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

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@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, , 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 (, 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.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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