BibSLEIGH — Proceedings of the 13th International Conference on Knowledge Discovery and Data Mining

Pavel Berkhin, Rich Caruana, Xindong Wu
Proceedings of the 13th International Conference on Knowledge Discovery and Data Mining
KDD, 2007.

KER

@proceedings{KDD-2007,
	address       = "San Jose, California, USA",
	editor        = "Pavel Berkhin and Rich Caruana and Xindong Wu",
	isbn          = "978-1-59593-609-7",
	publisher     = "{ACM}",
	title         = "{Proceedings of the 13th International Conference on Knowledge Discovery and Data Mining}",
	year          = 2007,
}

Contents (114 items)

KDD-2007-Anderson: Calculating latent demand in the long tail (CA), p. 1.
KDD-2007-Fayyad #internet #mining #web: From mining the web to inventing the new sciences underlying the internet (UMF), pp. 2–3.
KDD-2007-Kleinberg #challenge #mining #network #privacy #process #social: Challenges in mining social network data: processes, privacy, and paradoxes (JMK), pp. 4–5.
KDD-2007-AgarwalBGYKS #effectiveness #performance #summary: Efficient and effective explanation of change in hierarchical summaries (DA, DB, DG, NEY, FK, DS), pp. 6–15.
KDD-2007-AgarwalBCDJS #multi: Estimating rates of rare events at multiple resolutions (DA, AZB, DC, DD, VJ, MS), pp. 16–25.
KDD-2007-AgarwalM #modelling #predict #scalability: Predictive discrete latent factor models for large scale dyadic data (DA, SM), pp. 26–35.
KDD-2007-AggarwalY #classification #data type #on the #string: On string classification in data streams (CCA, PSY), pp. 36–45.
KDD-2007-AggarwalTWFZ #clustering #documentation #framework #named #xml: Xproj: a framework for projected structural clustering of xml documents (CCA, NT, JW, JF, MJZ), pp. 46–55.
KDD-2007-ArchakGI #exclamation #mining #power of: Show me the money!: deriving the pricing power of product features by mining consumer reviews (NA, AG, PGI), pp. 56–65.
KDD-2007-ArnoldLA #modelling #visual notation: Temporal causal modeling with graphical granger methods (AA, YL, NA), pp. 66–75.
KDD-2007-Baeza-YatesT #query #semantics: Extracting semantic relations from query logs (RABY, AT), pp. 76–85.
KDD-2007-BeckerA #concept #ranking #realtime #using: Real-time ranking with concept drift using expert advice (HB, MA), pp. 86–94.
KDD-2007-BellKV #modelling #multi #recommendation #scalability: Modeling relationships at multiple scales to improve accuracy of large recommender systems (RMB, YK, CV), pp. 95–104.
KDD-2007-BhagwatEM #clustering #corpus #documentation #scalability #similarity: Content-based document routing and index partitioning for scalable similarity-based searches in a large corpus (DB, KE, PM), pp. 105–112.
KDD-2007-ChaovalitwongseFS #classification #process: Support feature machine for classification of abnormal brain activity (WAC, YJF, RCS), pp. 113–122.
KDD-2007-ChenZYL #adaptation #clustering #distance #learning #metric: Nonlinear adaptive distance metric learning for clustering (JC, ZZ, JY, HL), pp. 123–132.
KDD-2007-ChenT #clustering #realtime: Density-based clustering for real-time stream data (YC, LT), pp. 133–142.
KDD-2007-ChewBKA #information retrieval #using: Cross-language information retrieval using PARAFAC2 (PAC, BWB, TGK, AA), pp. 143–152.
KDD-2007-ChiSZHT #clustering: Evolutionary spectral clustering by incorporating temporal smoothness (YC, XS, DZ, KH, BLT), pp. 153–162.
KDD-2007-ChiZSTT #analysis #community: Structural and temporal analysis of the blogosphere through community factorization (YC, SZ, XS, JT, BLT), pp. 163–172.
KDD-2007-ChopraTLCL #parametricity: Discovering the hidden structure of house prices with a non-parametric latent manifold model (SC, TT, JL, AC, YL), pp. 173–182.
KDD-2007-CotofreiS #data mining #mining #probability #process: Stochastic processes and temporal data mining (PC, KS), pp. 183–190.
KDD-2007-CrabtreeAG #aspect-oriented #automation #query: Exploiting underrepresented query aspects for automatic query expansion (DC, PA, XG), pp. 191–200.
KDD-2007-CulottaWHMM #adaptation #database #metric #similarity #using: Canonicalization of database records using adaptive similarity measures (AC, MLW, RH, MM, AM), pp. 201–209.
KDD-2007-DaiXYY #classification #clustering #documentation: Co-clustering based classification for out-of-domain documents (WD, GRX, QY, YY), pp. 210–219.
KDD-2007-DasS #category theory #dataset #detection: Detecting anomalous records in categorical datasets (KD, JGS), pp. 220–229.
KDD-2007-DasguptaDHJM #classification #feature model: Feature selection methods for text classification (AD, PD, BH, VJ, MWM), pp. 230–239.
KDD-2007-DavidsonRE #clustering #incremental #performance: Efficient incremental constrained clustering (ID, SSR, ME), pp. 240–249.
KDD-2007-DeodharG #clustering #framework #learning: A framework for simultaneous co-clustering and learning from complex data (MD, JG), pp. 250–259.
KDD-2007-DingSJL #framework #kernel #learning #recommendation #using: A learning framework using Green’s function and kernel regularization with application to recommender system (CHQD, RJ, TL, HDS), pp. 260–269.
KDD-2007-DouFRFMT #development #framework #mining #ontology: Development of NeuroElectroMagnetic ontologies(NEMO): a framework for mining brainwave ontologies (DD, GAF, JR, RMF, ADM, DMT), pp. 270–279.
KDD-2007-DruckPMZ #classification #generative #hybrid: Semi-supervised classification with hybrid generative/discriminative methods (GD, CP, AM, XZ), pp. 280–289.
KDD-2007-FriedlandJ #identification: Finding tribes: identifying close-knit individuals from employment patterns (LF, DJ), pp. 290–299.
KDD-2007-FungYLY: Time-dependent event hierarchy construction (GPCF, JXY, HL, PSY), pp. 300–309.
KDD-2007-GaoESCX #consistency #data mining #mining #problem #set: The minimum consistent subset cover problem and its applications in data mining (BJG, ME, JyC, OS, HX), pp. 310–319.
KDD-2007-GeEJD #clustering #constraints: Constraint-driven clustering (RG, ME, WJ, ID), pp. 320–329.
KDD-2007-GiannottiNPP #mining: Trajectory pattern mining (FG, MN, FP, DP), pp. 330–339.
KDD-2007-GuoZXF #data mining #database #learning #mining #multimodal: Enhanced max margin learning on multimodal data mining in a multimedia database (ZG, ZZ, EPX, CF), pp. 340–349.
KDD-2007-HeikinheimoSHMM #set: Finding low-entropy sets and trees from binary data (HH, JKS, EH, HM, TM), pp. 350–359.
KDD-2007-JanssensGM #analysis #clustering #hybrid #mining: Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis (FALJ, WG, BDM), pp. 360–369.
KDD-2007-JoLG #correlation #detection #graph #research #topic: Detecting research topics via the correlation between graphs and texts (YJ, CL, CLG), pp. 370–379.
KDD-2007-KarrasMS #summary: Exploiting duality in summarization with deterministic guarantees (PK, DS, NM), pp. 380–389.
KDD-2007-KeCN #correlation #database #graph: Correlation search in graph databases (YK, JC, WN), pp. 390–399.
KDD-2007-KolczY #classification: Raising the baseline for high-precision text classifiers (AK, WtY), pp. 400–409.
KDD-2007-LaxmanSU #algorithm #performance: A fast algorithm for finding frequent episodes in event streams (SL, PSS, KPU), pp. 410–419.
KDD-2007-LeskovecKGFVG #detection #effectiveness #network: Cost-effective outbreak detection in networks (JL, AK, CG, CF, JMV, NSG), pp. 420–429.
KDD-2007-LiLW #equivalence #mining #statistics: Mining statistically important equivalence classes and delta-discriminative emerging patterns (JL, GL, LW), pp. 430–439.
KDD-2007-Li #random #reduction: Very sparse stable random projections for dimension reduction in lalpha (0 <alpha<=2) norm (PL0), pp. 440–449.
KDD-2007-LiuJJ #clustering #constraints #named: BoostCluster: boosting clustering by pairwise constraints (YL, RJ, AKJ), pp. 450–459.
KDD-2007-LoKL #mining #performance #specification: Efficient mining of iterative patterns for software specification discovery (DL, SCK, CL), pp. 460–469.
KDD-2007-LongZY #clustering #framework #probability #relational: A probabilistic framework for relational clustering (BL, Z(Z, PSY), pp. 470–479.
KDD-2007-MannilaT: Nestedness and segmented nestedness (HM, ET), pp. 480–489.
KDD-2007-MeiSZ #automation #modelling #multi #topic: Automatic labeling of multinomial topic models (QM, XS, CZ), pp. 490–499.
KDD-2007-MimnoM #modelling: Expertise modeling for matching papers with reviewers (DMM, AM), pp. 500–509.
KDD-2007-MoserGE #analysis #clustering #specification: Joint cluster analysis of attribute and relationship data withouta-priori specification of the number of clusters (FM, RG, ME), pp. 510–519.
KDD-2007-NallapatiDLU #multi #topic: Multiscale topic tomography (RN, SD, JDL, KU), pp. 520–529.
KDD-2007-NijssenF #mining: Mining optimal decision trees from itemset lattices (SN, ÉF), pp. 530–539.
KDD-2007-PandeySGGK #case study #interactive #network #predict: Association analysis-based transformations for protein interaction networks: a function prediction case study (GP, MS, RG, TG, VK), pp. 540–549.
KDD-2007-ParkP #collaboration #ranking: Applying collaborative filtering techniques to movie search for better ranking and browsing (STP, DMP), pp. 550–559.
KDD-2007-PonCBC #multi #topic: Tracking multiple topics for finding interesting articles (RKP, AFC, DB, TC), pp. 560–569.
KDD-2007-RadlinskiJ #learning #ranking: Active exploration for learning rankings from clickthrough data (FR, TJ), pp. 570–579.
KDD-2007-Sandler #analysis #modelling #probability: Hierarchical mixture models: a probabilistic analysis (MS), pp. 580–589.
KDD-2007-SatoN #documentation #information management #multi #parametricity #topic #using: Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior (IS, HN), pp. 590–598.
KDD-2007-Schickel-ZuberF #clustering #learning #recommendation #using: Using hierarchical clustering for learning theontologies used in recommendation systems (VSZ, BF), pp. 599–608.
KDD-2007-Sculley #feedback #learning: Practical learning from one-sided feedback (DS), pp. 609–618.
KDD-2007-ShaparenkoJ #database #documentation: Information genealogy: uncovering the flow of ideas in non-hyperlinked document databases (BS, TJ), pp. 619–628.
KDD-2007-ShehataKK #categorisation #concept: A concept-based model for enhancing text categorization (SS, FK, MK), pp. 629–637.
KDD-2007-ShengL #learning: Partial example acquisition in cost-sensitive learning (VSS, CXL), pp. 638–646.
KDD-2007-ShigaTM #approach #clustering #composition #network: A spectral clustering approach to optimally combining numericalvectors with a modular network (MS, IT, HM), pp. 647–656.
KDD-2007-SmithE #bias #classification #generative #robust: Making generative classifiers robust to selection bias (ATS, CE), pp. 657–666.
KDD-2007-SongWJR #detection #multi #statistics: Statistical change detection for multi-dimensional data (XS, MW, CMJ, SR), pp. 667–676.
KDD-2007-SrihariXS #documentation #generative #using: Use of ranked cross document evidence trails for hypothesis generation (RKS, LX, TS), pp. 677–686.
KDD-2007-SunFPY #graph #mining #named #scalability: GraphScope: parameter-free mining of large time-evolving graphs (JS, CF, SP, PSY), pp. 687–696.
KDD-2007-TandonC #detection #network #validation: Weighting versus pruning in rule validation for detecting network and host anomalies (GT, PKC), pp. 697–706.
KDD-2007-TangWXZ #clustering #perspective: Enhancing semi-supervised clustering: a feature projection perspective (WT, HX, SZ, JW), pp. 707–716.
KDD-2007-TantipathananandhBK #community #framework #identification #network #social: A framework for community identification in dynamic social networks (CT, TYBW, DK), pp. 717–726.
KDD-2007-TeoSVL #composition #scalability: A scalable modular convex solver for regularized risk minimization (CHT, AJS, SVNV, QVL), pp. 727–736.
KDD-2007-TongFGE #graph #pattern matching #performance #scalability: Fast best-effort pattern matching in large attributed graphs (HT, CF, BG, TER), pp. 737–746.
KDD-2007-TongFK #graph #mining #performance #proximity: Fast direction-aware proximity for graph mining (HT, CF, YK), pp. 747–756.
KDD-2007-VogelAS #linear #scalability: Scalable look-ahead linear regression trees (DSV, OA, TS), pp. 757–764.
KDD-2007-VreekenLS #difference: Characterising the difference (JV, MvL, AS), pp. 765–774.
KDD-2007-WanNHL #privacy: Privacy-preservation for gradient descent methods (LW, WKN, SH, VCSL), pp. 775–783.
KDD-2007-WangZHS #coordination #correlation #mining #topic: Mining correlated bursty topic patterns from coordinated text streams (XW, CZ, XH, RS), pp. 784–793.
KDD-2007-WangPM #analysis #component: Generalized component analysis for text with heterogeneous attributes (XW, CP, AM), pp. 794–803.
KDD-2007-WongFPW #mining: Mining favorable facets (RCWW, JP, AWCF, KW), pp. 804–813.
KDD-2007-WuWCX #analysis #composition: Local decomposition for rare class analysis (JW, HX, PW, JC), pp. 814–823.
KDD-2007-XuYFS #algorithm #clustering #named #network: SCAN: a structural clustering algorithm for networks (XX, NY, ZF, TAJS), pp. 824–833.
KDD-2007-YanTS #classification #multi: Model-shared subspace boosting for multi-label classification (RY, JT, JRS), pp. 834–843.
KDD-2007-YankovKMCZ #detection #scalability: Detecting time series motifs under uniform scaling (DY, EJK, JM, BYcC, VBZ), pp. 844–853.
KDD-2007-YeJC #analysis #kernel #learning #matrix #polynomial #programming: Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming (JY, SJ, JC), pp. 854–863.
KDD-2007-YuanWY #semantics #visual notation: From frequent itemsets to semantically meaningful visual patterns (JY, YW, MY), pp. 864–873.
KDD-2007-ZhangHZLC #distance: Information distance from a question to an answer (XZ, YH, XZ, ML, DRC), pp. 874–883.
KDD-2007-ZhaoMY #mining: Mining templates from search result records of search engines (HZ, WM, CTY), pp. 884–893.
KDD-2007-ZhengSWW #detection #generative #optimisation: Joint optimization of wrapper generation and template detection (SZ, RS, JRW, DW), pp. 894–902.
KDD-2007-ZhuZNWH #approach #comprehension: Webpage understanding: an integrated approach (JZ, BZ, ZN, JRW, HWH), pp. 903–912.
KDD-2007-AsurPU #behaviour #framework #graph #interactive: An event-based framework for characterizing the evolutionary behavior of interaction graphs (SA, SP, DU), pp. 913–921.
KDD-2007-CastanoWCST #analysis: On-board analysis of uncalibrated data for a spacecraft at mars (RC, KW, SAC, TMS, BT), pp. 922–930.
KDD-2007-FastFMTJGK #detection #preprocessor #relational: Relational data pre-processing techniques for improved securities fraud detection (ASF, LF, MEM, BJT, DJ, HGG, JK), pp. 941–949.
KDD-2007-HuaP #approach #heuristic: Cleaning disguised missing data: a heuristic approach (MH, JP), pp. 950–958.
KDD-2007-KohaviHS #web: Practical guide to controlled experiments on the web: listen to your customers not to the hippo (RK, RMH, DS), pp. 959–967.
KDD-2007-LuoXLS #classification #distributed #network #peer-to-peer: Distributed classification in peer-to-peer networks (PL, HX, KL, ZS), pp. 968–976.
KDD-2007-PerlichRLZ #estimation #modelling: High-quantile modeling for customer wallet estimation and other applications (CP, SR, RDL, BZ), pp. 977–985.
KDD-2007-ZhaoDZ #mining #network: Mining complex power networks for blackout prevention (JHZ, ZYD, PZ), pp. 986–994.
KDD-2007-ZhaoB #web: Corroborate and learn facts from the web (SZ, JB), pp. 995–1003.
KDD-2007-ZhuBK #automation: Extracting relevant named entities for automated expense reimbursement (GZ, TJB, VK), pp. 1004–1012.
KDD-2007-Aggarwal #classification #data type #framework #segmentation: A framework for classification and segmentation of massive audio data streams (CCA), pp. 1013–1017.
KDD-2007-CurryGLVB #case study #detection #scalability #set: Detecting changes in large data sets of payment card data: a case study (CC, RLG, DL, SV, JB), pp. 1018–1022.
KDD-2007-PanZZPSPY #mining #modelling #network: Domain-constrained semi-supervised mining of tracking models in sensor networks (RP, JZ, VWZ, JJP, DS, SJP, QY), pp. 1023–1027.
KDD-2007-PengPLW #summary: Event summarization for system management (WP, CP, TL, HW), pp. 1028–1032.
KDD-2007-RaoBFSON #detection #machine learning #named: LungCAD: a clinically approved, machine learning system for lung cancer detection (RBR, JB, GF, MS, NO, DPN), pp. 1033–1037.
KDD-2007-YanL #machine learning: Machine learning for stock selection (RJY, CXL), pp. 1038–1042.
KDD-2007-YeWLY #detection #named: IMDS: intelligent malware detection system (YY, DW, TL, DY), pp. 1043–1047.
KDD-2007-YinHY #multi #web: Truth discovery with multiple conflicting information providers on the web (XY, JH, PSY), pp. 1048–1052.
KDD-2007-Parthasarathy #data mining #learning #mining: Data mining at the crossroads: successes, failures and learning from them (SP), pp. 1053–1055.

Pavel Berkhin, Rich Caruana, Xindong WuProceedings of the 13th International Conference on Knowledge Discovery and Data MiningKDD, 2007.

Contents (114 items)

Pavel Berkhin, Rich Caruana, Xindong Wu
Proceedings of the 13th International Conference on Knowledge Discovery and Data Mining
KDD, 2007.