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

Lise Getoor, Ted E. Senator, Pedro M. Domingos, Christos Faloutsos
Proceedings of the Ninth International Conference on Knowledge Discovery and Data Mining
KDD, 2003.

KER

@proceedings{KDD-2003,
	address       = "Washington, District of Columbia, USA",
	editor        = "Lise Getoor and Ted E. Senator and Pedro M. Domingos and Christos Faloutsos",
	isbn          = "1-58113-737-0",
	publisher     = "{ACM}",
	title         = "{Proceedings of the Ninth International Conference on Knowledge Discovery and Data Mining}",
	year          = 2003,
}

Contents (96 items)

KDD-2003-Gray #online #prototype: On-line science: the world-wide telescope as a prototype for the new computational science (JG), p. 3.
KDD-2003-Koller #learning #relational #statistics: Statistical learning from relational data (DK), p. 4.
KDD-2003-Weigend #behaviour: Analyzing customer behavior at Amazon.com (ASW), p. 5.
KDD-2003-Aggarwal #data mining #design #distance #mining #towards: Towards systematic design of distance functions for data mining applications (CCA), pp. 9–18.
KDD-2003-BanerjeeDGS #clustering #generative #modelling: Generative model-based clustering of directional data (AB, ISD, JG, SS), pp. 19–28.
KDD-2003-BayS #linear #mining: Mining distance-based outliers in near linear time with randomization and a simple pruning rule (SDB, MS), pp. 29–38.
KDD-2003-BilenkoM #adaptation #detection #metric #similarity #string #using: Adaptive duplicate detection using learnable string similarity measures (MB, RJM), pp. 39–48.
KDD-2003-BoltonA: An iterative hypothesis-testing strategy for pattern discovery (RJB, NMA), pp. 49–58.
KDD-2003-BronnimannCDHS #performance #reduction: Efficient data reduction with EASE (HB, BC, MD, PJH, PS), pp. 59–68.
KDD-2003-CasaliCL #semantics #using: Extracting semantics from data cubes using cube transversals and closures (AC, RC, LL), pp. 69–78.
KDD-2003-ChudovaGMS #clustering #invariant #modelling: Translation-invariant mixture models for curve clustering (DC, SG, EM, PS), pp. 79–88.
KDD-2003-DhillonMM #clustering: Information-theoretic co-clustering (ISD, SM, DSM), pp. 89–98.
KDD-2003-EirinakiVV #named #personalisation #process #semantics #taxonomy #using #web: SEWeP: using site semantics and a taxonomy to enhance the Web personalization process (ME, MV, IV), pp. 99–108.
KDD-2003-El-HajjZ #dataset #interactive #matrix #mining #performance #scalability: Inverted matrix: efficient discovery of frequent items in large datasets in the context of interactive mining (MEH, ORZ), pp. 109–118.
KDD-2003-EtzioniTKY #mining: To buy or not to buy: mining airfare data to minimize ticket purchase price (OE, RT, CAK, AY), pp. 119–128.
KDD-2003-GionisKM #order: Fragments of order (AG, TK, HM), pp. 129–136.
KDD-2003-KempeKT #network #social: Maximizing the spread of influence through a social network (DK, JMK, ÉT), pp. 137–146.
KDD-2003-KoyuturkG #dataset #framework #named: PROXIMUS: a framework for analyzing very high dimensional discrete-attributed datasets (MK, AG), pp. 147–156.
KDD-2003-PampalkGW #feature model #visualisation: Visualizing changes in the structure of data for exploratory feature selection (EP, WG, GW), pp. 157–166.
KDD-2003-PerlichP #concept #relational: Aggregation-based feature invention and relational concept classes (CP, FJP), pp. 167–176.
KDD-2003-SarawagiCG #learning #named #probability #topic: Cross-training: learning probabilistic mappings between topics (SS, SC, SG), pp. 177–186.
KDD-2003-SripadaRHY #generative #summary #using: Generating English summaries of time series data using the Gricean maxims (SS, ER, JH, JY), pp. 187–196.
KDD-2003-TantrumMS #assessment #clustering #modelling: Assessment and pruning of hierarchical model based clustering (JT, AM, WS), pp. 197–205.
KDD-2003-VaidyaC #clustering #privacy: Privacy-preserving k-means clustering over vertically partitioned data (JV, CC), pp. 206–215.
KDD-2003-VlachosHGK #distance #metric #multi: Indexing multi-dimensional time-series with support for multiple distance measures (MV, MH, DG, EJK), pp. 216–225.
KDD-2003-WangFYH #classification #concept #data type #mining #using: Mining concept-drifting data streams using ensemble classifiers (HW, WF, PSY, JH), pp. 226–235.
KDD-2003-WangHP #mining: CLOSET+: searching for the best strategies for mining frequent closed itemsets (JW, JH, JP), pp. 236–245.
KDD-2003-WangJL #mining: Mining unexpected rules by pushing user dynamics (KW, YJ, LVSL), pp. 246–255.
KDD-2003-WebbBN #detection #difference #on the: On detecting differences between groups (GIW, SMB, DAN), pp. 256–265.
KDD-2003-WhiteS #algorithm #network: Algorithms for estimating relative importance in networks (SW, PS), pp. 266–275.
KDD-2003-WuBY #modelling #multi: Screening and interpreting multi-item associations based on log-linear modeling (XW, DB, YY), pp. 276–285.
KDD-2003-YanH #graph #mining #named: CloseGraph: mining closed frequent graph patterns (XY, JH), pp. 286–295.
KDD-2003-YiLL #data mining #mining #web: Eliminating noisy information in Web pages for data mining (LY, BL, XL), pp. 296–305.
KDD-2003-YuYH #clustering #scalability #set #using: Classifying large data sets using SVMs with hierarchical clusters (HY, JY, JH), pp. 306–315.
KDD-2003-ZakiA #classification #effectiveness #named #xml: XRules: an effective structural classifier for XML data (MJZ, CCA), pp. 316–325.
KDD-2003-ZakiG #mining #performance #using: Fast vertical mining using diffsets (MJZ, KG), pp. 326–335.
KDD-2003-ZhuS #data type #detection #performance: Efficient elastic burst detection in data streams (YZ, DS), pp. 336–345.
KDD-2003-AliK #clustering #divide and conquer #using #web: Golden Path Analyzer: using divide-and-conquer to cluster Web clickstreams (KA, SPK), pp. 349–358.
KDD-2003-FramAD #data mining #empirical #mining #safety: Empirical Bayesian data mining for discovering patterns in post-marketing drug safety (DMF, JSA, WD), pp. 359–368.
KDD-2003-HoNKLNYT #abstraction #mining: Mining hepatitis data with temporal abstraction (TBH, TDN, SK, SQL, DN, HY, KT), pp. 369–377.
KDD-2003-JensenRB #assessment: Information awareness: a prospective technical assessment (DJ, MJR, HB), pp. 378–387.
KDD-2003-LastFK #approach #automation #data mining #mining #testing: The data mining approach to automated software testing (ML, MF, AK), pp. 388–396.
KDD-2003-LawrenceHC #modelling #predict: Passenger-based predictive modeling of airline no-show rates (RDL, SJH, JC), pp. 397–406.
KDD-2003-Piatetsky-ShapiroKR #array #data analysis: Capturing best practice for microarray gene expression data analysis (GPS, TK, SR), pp. 407–415.
KDD-2003-RaoSNGR #analysis: Clinical and financial outcomes analysis with existing hospital patient records (RBR, SS, RSN, CG, HR), pp. 416–425.
KDD-2003-SahooORGMMVS #clustering #predict #scalability: Critical event prediction for proactive management in large-scale computer clusters (RKS, AJO, IR, MG, JEM, SM, RV, AS), pp. 426–435.
KDD-2003-SheCWEGB #predict: Frequent-subsequence-based prediction of outer membrane proteins (RS, FC, KW, ME, JLG, FSLB), pp. 436–445.
KDD-2003-SteinbachTKKP #clustering #using: Discovery of climate indices using clustering (MS, PNT, VK, SAK, CP), pp. 446–455.
KDD-2003-WeissBKD #data mining #knowledge-based #mining: Knowledge-based data mining (SMW, SJB, SK, SD), pp. 456–461.
KDD-2003-WuGLYC #multimodal: The anatomy of a multimodal information filter (YLW, KG, BL, HY, EYC), pp. 462–471.
KDD-2003-ArgamonSS #mining #multi: Style mining of electronic messages for multiple authorship discrimination: first results (SA, MS, SSS), pp. 475–480.
KDD-2003-BhatnagarKN #classification #mining: Mining high dimensional data for classifier knowledge (RB, GK, WN), pp. 481–486.
KDD-2003-ChangL #adaptation #data type #online: Finding recent frequent itemsets adaptively over online data streams (JHC, WSL), pp. 487–492.
KDD-2003-ChiuKL #probability: Probabilistic discovery of time series motifs (BYcC, EJK, SL), pp. 493–498.
KDD-2003-CohenWM #comprehension: Understanding captions in biomedical publications (WWC, RCW, RFM), pp. 499–504.
KDD-2003-DuZ #data mining #mining #privacy #random #using: Using randomized response techniques for privacy-preserving data mining (WD, JZZ), pp. 505–510.
KDD-2003-DuMouchelA #design: Applications of sampling and fractional factorial designs to model-free data squashing (WD, DKA), pp. 511–516.
KDD-2003-FradkinM #machine learning #random: Experiments with random projections for machine learning (DF, DM), pp. 517–522.
KDD-2003-GamaRM #data type #mining #performance: Accurate decision trees for mining high-speed data streams (JG, RR, PM), pp. 523–528.
KDD-2003-GuhaGK #correlation #data type: Correlating synchronous and asynchronous data streams (SG, DG, NK), pp. 529–534.
KDD-2003-GunduzO #behaviour #modelling #predict #representation #web: A Web page prediction model based on click-stream tree representation of user behavior (SG, MTÖ), pp. 535–540.
KDD-2003-HopcroftKKS #community #network #scalability: Natural communities in large linked networks (JEH, OK, BK, BS), pp. 541–546.
KDD-2003-Houle #clustering #navigation #set: Navigating massive data sets via local clustering (MEH), pp. 547–552.
KDD-2003-HsuDL #database #image #mining: Mining viewpoint patterns in image databases (WH, JD, MLL), pp. 553–558.
KDD-2003-Jermaine #correlation #game studies: Playing hide-and-seek with correlations (CJ), pp. 559–564.
KDD-2003-JiangPZ #interactive: Interactive exploration of coherent patterns in time-series gene expression data (DJ, JP, AZ), pp. 565–570.
KDD-2003-JinA #performance #streaming: Efficient decision tree construction on streaming data (RJ, GA), pp. 571–576.
KDD-2003-JoshiAKN #documentation #similarity #web: A bag of paths model for measuring structural similarity in Web documents (SJ, NA, RK, SN), pp. 577–582.
KDD-2003-Kamishima #collaboration #order #recommendation: Nantonac collaborative filtering: recommendation based on order responses (TK), pp. 583–588.
KDD-2003-KorenH #clustering #visualisation: A two-way visualization method for clustered data (YK, DH), pp. 589–594.
KDD-2003-LeungP #empirical: Empirical comparisons of various voting methods in bagging (KTL, DSPJ), pp. 595–600.
KDD-2003-LiuGZ #mining #web: Mining data records in Web pages (BL, RLG, YZ), pp. 601–606.
KDD-2003-LiuLLY #on the #query: On computing, storing and querying frequent patterns (GL, HL, WL, JXY), pp. 607–612.
KDD-2003-MaP #detection #online #sequence: Online novelty detection on temporal sequences (JM, SP), pp. 613–618.
KDD-2003-MorinagaYT #distributed #mining: Distributed cooperative mining for information consortia (SM, KY, JiT), pp. 619–624.
KDD-2003-NevilleJFH #learning #probability #relational: Learning relational probability trees (JN, DJ, LF, MH), pp. 625–630.
KDD-2003-NobleC #detection #graph: Graph-based anomaly detection (CCN, DJC), pp. 631–636.
KDD-2003-PanCTYZ #biology #dataset #named: Carpenter: finding closed patterns in long biological datasets (FP, GC, AKHT, JY, MJZ), pp. 637–642.
KDD-2003-PeterCG #algorithm #clustering #dataset #scalability: New unsupervised clustering algorithm for large datasets (WP, JC, CG), pp. 643–648.
KDD-2003-SequeiraZSC #data mining #locality #mining #source code: Improving spatial locality of programs via data mining (KS, MJZ, BKS, CDC), pp. 649–654.
KDD-2003-TangZP #mining: Mining phenotypes and informative genes from gene expression data (CT, AZ, JP), pp. 655–660.
KDD-2003-TaoMF #framework #mining #using: Weighted Association Rule Mining using weighted support and significance framework (FT, FM, MMF), pp. 661–666.
KDD-2003-TeohM #interactive #named #visualisation: PaintingClass: interactive construction, visualization and exploration of decision trees (STT, KLM), pp. 667–672.
KDD-2003-TsamardinosAS #markov #performance: Time and sample efficient discovery of Markov blankets and direct causal relations (IT, CFA, ARS), pp. 673–678.
KDD-2003-YuC #distributed #multi: Distributed multivariate regression based on influential observations (HY, ECC), pp. 679–684.
KDD-2003-YuL: Efficiently handling feature redundancy in high-dimensional data (LY, HL), pp. 685–690.
KDD-2003-AlonsoBLB #adaptation #nearest neighbour: An adaptive nearest neighbor search for a parts acquisition ePortal (RA, JAB, HL, CB), pp. 693–698.
KDD-2003-BarryZM #architecture #information management #simulation: Architecting a knowledge discovery engine for military commanders utilizing massive runs of simulations (PSB, JZ, MM), pp. 699–704.
KDD-2003-DasuVW #information management #quality: Data quality through knowledge engineering (TD, GTV, JRW), pp. 705–710.
KDD-2003-LauLW #analysis #similarity: Similarity analysis on government regulations (GTL, KHL, GW), pp. 711–716.
KDD-2003-MayerS #design: Experimental design for solicitation campaigns (UFM, AS), pp. 717–722.
KDD-2003-OteyPGLNP #detection #towards: Towards NIC-based intrusion detection (MEO, SP, AG, GL, SN, DKP), pp. 723–728.
KDD-2003-PerngTGMH #data-driven #network #validation: Data-driven validation, completion and construction of event relationship networks (CSP, DT, GG, SM, JLH), pp. 729–734.
KDD-2003-PrattT #concept #visualisation: Visualizing concept drift (KBP, GT), pp. 735–740.
KDD-2003-ShimazuMF #case study: Experimental study of discovering essential information from customer inquiry (KS, AM, KF), pp. 741–746.
KDD-2003-ZhangSY #data mining #mining: Applying data mining in investigating money laundering crimes (Z(Z, JJS, PSY), pp. 747–752.

Lise Getoor, Ted E. Senator, Pedro M. Domingos, Christos FaloutsosProceedings of the Ninth International Conference on Knowledge Discovery and Data MiningKDD, 2003.

Contents (96 items)

Lise Getoor, Ted E. Senator, Pedro M. Domingos, Christos Faloutsos
Proceedings of the Ninth International Conference on Knowledge Discovery and Data Mining
KDD, 2003.