Identifying and labeling search tasks via query-based hawkes processes (LL, HD, AD, YC, HZ), pp. 731–740.
KDD-2014-PolozovG #automation #named #web: LaSEWeb: automating search strategies over semi-structured web data (OP, SG), pp. 741–750.
KDD-2014-LiangRR #learning #personalisation: Personalized search result diversification via structured learning (SL, ZR, MdR), pp. 751–760.
KDD-2014-GongZFY #learning #multi #performance: Efficient multi-task feature learning with calibration (PG, JZ, WF, JY), pp. 761–770.
KDD-2014-ZhouT #graph #multi: Multi-task copula by sparse graph regression (TZ, DT), pp. 771–780.
KDD-2014-ZhouC #adaptation #documentation #learning #rank: Unifying learning to rank and domain adaptation: enabling cross-task document scoring (MZ, KCCC), pp. 781–790.
KDD-2014-WeiSZL0 #scalability: Scalable heterogeneous translated hashing (YW, YS, YZ, BL, QY), pp. 791–800.
KDD-2014-LiL #quality #recommendation: Matching users and items across domains to improve the recommendation quality (CYL, SDL), pp. 801–810.
KDD-2014-LuIBL #recommendation #social: Optimal recommendations under attraction, aversion, and social influence (WL, SI, SB, LVSL), pp. 811–820.
KDD-2014-RenLYKGWH #clustering #effectiveness #named #recommendation: ClusCite: effective citation recommendation by information network-based clustering (XR, JL, XY, UK, QG, LW, JH), pp. 821–830.
KDD-2014-LianZXSCR #matrix #modelling #named #recommendation: GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation (DL, CZ, XX, GS, EC, YR), pp. 831–840.
KDD-2014-GunnemannGF #detection #evolution #probability #rating #robust: Detecting anomalies in dynamic rating data: a robust probabilistic model for rating evolution (SG, NG, CF), pp. 841–850.
KDD-2014-XuL #behaviour #learning #problem: Product selection problem: improve market share by learning consumer behavior (SX, JCSL), pp. 851–860.
KDD-2014-TongCC #named #performance #topic: TCS: efficient topic discovery over crowd-oriented service data (YT, CCC, LC), pp. 861–870.
KDD-2014-SchubertWK #detection #named #scalability #topic: SigniTrend: scalable detection of emerging topics in textual streams by hashed significance thresholds (ES, MW, HPK), pp. 871–880.
KDD-2014-BuntineM #modelling #parametricity #topic: Experiments with non-parametric topic models (WLB, SM), pp. 881–890.
KDD-2014-LiARS #complexity #modelling #topic: Reducing the sampling complexity of topic models (AQL, AA, SR, AJS), pp. 891–900.
KDD-2014-TsytsarauPC #social #social media: Dynamics of news events and social media reaction (MT, TP, MC), pp. 901–910.
KDD-2014-XiaoCT #network: Differentially private network data release via structural inference (QX, RC, KLT), pp. 911–920.
KDD-2014-LuM #difference #estimation #exponential #graph #privacy #random: Exponential random graph estimation under differential privacy (WL, GM), pp. 921–930.
KDD-2014-LeeC: Top-k frequent itemsets via differentially private FP-trees (JL, CWC), pp. 931–940.
KDD-2014-JiangCBFY #behaviour #graph #named #scalability: CatchSync: catching synchronized behavior in large directed graphs (MJ, PC, AB, CF, SY), pp. 941–950.
KDD-2014-ZhuXGC #mobile #privacy #recommendation #security: Mobile app recommendations with security and privacy awareness (HZ, HX, YG, EC), pp. 951–960.
KDD-2014-FangP #algorithm #linear #performance: Fast DTT: a near linear algorithm for decomposing a tensor into factor tensors (XF, RP), pp. 967–976.
KDD-2014-NieWH #adaptation #clustering: Clustering and projected clustering with adaptive neighbors (FN, XW, HH), pp. 977–986.
KDD-2014-ChenC #incremental #named #rank #set: LWI-SVD: low-rank, windowed, incremental singular value decompositions on time-evolving data sets (XC, KSC), pp. 987–996.
KDD-2014-PapailiopoulosKB: Provable deterministic leverage score sampling (DSP, ATK, CB), pp. 997–1006.
KDD-2014-LeL #representation #semantics #visualisation: Semantic visualization for spherical representation (TMVL, HWL), pp. 1007–1016.
KDD-2014-AgrawalGT #education #student: Grouping students in educational settings (RA, BG, ET), pp. 1017–1026.
KDD-2014-ShangZTCY: Inferring gas consumption and pollution emission of vehicles throughout a city (JS, YZ, WT, EC, YY), pp. 1027–1036.
KDD-2014-RamanJ: Methods for ordinal peer grading (KR, TJ), pp. 1037–1046.
KDD-2014-FuXGYZZ #clustering #dependence #ranking: Exploiting geographic dependencies for real estate appraisal: a mutual perspective of ranking and clustering (YF, HX, YG, ZY, YZ, ZHZ), pp. 1047–1056.
KDD-2014-ZongWSSCHY #mining #scalability #towards: Towards scalable critical alert mining (BZ, YW, JS, AKS, HÇ, JH, XY), pp. 1057–1066.
KDD-2014-Cao0J #elicitation #online: From labor to trader: opinion elicitation via online crowds as a market (CCC, LC, HVJ), pp. 1067–1076.
KDD-2014-ZhangYW #realtime: Optimal real-time bidding for display advertising (WZ, SY, JW), pp. 1077–1086.
KDD-2014-WangWW: Quantifying herding effects in crowd wisdom (TW, DW, FW), pp. 1087–1096.
KDD-2014-Chapelle #feedback #modelling: Modeling delayed feedback in display advertising (OC), pp. 1097–1105.
KDD-2014-FangT #linear: Networked bandits with disjoint linear payoffs (MF, DT), pp. 1106–1115.
KDD-2014-Chen0 #big data #documentation #mining #topic: Mining topics in documents: standing on the shoulders of big data (ZC, BL), pp. 1116–1125.
KDD-2014-ChenC14a #spreadsheet: Integrating spreadsheet data via accurate and low-effort extraction (ZC, MJC), pp. 1126–1135.
KDD-2014-SudhofEMP #sentiment #social: Sentiment expression conditioned by affective transitions and social forces (MS, AGE, ALM, CP), pp. 1136–1145.
KDD-2014-LiLH #profiling: Entity profiling with varying source reliabilities (FL, MLL, WH), pp. 1146–1155.
KDD-2014-FaderZE #knowledge base: Open question answering over curated and extracted knowledge bases (AF, LZ, OE), pp. 1156–1165.
KDD-2014-ChenN #detection #graph #parametricity #social #social media #statistics: Non-parametric scan statistics for event detection and forecasting in heterogeneous social media graphs (FC, DBN), pp. 1166–1175.
KDD-2014-RozenshteinAGT #detection #network #process: Event detection in activity networks (PR, AA, AG, NT), pp. 1176–1185.
KDD-2014-JiangCWXZY #analysis #behaviour #flexibility #multi #named: FEMA: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery (MJ, PC, FW, XX, WZ, SY), pp. 1186–1195.
KDD-2014-GolshanLT #clustering: Profit-maximizing cluster hires (BG, TL, ET), pp. 1196–1205.
KDD-2014-LiLBLY #on the #social: On social event organization (KL, WL, SB, LVSL, CY), pp. 1206–1215.
KDD-2014-EmbarPB #framework #network: A bayesian framework for estimating properties of network diffusions (VRE, RKP, IB), pp. 1216–1225.
KDD-2014-KhalilDS #network #optimisation #scalability: Scalable diffusion-aware optimization of network topology (EBK, BND, LS), pp. 1226–1235.
KDD-2014-KurashimaITS #network #probability #visualisation: Probabilistic latent network visualization: inferring and embedding diffusion networks (TK, TI, NT, HS), pp. 1236–1245.
KDD-2014-WangHYL #multi #named #network: MMRate: inferring multi-aspect diffusion networks with multi-pattern cascades (SW, XH, PSY, ZL), pp. 1246–1255.
KDD-2014-HeK: Stability of influence maximization (XH, DK), pp. 1256–1265.
KDD-2014-BarbieriBM #predict #why: Who to follow and why: link prediction with explanations (NB, FB, GM), pp. 1266–1275.
KDD-2014-ZhouL #classification #mining #multi #network: Activity-edge centric multi-label classification for mining heterogeneous information networks (YZ, LL), pp. 1276–1285.
KDD-2014-ZhangYZ #multi #predict: Meta-path based multi-network collective link prediction (JZ, PSY, ZHZ), pp. 1286–1295.
KDD-2014-PurohitPKZS #network #performance #scalability: Fast influence-based coarsening for large networks (MP, BAP, CK, YZ, VSS), pp. 1296–1305.
KDD-2014-ZhangCSWZ #network #probability #set #social: Minimizing seed set selection with probabilistic coverage guarantee in a social network (PZ, WC, XS, YW, JZ), pp. 1306–1315.
KDD-2014-BonchiGKV #composition #graph #nondeterminism: Core decomposition of uncertain graphs (FB, FG, AK, YV), pp. 1316–1325.
KDD-2014-BensonRS #learning #multi #network #scalability: Learning multifractal structure in large networks (ARB, CR, SS), pp. 1326–1335.
KDD-2014-LiuZXJ0 #categorisation #visualisation: Temporal skeletonization on sequential data: patterns, categorization, and visualization (CL, KZ, HX, GJ, QY), pp. 1336–1345.
KDD-2014-PerozziASM #clustering #detection #graph #scalability: Focused clustering and outlier detection in large attributed graphs (BP, LA, PIS, EM), pp. 1346–1355.
KDD-2014-NiTFZ #network #ranking: Inside the atoms: ranking on a network of networks (JN, HT, WF, XZ), pp. 1356–1365.
KDD-2014-KloumannK #community #identification #set: Community membership identification from small seed sets (IMK, JMK), pp. 1366–1375.
KDD-2014-DuanSLL #community #correlation #detection #graph: Community detection in graphs through correlation (LD, WNS, YL, HL), pp. 1376–1385.
KDD-2014-KlosterG #community #detection #kernel: Heat kernel based community detection (KK, DFG), pp. 1386–1395.
KDD-2014-00020GMB #community #network #on the: On the permanence of vertices in network communities (TC, SS, NG, AM, SB), pp. 1396–1405.
KDD-2014-GhoshTLY #community #difference #network: The interplay between dynamics and networks: centrality, communities, and cheeger inequality (RG, SHT, KL, XY), pp. 1406–1415.
KDD-2014-Yoshida #adaptation #algorithm #linear #sketching #using: Almost linear-time algorithms for adaptive betweenness centrality using hypergraph sketches (YY), pp. 1416–1425.
KDD-2014-MaeharaKK #performance: Efficient SimRank computation via linearizationPublication of this article pending inquiry (TM, MK, KiK), pp. 1426–1435.
KDD-2014-LofgrenBGC #estimation #graph #named #personalisation #rank #scalability: FAST-PPR: scaling personalized pagerank estimation for large graphs (PL, SB, AG, SC), pp. 1436–1445.
KDD-2014-AhmedDNK #framework #graph: Graph sample and hold: a framework for big-graph analytics (NKA, NGD, JN, RRK), pp. 1446–1455.
KDD-2014-BourseLV #graph: Balanced graph edge partition (FB, ML, MV), pp. 1456–1465.
KDD-2014-SintosT #network #social #using: Using strong triadic closure to characterize ties in social networks (SS, PT), pp. 1466–1475.
KDD-2014-AkibaMK #analysis #network: Network structural analysis via core-tree-decomposition Publication of this article pending inquiry (TA, TM, KiK), pp. 1476–1485.
KDD-2014-SunSTLKTY #behaviour #collaboration #network: Analyzing expert behaviors in collaborative networks (HS, MS, ST, YL, LMK, ST, XY), pp. 1486–1495.
KDD-2014-YaoTXL #predict: Predicting long-term impact of CQA posts: a comprehensive viewpoint (YY, HT, FX, JL), pp. 1496–1505.
KDD-2014-BiKWC #resource management #topic: Who are experts specializing in landscape photography?: analyzing topic-specific authority on content sharing services (BB, BK, CW, JC), pp. 1506–1515.
KDD-2014-Subramaniam #e-commerce #personalisation: Frontiers in E-commerce personalization (SS), p. 1516.
KDD-2014-PoaloH #case study #modelling #predict: Predictive modeling in practice: a case study from sprint (TDP, JH), p. 1517.
KDD-2014-Shah #health: Medicine in the age of electronic health records (NS), p. 1518.
KDD-2014-Rudin #algorithm #machine learning: Algorithms for interpretable machine learning (CR), p. 1519.
KDD-2014-Conway #lens #social: Data science through the lens of social science (DC), p. 1520.
KDD-2014-Waltzman #security: Information environment security (RW), p. 1521.
KDD-2014-Eagle #big data #social: Big data for social good (NE), p. 1522.
KDD-2014-Munro: Bringing data science to the speakers of every language (RM), p. 1523.
KDD-2014-TamersoyRC #detection #graph #mining #scalability: Guilt by association: large scale malware detection by mining file-relation graphs (AT, KAR, DHC), pp. 1524–1533.
KDD-2014-KannanBRFLVAKKUWZ #image #mining #web: Mining text snippets for images on the web (AK, SB, KR, JF, DL, LV, RA, AK, QK, MU, XJW, LZ), pp. 1534–1543.
KDD-2014-TamhaneISDA #analysis #predict #risk management #student: Predicting student risks through longitudinal analysis (AT, SI, BS, MD, JA), pp. 1544–1552.
KDD-2014-WangX #metric #novel: Novel geospatial interpolation analytics for general meteorological measurements (BW, JX), pp. 1553–1562.
KDD-2014-AbelsonVS: Targeting direct cash transfers to the extremely poor (BA, KRV, JS), pp. 1563–1572.
KDD-2014-DalessandroCRPWP #learning #online #scalability: Scalable hands-free transfer learning for online advertising (BD, DC, TR, CP, MHW, FJP), pp. 1573–1582.
KDD-2014-LuoLLFDZW #correlation: Correlating events with time series for incident diagnosis (CL, JGL, QL, QF, RD, DZ, ZW), pp. 1583–1592.
KDD-2014-LiuGXXGP #modelling #probability #process #workflow: Proactive workflow modeling by stochastic processes with application to healthcare operation and management (CL, YG, HX, KX, WG, MP), pp. 1593–1602.
KDD-2014-AgarwalCGHHIKMSSZ #process #ranking: Activity ranking in LinkedIn feed (DA, BCC, RG, JH, QH, AI, SK, YM, PS, AS, LZ), pp. 1603–1612.
KDD-2014-AgarwalGWY #online: Budget pacing for targeted online advertisements at LinkedIn (DA, SG, KW, SY), pp. 1613–1619.
KDD-2014-RadosavljevikP #interface #modelling #predict #scalability: Large scale predictive modeling for micro-simulation of 3G air interface load (DR, PvdP), pp. 1620–1629.
KDD-2014-LinRRYRF #clustering #enterprise #scalability: Unveiling clusters of events for alert and incident management in large-scale enterprise it (DL, RR, VR, JY, RR, JF), pp. 1630–1639.
KDD-2014-HuHA #e-commerce #modelling #scalability #social: Style in the long tail: discovering unique interests with latent variable models in large scale social E-commerce (DJH, RH, JA), pp. 1640–1649.
KDD-2014-FortunySMMPM #detection: Corporate residence fraud detection (EJdF, MS, JM, BM, FJP, DM), pp. 1650–1659.
KDD-2014-JinKSDGCPR #community #geometry #modelling #network #social #using: Modeling mass protest adoption in social network communities using geometric brownian motion (FJ, RPK, NS, ERD, SG, FC, BAP, NR), pp. 1660–1669.
KDD-2014-Melli #automation #parsing #semantics: Shallow semantic parsing of product offering titles (for better automatic hyperlink insertion) (GM), pp. 1670–1678.
KDD-2014-AcsC #case study #privacy: A case study: privacy preserving release of spatio-temporal density in paris (GÁ, CC), pp. 1679–1688.
KDD-2014-HerodotouDBOF #locality #network #realtime #scalability: Scalable near real-time failure localization of data center networks (HH, BD, SB, GO, PF), pp. 1689–1698.
KDD-2014-XuWCGSKDL #data mining #delivery #mining #network #social: Improving management of aquatic invasions by integrating shipping network, ecological, and environmental data: data mining for social good (JX, TLW, NVC, EKG, KS, RPK, JMD, DML), pp. 1699–1708.
KDD-2014-KateCPK #mining #named #safety: FoodSIS: a text mining system to improve the state of food safety in singapore (KK, SC, AP, JK), pp. 1709–1718.
KDD-2014-KapoorSSY #approach #predict: A hazard based approach to user return time prediction (KK, MS, JS, TY), pp. 1719–1728.
KDD-2014-VarshneyCF0FM #enterprise #predict: Predicting employee expertise for talent management in the enterprise (KRV, VC, SWF, JW, DF, AM), pp. 1729–1738.
KDD-2014-ZhengZLJXLSZLTLDLW #data mining #mining #optimisation #process: Applying data mining techniques to address critical process optimization needs in advanced manufacturing (LZ, CZ, LL, YJ, WX, JL, CS, WZ, HL, LT, TL, BD, ML, PW), pp. 1739–1748.
KDD-2014-AvvenutiCMMT #realtime: EARS (earthquake alert and report system): a real time decision support system for earthquake crisis management (MA, SC, AM, CM, MT), pp. 1749–1758.
KDD-2014-DerSSV #online #profiling: Knock it off: profiling the online storefronts of counterfeit merchandise (MFD, LKS, SS, GMV), pp. 1759–1768.
KDD-2014-BenderskyPHJL #retrieval #scalability #video: Up next: retrieval methods for large scale related video suggestion (MB, LGP, JJH, VJ, DL), pp. 1769–1778.
KDD-2014-XueWCG #identification: Identifying tourists from public transport commuters (MX, HW, WC, WSN, GHG), pp. 1779–1788.
KDD-2014-TayebiEGB #embedded #learning #predict #using: Spatially embedded co-offence prediction using supervised learning (MAT, ME, UG, PLB), pp. 1789–1798.
KDD-2014-RamakrishnanBMSKSWCVKKMZHCLHSTGKDAZFSFAGM #open source #using: “Beating the news” with EMBERS: forecasting civil unrest using open source indicators (NR, PB, SM, NS, RPK, PS, WW, JC, AV, GK, CJK, AM, LZ, TH, FC, CTL, BH, AS, KT, LG, GK, AD, CA, IZ, JF, KMS, YF, JA, DG, DM), pp. 1799–1808.
KDD-2014-SpasojevicYRB #multi #named #network #scalability #social #topic: LASTA: large scale topic assignment on multiple social networks (NS, JY, AR, PB), pp. 1809–1818.
KDD-2014-ZoeterDCA #algorithm #deployment: New algorithms for parking demand management and a city-scale deployment (OZ, CRD, SC, JMA), pp. 1819–1828.
KDD-2014-ShakarianSPB #network #social #source code: Reducing gang violence through network influence based targeting of social programs (PS, JS, WP, JB), pp. 1829–1836.
KDD-2014-LeeLTS #modelling #recommendation #scalability: Modeling impression discounting in large-scale recommender systems (PL, LVSL, MT, SS), pp. 1837–1846.
KDD-2014-BeckmanBCLMS #named #pervasive #web: ISIS: a networked-epidemiology based pervasive web app for infectious disease pandemic planning and response (RJB, KRB, JC, BL, MVM, PES), pp. 1847–1856.
KDD-2014-KohaviDLX #web: Seven rules of thumb for web site experimenters (RK, AD, RL, YX), pp. 1857–1866.
KDD-2014-SiposFMW #maintenance #predict: Log-based predictive maintenance (RS, DF, FM, ZW), pp. 1867–1876.
KDD-2014-SpanglerWBNDHRPCMSKLLPLDCL #automation #generative #mining: Automated hypothesis generation based on mining scientific literature (WSS, ADW, BJB, MN, TD, PJH, SR, CRP, AC, JNM, IS, LK, AL, JJL, NP, AML, LAD, YC, OL), pp. 1877–1886.
KDD-2014-SrikantA #machine learning #programming #using: A system to grade computer programming skills using machine learning (SS, VA), pp. 1887–1896.
KDD-2014-YuanWCMS #empirical #optimisation #realtime: An empirical study of reserve price optimisation in real-time bidding (SY, JW, BC, PM, SS), pp. 1897–1906.
KDD-2014-YangKSG #modelling #scalability #topic #twitter: Large-scale high-precision topic modeling on twitter (SHY, AK, AS, PG), pp. 1907–1916.
KDD-2014-JagadeeshPBDS #image #recommendation #scalability #visual notation: Large scale visual recommendations from street fashion images (VJ, RP, AB, WD, NS), pp. 1925–1934.
KDD-2014-ZhaoGHJWL #microblog #recommendation #what: We know what you want to buy: a demographic-based system for product recommendation on microblogs (WXZ, YG, YH, HJ, YW, XL), pp. 1935–1944.
KDD-2014-XuLGBB #mining #modelling #similarity: Modeling professional similarity by mining professional career trajectories (YX, ZL, AG, AB, AB), pp. 1945–1954.
KDD-2014-TagamiHTOTT: Filling context-ad vocabulary gaps with click logs (YT, TH, YT, SO, KT, AT), pp. 1955–1964.
KDD-2014-RamakrishnanW #privacy #question #social: Does social good justify risking personal privacy? (RR, GIW), p. 1965.
KDD-2014-Bengio #learning #scalability: Scaling up deep learning (YB), p. 1966.
KDD-2014-BordesG #graph #mining #tutorial: Constructing and mining web-scale knowledge graphs: KDD 2014 tutorial (AB, EG), p. 1967.
KDD-2014-HanWE #mining #topic: Bringing structure to text: mining phrases, entities, topics, and hierarchies (JH, CW, AEK), p. 1968.
KDD-2014-MaratheV: Computational epidemiology (MVM, AKSV), p. 1969.
KDD-2014-FengGBEHM #big data #database #experience #in memory #query: Management and analytic of biomedical big data with cloud-based in-memory database and dynamic querying: a hands-on experience with real-world data (MF, MG, TB, JE, IH, RM), p. 1970.
KDD-2014-AmatriainM #problem #recommendation #tutorial: The recommender problem revisited: morning tutorial (XA, BM), p. 1971.
KDD-2014-BonchiGL #clustering #correlation #theory and practice: Correlation clustering: from theory to practice (FB, DGS, EL), p. 1972.
KDD-2014-Salakhutdinov #learning: Deep learning (RS), p. 1973.
KDD-2014-ZhuSY #analysis #mining #network #social: Network mining and analysis for social applications (FZ, HS, XY), p. 1974.
KDD-2014-CormodeD #big data #tutorial: Sampling for big data: a tutorial (GC, NGD), p. 1975.
KDD-2014-HamalainenW #statistics: Statistically sound pattern discovery (WH, GIW), p. 1976.
KDD-2014-TangTL #future of #recommendation #social #social media: Recommendation in social media: recent advances and new frontiers (JT, JT, HL), p. 1977.

Sofus A. Macskassy, Claudia Perlich, Jure Leskovec, Wei Wang, Rayid GhaniProceedings of the 20th International Conference on Knowledge Discovery and Data MiningKDD, 2014.

Contents (220 items)

Sofus A. Macskassy, Claudia Perlich, Jure Leskovec, Wei Wang, Rayid Ghani
Proceedings of the 20th International Conference on Knowledge Discovery and Data Mining
KDD, 2014.