BibSLEIGH — Proceedings of the 14th International Conference on Knowledge Discovery and Data Mining

Ying Li, Bing Liu, Sunita Sarawagi
Proceedings of the 14th International Conference on Knowledge Discovery and Data Mining
KDD, 2008.

KER

@proceedings{KDD-2008,
	address       = "Las Vegas, Nevada, USA",
	editor        = "Ying Li and Bing Liu and Sunita Sarawagi",
	isbn          = "978-1-60558-193-4",
	publisher     = "{ACM}",
	title         = "{Proceedings of the 14th International Conference on Knowledge Discovery and Data Mining}",
	year          = 2008,
}

Contents (134 items)

KDD-2008-EdelmanS #design #internet: Internet advertising and optimal auction design (BE, MS), p. 1.
KDD-2008-GraepelH #data analysis #modelling #online #scalability: Large scale data analysis and modelling in online services and advertising (TG, RH), p. 2.
KDD-2008-HastieFT #coordination: Regularization paths and coordinate descent (TH, JF, RT), p. 3.
KDD-2008-Malik #future of #image: The future of image search (JM), p. 4.
KDD-2008-Miletzki #overview #pattern matching #pattern recognition #recognition: Genesis of postal address reading, current state and future prospects: thirty years of pattern recognition on duty of postal services (UM), pp. 5–6.
KDD-2008-AnagnostopoulosKM #correlation #network #social: Influence and correlation in social networks (AA, RK, MM), pp. 7–15.
KDD-2008-BecchettiBCG #algorithm #graph #performance: Efficient semi-streaming algorithms for local triangle counting in massive graphs (LB, PB, CC, AG), pp. 16–24.
KDD-2008-BhattacharyaGJ #categorisation #documentation #identification: Structured entity identification and document categorization: two tasks with one joint model (IB, SG, SJ), pp. 25–33.
KDD-2008-BifetG #adaptation #data type #mining: Mining adaptively frequent closed unlabeled rooted trees in data streams (AB, RG), pp. 34–42.
KDD-2008-BilgicG #classification #effectiveness: Effective label acquisition for collective classification (MB, LG), pp. 43–51.
KDD-2008-BonchiCDG #composition #query #topic: Topical query decomposition (FB, CC, DD, AG), pp. 52–60.
KDD-2008-BoutsidisMD #analysis #component #feature model: Unsupervised feature selection for principal components analysis (CB, MWM, PD), pp. 61–69.
KDD-2008-BrickellS #cost analysis #privacy: The cost of privacy: destruction of data-mining utility in anonymized data publishing (JB, VS), pp. 70–78.
KDD-2008-ChakrabartiKP #generative #web: Generating succinct titles for web URLs (DC, RK, KP), pp. 79–87.
KDD-2008-ChakrabartiKSB #learning #ranking: Structured learning for non-smooth ranking losses (SC, RK, US, CB), pp. 88–96.
KDD-2008-ChangYM: Partitioned logistic regression for spam filtering (MWC, WtY, CM), pp. 97–105.
KDD-2008-ChenJCLWY #classification #kernel #learning: Learning subspace kernels for classification (JC, SJ, BC, QL, MW, JY), pp. 106–114.
KDD-2008-ChenZC #collaboration #community #personalisation #recommendation: Combinational collaborative filtering for personalized community recommendation (WC, DZ, EYC), pp. 115–123.
KDD-2008-ChenW #classification #feature model #metric #named #performance #problem: FAST: a roc-based feature selection metric for small samples and imbalanced data classification problems (XwC, MW), pp. 124–132.
KDD-2008-ChengT #learning: Semi-supervised learning with data calibration for long-term time series forecasting (HC, PNT), pp. 133–141.
KDD-2008-ChoRC #data mining #identification #mining #network: Reconstructing chemical reaction networks: data mining meets system identification (YJC, NR, YC), pp. 142–150.
KDD-2008-Christen #automation #classification #nearest neighbour #using: Automatic record linkage using seeded nearest neighbour and support vector machine classification (PC), pp. 151–159.
KDD-2008-CrandallCHKS #community #feedback #online #similarity #social: Feedback effects between similarity and social influence in online communities (DJC, DC, DPH, JMK, SS), pp. 160–168.
KDD-2008-DasSN #category theory #dataset #detection: Anomaly pattern detection in categorical datasets (KD, JGS, DBN), pp. 169–176.
KDD-2008-SarmaGI #query #using: Bypass rates: reducing query abandonment using negative inferences (ADS, SG, SI), pp. 177–185.
KDD-2008-DasguptaKS: De-duping URLs via rewrite rules (AD, RK, AS), pp. 186–194.
KDD-2008-DavisD #learning #metric #problem: Structured metric learning for high dimensional problems (JVD, ISD), pp. 195–203.
KDD-2008-RaedtGN #constraints #mining #programming: Constraint programming for itemset mining (LDR, TG, SN), pp. 204–212.
KDD-2008-ElkanN #classification #learning: Learning classifiers from only positive and unlabeled data (CE, KN), pp. 213–220.
KDD-2008-EshghiR #locality #order #rank #statistics: Locality sensitive hash functions based on concomitant rank order statistics (KE, SR), pp. 221–229.
KDD-2008-FanZCGYHYV #mining #modelling: Direct mining of discriminative and essential frequent patterns via model-based search tree (WF, KZ, HC, JG, XY, JH, PSY, OV), pp. 230–238.
KDD-2008-FormanR #classification #file system #scalability: Scaling up text classification for large file systems (GF, SR), pp. 239–246.
KDD-2008-FujiwaraSY #identification #markov #modelling #named #performance: SPIRAL: efficient and exact model identification for hidden Markov models (YF, YS, MY), pp. 247–255.
KDD-2008-GallagherTEF #classification #network #using: Using ghost edges for classification in sparsely labeled networks (BG, HT, TER, CF), pp. 256–264.
KDD-2008-GantaKS #composition #privacy: Composition attacks and auxiliary information in data privacy (SRG, SPK, AS), pp. 265–273.
KDD-2008-GantiKV #categorisation #documentation #scalability: Entity categorization over large document collections (VG, ACK, RV), pp. 274–282.
KDD-2008-GaoFJH #information management #multi: Knowledge transfer via multiple model local structure mapping (JG, WF, JJ, JH), pp. 283–291.
KDD-2008-GarrigaJM #matrix: Banded structure in binary matrices (GCG, EJ, HM), pp. 292–300.
KDD-2008-GuptaFFSK #algorithm #approximate #evaluation #mining: Quantitative evaluation of approximate frequent pattern mining algorithms (RG, GF, BF, MS, VK), pp. 301–309.
KDD-2008-HallSM #dependence #using: Unsupervised deduplication using cross-field dependencies (RH, CAS, AM), pp. 310–317.
KDD-2008-HuYS #constraints #named #permutation #proximity: Permu-pattern: discovery of mutable permutation patterns with proximity constraint (MH, JY, WS), pp. 318–326.
KDD-2008-HuangDLL #clustering #equivalence #higher-order: Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering (HH, CHQD, DL, TL), pp. 327–335.
KDD-2008-HwangKRZ #graph #mining: Bridging centrality: graph mining from element level to group level (WH, TK, MR, AZ), pp. 336–344.
KDD-2008-HyvonenMT #matrix: Interpretable nonnegative matrix decompositions (SH, PM, ET), pp. 345–353.
KDD-2008-IfrimBW #categorisation #n-gram #performance: Fast logistic regression for text categorization with variable-length n-grams (GI, GHB, GW), pp. 354–362.
KDD-2008-IwataYU #documentation #probability #semantics #topic #visualisation: Probabilistic latent semantic visualization: topic model for visualizing documents (TI, TY, NU), pp. 363–371.
KDD-2008-JensenFTM #automation #design #identification: Automatic identification of quasi-experimental designs for discovering causal knowledge (DDJ, ASF, BJT, MEM), pp. 372–380.
KDD-2008-JiTYY #classification #multi: Extracting shared subspace for multi-label classification (SJ, LT, SY, JY), pp. 381–389.
KDD-2008-JiangPLCH #mining: Mining preferences from superior and inferior examples (BJ, JP, XL, DWC, JH), pp. 390–398.
KDD-2008-JinAXR #effectiveness #performance #summary: Effective and efficient itemset pattern summarization: regression-based approaches (RJ, MAA, YX, NR), pp. 399–407.
KDD-2008-KeerthiSCHL #linear #multi #scalability: A sequential dual method for large scale multi-class linear svms (SSK, SS, KWC, CJH, CJL), pp. 408–416.
KDD-2008-KiernanT #scalability #sequence #summary: Constructing comprehensive summaries of large event sequences (JK, ET), pp. 417–425.
KDD-2008-Koren #collaboration #multi: Factorization meets the neighborhood: a multifaceted collaborative filtering model (YK), pp. 426–434.
KDD-2008-KossinetsKW #communication #network #social: The structure of information pathways in a social communication network (GK, JMK, DJW), pp. 435–443.
KDD-2008-KriegelSZ #detection: Angle-based outlier detection in high-dimensional data (HPK, MS, AZ), pp. 444–452.
KDD-2008-LaxmanTW #generative #modelling #predict #sequence #using: Stream prediction using a generative model based on frequent episodes in event sequences (SL, VT, RWW), pp. 453–461.
KDD-2008-LeskovecBKT #evolution #network #social: Microscopic evolution of social networks (JL, LB, RK, AT), pp. 462–470.
KDD-2008-LiFGMF #learning #linear #named #parallel #performance: Cut-and-stitch: efficient parallel learning of linear dynamical systems on smps (LL, WF, FG, TCM, CF), pp. 471–479.
KDD-2008-LingD #learning #query: Active learning with direct query construction (CXL, JD), pp. 480–487.
KDD-2008-LingDXYY #learning: Spectral domain-transfer learning (XL, WD, GRX, QY, YY), pp. 488–496.
KDD-2008-LingMZS #mining #multi #topic: Mining multi-faceted overviews of arbitrary topics in a text collection (XL, QM, CZ, BRS), pp. 497–505.
KDD-2008-LozanoA #multi: Multi-class cost-sensitive boosting with p-norm loss functions (ACL, NA), pp. 506–514.
KDD-2008-MadaniH #learning #on the: On updates that constrain the features’ connections during learning (OM, JH), pp. 515–523.
KDD-2008-McGlohonAF #component #generative #graph: Weighted graphs and disconnected components: patterns and a generator (MM, LA, CF), pp. 524–532.
KDD-2008-MoiseS #approach #clustering #novel #statistics: Finding non-redundant, statistically significant regions in high dimensional data: a novel approach to projected and subspace clustering (GM, JS), pp. 533–541.
KDD-2008-NallapatiAXC #modelling #topic: Joint latent topic models for text and citations (RN, AA, EPX, WWC), pp. 542–550.
KDD-2008-NguyenC #classification: Classification with partial labels (NN, RC), pp. 551–559.
KDD-2008-PedreschiRT #data mining #mining: Discrimination-aware data mining (DP, SR, FT), pp. 560–568.
KDD-2008-PorteousNIASW #performance: Fast collapsed gibbs sampling for latent dirichlet allocation (IP, DN, ATI, AUA, PS, MW), pp. 569–577.
KDD-2008-SaigoKT #graph #mining: Partial least squares regression for graph mining (HS, NK, KT), pp. 578–586.
KDD-2008-SatoYN #graph #information management #parametricity #semantics #using #word: Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model (IS, MY, HN), pp. 587–595.
KDD-2008-SeshadriMSBFL #graph #mobile: Mobile call graphs: beyond power-law and lognormal distributions (MS, SM, AS, JB, CF, JL), pp. 596–604.
KDD-2008-ShaoCTYA #mining #performance #sequence: Efficient ticket routing by resolution sequence mining (QS, YC, ST, XY, NA), pp. 605–613.
KDD-2008-ShengPI #data mining #mining #multi #quality #using: Get another label? improving data quality and data mining using multiple, noisy labelers (VSS, FJP, PGI), pp. 614–622.
KDD-2008-ShiehK #mining #named: iSAX: indexing and mining terabyte sized time series (JS, EJK), pp. 623–631.
KDD-2008-SiaCCT #performance #query: Efficient computation of personal aggregate queries on blogs (KCS, JC, YC, BLT), pp. 632–640.
KDD-2008-SimonKZ #agile #approach #reliability #scalability #set: Semi-supervised approach to rapid and reliable labeling of large data sets (GJS, VK, ZLZ), pp. 641–649.
KDD-2008-SinghG #learning #matrix #relational: Relational learning via collective matrix factorization (APS, GJG), pp. 650–658.
KDD-2008-SongJRG #linear: A bayesian mixture model with linear regression mixing proportions (XS, CJ, SR, JG), pp. 659–667.
KDD-2008-SunJY #classification #learning #multi: Hypergraph spectral learning for multi-label classification (LS, SJ, JY), pp. 668–676.
KDD-2008-TangLZN #community #evolution #multi #network: Community evolution in dynamic multi-mode networks (LT, HL, JZ, ZN), pp. 677–685.
KDD-2008-TongPSYF #graph #mining #named #performance #scalability: Colibri: fast mining of large static and dynamic graphs (HT, SP, JS, PSY, CF), pp. 686–694.
KDD-2008-MeloAL #behaviour #metric #network #predict #question: Can complex network metrics predict the behavior of NBA teams? (POSVdM, VAFA, AAFL), pp. 695–703.
KDD-2008-WalkerR #clustering #documentation #modelling: Model-based document clustering with a collapsed gibbs sampler (DDW, EKR), pp. 704–712.
KDD-2008-WangD #classification #kernel #semantics #using #wiki: Building semantic kernels for text classification using wikipedia (PW, CD), pp. 713–721.
KDD-2008-WickRSM #approach: A unified approach for schema matching, coreference and canonicalization (MLW, KR, KS, AM), pp. 722–730.
KDD-2008-WuHW #information management #wiki: Information extraction from Wikipedia: moving down the long tail (FW, RH, DSW), pp. 731–739.
KDD-2008-WuXC #clustering #incremental #learning #named: SAIL: summation-based incremental learning for information-theoretic clustering (JW, HX, JC), pp. 740–748.
KDD-2008-WuLCC #learning #symmetry: Asymmetric support vector machines: low false-positive learning under the user tolerance (SHW, KPL, CMC, MSC), pp. 749–757.
KDD-2008-XiangJFD #database #summary #transaction: Succinct summarization of transactional databases: an overlapped hyperrectangle scheme (YX, RJ, DF, FFD), pp. 758–766.
KDD-2008-XuWFY #database #transaction: Anonymizing transaction databases for publication (YX, KW, AWCF, PSY), pp. 767–775.
KDD-2008-YangZYW #detection: Local peculiarity factor and its application in outlier detection (JY, NZ, YY, JW), pp. 776–784.
KDD-2008-YenSMS #difference #metric #product line: A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances (LY, MS, AM, MS), pp. 785–793.
KDD-2008-YuJ #kernel #using: Training structural svms with kernels using sampled cuts (CNJY, TJ), pp. 794–802.
KDD-2008-YuDL #feature model: Stable feature selection via dense feature groups (LY, CHQD, SL), pp. 803–811.
KDD-2008-ZhangZS #categorisation #concept #data type #mining: Categorizing and mining concept drifting data streams (PZ, XZ, YS), pp. 812–820.
KDD-2008-ZhangZW #algorithm #named #performance: Fastanova: an efficient algorithm for genome-wide association study (XZ, FZ, WW), pp. 821–829.
KDD-2008-ZhaoWZ #algorithm #named #performance #virtual machine: Cuts3vm: a fast semi-supervised svm algorithm (BZ, FW, CZ), pp. 830–838.
KDD-2008-ZhaoWLYC #data flow #identification #multi #semistructured data: Identifying biologically relevant genes via multiple heterogeneous data sources (ZZ, JW, HL, JY, YC), pp. 839–847.
KDD-2008-ZhouX #correlation #perspective: Volatile correlation computation: a checkpoint view (WZ, HX), pp. 848–856.
KDD-2008-BoriahKSPK #case study #detection: Land cover change detection: a case study (SB, VK, MS, CP, SAK), pp. 857–865.
KDD-2008-BouguessaDW #exclamation #identification: Identifying authoritative actors in question-answering forums: the case of Yahoo! answers (MB, BD, SW), pp. 866–874.
KDD-2008-CaoJPHLCL #mining #query: Context-aware query suggestion by mining click-through and session data (HC, DJ, JP, QH, ZL, EC, HL), pp. 875–883.
KDD-2008-ChihP #persuasion #visualisation: The persuasive phase of visualization (CHC, DSPJ), pp. 884–892.
KDD-2008-ChowGS #detection #privacy #using: Detecting privacy leaks using corpus-based association rules (RC, PG, JS), pp. 893–901.
KDD-2008-CuiDSAJ #learning: Learning methods for lung tumor markerless gating in image-guided radiotherapy (YC, JGD, GCS, BMA, SBJ), pp. 902–910.
KDD-2008-GodboleR #analysis #automation #classification #industrial: Text classification, business intelligence, and interactivity: automating C-Sat analysis for services industry (SG, SR), pp. 911–919.
KDD-2008-GrossmanG #data mining #mining #performance #using: Data mining using high performance data clouds: experimental studies using sector and sphere (RLG, YG), pp. 920–927.
KDD-2008-HoT #automation #multi #using: Automated cyclone discovery and tracking using knowledge sharing in multiple heterogeneous satellite data (SSH, AT), pp. 928–936.
KDD-2008-KoenigsteinST #analysis #query #string #using: Spotting out emerging artists using geo-aware analysis of P2P query strings (NK, YS, TT), pp. 937–945.
KDD-2008-MelvilleRL #modelling #using #web: Customer targeting models using actively-selected web content (PM, SR, RDL), pp. 946–953.
KDD-2008-MorchenDFEWB #roadmap: Anticipating annotations and emerging trends in biomedical literature (FM, MD, DF, JE, BW, MB), pp. 954–962.
KDD-2008-NorenBHSE #roadmap: Temporal pattern discovery for trends and transient effects: its application to patient records (GNN, AB, JH, KS, IRE), pp. 963–971.
KDD-2008-ParikhS #detection #query #realtime #scalability: Scalable and near real-time burst detection from eCommerce queries (NP, NS), pp. 972–980.
KDD-2008-Sindhgatta #developer #identification #source code: Identifying domain expertise of developers from source code (RS), pp. 981–989.
KDD-2008-TangZYLZS #mining #named #network #social: ArnetMiner: extraction and mining of academic social networks (JT, JZ, LY, JL, LZ, ZS), pp. 990–998.
KDD-2008-ChavesBB #named #process #reliability: Tagmark: reliable estimations of RFID tags for business processes (LWFC, EB, KB), pp. 999–1007.
KDD-2008-WuK #comparison #online #scalability: Experimental comparison of scalable online ad serving (GW, BK), pp. 1008–1015.
KDD-2008-YangAPM #graph #interactive #tool support: A visual-analytic toolkit for dynamic interaction graphs (XY, SA, SP, SM), pp. 1016–1024.
KDD-2008-YeCWLZPBJLAR #data fusion #semistructured data: Heterogeneous data fusion for alzheimer’s disease study (JY, KC, TW, JL, ZZ, RP, MB, RJ, HL, GEA, ER), pp. 1025–1033.
KDD-2008-YuFRKRDL #analysis #privacy: Privacy-preserving cox regression for survival analysis (SY, GF, RR, SK, RBR, CDO, PL), pp. 1034–1042.
KDD-2008-ZengMLBM #analysis #predict #using: Using predictive analysis to improve invoice-to-cash collection (SZ, PM, CAL, IMBM, CM), pp. 1043–1050.
KDD-2008-ZhangSPN #documentation #learning #multi #topic #web: Learning from multi-topic web documents for contextual advertisement (YZ, ACS, JCP, MN), pp. 1051–1059.
KDD-2008-KumarTFJKLT #network #social: Social networks: looking ahead (RK, AT, CF, DJ, GK, JL, AT), p. 1060.
KDD-2008-BlockeelCFGPR #database #induction #mining #prototype: An inductive database prototype based on virtual mining views (HB, TC, ÉF, BG, AP, CR), pp. 1061–1064.
KDD-2008-Christen08a #open source #user interface #visual notation: Febrl -: an open source data cleaning, deduplication and record linkage system with a graphical user interface (PC), pp. 1065–1068.
KDD-2008-CaroCS #using: Using tagflake for condensing navigable tag hierarchies from tag clouds (LDC, KSC, MLS), pp. 1069–1072.
KDD-2008-GodboleR08a #analysis #automation #industrial: An integrated system for automatic customer satisfaction analysis in the services industry (SG, SR), pp. 1073–1076.
KDD-2008-HuaP #named: DiMaC: a disguised missing data cleaning tool (MH, JP), pp. 1077–1080.
KDD-2008-KotsifakosNVT #data mining #mining #modelling #named: Pattern-Miner: integrated management and mining over data mining models (EEK, IN, YV, YT), pp. 1081–1084.
KDD-2008-LiuYLWHD #named #online #overview: CRO: a system for online review structurization (HL, HY, WL, WW, JH, XD), pp. 1085–1088.
KDD-2008-MullerAKJS #clustering #interactive #named: Morpheus: interactive exploration of subspace clustering (EM, IA, RK, TJ, TS), pp. 1089–1092.
KDD-2008-NguyenPS #recommendation: A software system for buzz-based recommendations (HN, NP, NS), pp. 1093–1096.
KDD-2008-ZhengSSW #interactive #named: Pictor: an interactive system for importing data from a website (SZ, MRS, RS, JRW), pp. 1097–1100.

Ying Li, Bing Liu, Sunita SarawagiProceedings of the 14th International Conference on Knowledge Discovery and Data MiningKDD, 2008.

Contents (134 items)

Ying Li, Bing Liu, Sunita Sarawagi
Proceedings of the 14th International Conference on Knowledge Discovery and Data Mining
KDD, 2008.