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

David Heckerman, Heikki Mannila, Daryl Pregibon
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining
KDD, 1997.

KER

@proceedings{KDD-1997,
	address       = "Newport Beach, California, USA",
	editor        = "David Heckerman and Heikki Mannila and Daryl Pregibon",
	ee            = "http://www.aaai.org/Library/KDD/kdd97contents.php",
	isbn          = "1-57735-027-8",
	publisher     = "{AAAI Press}",
	title         = "{Proceedings of the Third International Conference on Knowledge Discovery and Data Mining}",
	year          = 1997,
}

Contents (65 items)

KDD-1997-DerthickKR #data analysis #interactive #visualisation: An Interactive Visualization Environment for Data Exploration (MD, JK, SFR), pp. 2–9.
KDD-1997-EsterKSX #database #detection #set: Density-Connected Sets and their Application for Trend Detection in Spatial Databases (ME, HPK, JS, XX), pp. 10–15.
KDD-1997-FeldmanKZ #data mining #documentation #mining #visualisation: Visualization Techniques to Explore Data Mining Results for Document Collections (RF, WK, AZ), pp. 16–23.
KDD-1997-KeoghS #approach #database #pattern matching #performance #probability: A Probabilistic Approach to Fast Pattern Matching in Time Series Databases (EJK, PS), pp. 24–30.
KDD-1997-LiuHC #classification #using: Using General Impressions to Analyze Discovered Classification Rules (BL, WH, SC), pp. 31–36.
KDD-1997-NakhaeizadehS #algorithm #data mining #development #evaluation #metric #mining #multi: Development of Multi-Criteria Metrics for Evaluation of Data Mining Algorithms (GN, AS), pp. 37–42.
KDD-1997-ProvostF #analysis #classification #comparison #performance #visualisation: Analysis and Visualization of Classifier Performance: Comparison under Imprecise Class and Cost Distributions (FJP, TF), pp. 43–48.
KDD-1997-RubinsteinH #learning: Discriminative vs Informative Learning (YDR, TH), pp. 49–53.
KDD-1997-SmythW #data analysis #set: Anytime Exploratory Data Analysis for Massive Data Sets (PS, DW), pp. 54–60.
KDD-1997-SmythGIRF #clustering #detection #using: Detecting Atmospheric Regimes Using Cross-Validated Clustering (PS, MG, KI, JR, AF), pp. 61–66.
KDD-1997-SrikantVA #constraints #mining: Mining Association Rules with Item Constraints (RS, QV, RA), pp. 67–73.
KDD-1997-StolfoPTLFC #database #distributed #java #named: JAM: Java Agents for Meta-Learning over Distributed Databases (SJS, ALP, ST, WL, DWF, PKC), pp. 74–81.
KDD-1997-SubramonianVC #framework #interactive #visual notation: A Visual Interactive Framework for Attribute Discretization (RS, RV, JC), pp. 82–88.
KDD-1997-WangWSSDRZ #3d #automation: Automated Discovery of Active Motifs in Three Dimensional Molecules (XW, JTLW, DS, BAS, SD, IR, KZ), pp. 89–95.
KDD-1997-YodaFMMT: Computing Optimized Rectilinear Regions for Association Rules (KY, TF, YM, SM, TT), pp. 96–103.
KDD-1997-Zytkow #concept #equation: Knowledge = Concepts: A Harmful Equation (JMZ), pp. 104–109.
KDD-1997-AdomaviciusT #approach #database: Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach (GA, AT), pp. 111–114.
KDD-1997-AliMS #classification #using: Partial Classification Using Association Rules (KA, SM, RS), pp. 115–118.
KDD-1997-AronisP #algorithm #data mining #mining #performance: Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation (JMA, FJP), pp. 119–122.
KDD-1997-Bayardo #classification #mining: Brute-Force Mining of High-Confidence Classification Rules (RJBJ), pp. 123–126.
KDD-1997-BergstenSS #analysis #data mining #machine learning #mining: Applying Data Mining and Machine Learning Techniques to Submarine Intelligence Analysis (UB, JS, PS), pp. 127–130.
KDD-1997-BreitnerSW #database: Process-Based Database Support for the Early Indicator Method (CB, JS, RW), pp. 131–134.
KDD-1997-BrunkKK #data mining #mining #named: MineSet: An Integrated System for Data Mining (CB, JK, RK), pp. 135–138.
KDD-1997-CerquidesM #comparison #empirical: Proposal and Empirical Comparison of a Parallelizable Distance-Based Discretization Method (JC, RLdM), pp. 139–142.
KDD-1997-ChattratichatDGGHKSTY #challenge #data mining #mining #scalability: Large Scale Data Mining: Challenges and Responses (JC, JD, MG, YG, HH, MK, JS, HWT, DY), pp. 143–146.
KDD-1997-ChienFMLG #data analysis #database #image #scalability #using: Using Artificial Intelligence Planning to Automate Science Data Analysis for Large Image Databases (SAC, FF, HM, EL, RG), pp. 147–150.
KDD-1997-DeCoste #behaviour #mining #multi: Mining Multivariate Time-Series Sensor Data to Discover Behavior Envelopes (DD), pp. 151–154.
KDD-1997-Domingos #why: Why Does Bagging Work? A Bayesian Account and its Implications (PMD), pp. 155–158.
KDD-1997-Drucker #classification #performance: Fast Committee Machines for Regression and Classification (HD), pp. 159–162.
KDD-1997-EngelsLS #data mining #mining: A Guided Tour through the Data Mining Jungle (RE, GL, RS), pp. 163–166.
KDD-1997-FeldmanAAZK #documentation #keyword #mining: Maximal Association Rules: A New Tool for Mining for Keyword Co-Occurrences in Document Collections (RF, YA, AA, AZ, WK), pp. 167–170.
KDD-1997-GalalCH #parallel #scalability: Improving Scalability in a Scientific Discovery System by Exploiting Parallelism (GG, DJC, LBH), pp. 171–174.
KDD-1997-HahnS #information management #natural language: Deep Knowledge Discovery from Natural Language Texts (UH, KS), pp. 175–178.
KDD-1997-HaimowitzGS #database #distributed #mining: Integrating and Mining Distributed Customer Databases (IJH, ÖGA, HS), pp. 179–182.
KDD-1997-Hekanaho #concept #learning: GA-Based Rule Enhancement in Concept Learning (JH), pp. 183–186.
KDD-1997-HinkeRRG #independence #mining #roadmap: Target-Independent Mining for Scientific Data: Capturing Transients and Trends for Phenomena Mining (THH, JAR, HSR, SJG), pp. 187–190.
KDD-1997-HoS #named: Zeta: A Global Method for Discretization of Continuous Variables (KMH, PDS), pp. 191–194.
KDD-1997-JensenS #multi: Adjusting for Multiple Comparisons in Decision Tree Pruning (DJ, MDS), pp. 195–198.
KDD-1997-JohnL: SIPping from the Data Firehose (GHJ, BL), pp. 199–202.
KDD-1997-KahngM #algorithm #mining: Mining Generalized Term Associations: Count Propagation Algorithm (JK, WHKL, DM), pp. 203–206.
KDD-1997-KamberHC #mining #multi #using: Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes (MK, JH, JC), pp. 207–210.
KDD-1997-KarguptaHS #architecture #data mining #distributed #mining #scalability: Scalable, Distributed Data Mining — An Agent Architecture (HK, IH, BS), pp. 211–214.
KDD-1997-Ketterlin #clustering #sequence: Clustering Sequences of Complex Objects (AK), pp. 215–218.
KDD-1997-KnorrN: A Unified Notion of Outliers: Properties and Computation (EMK, RTN), pp. 219–222.
KDD-1997-KramerPH #machine learning #mining: Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail (SK, BP, CH), pp. 223–226.
KDD-1997-LentAS #database #roadmap: Discovering Trends in Text Databases (BL, RA, RS), pp. 227–230.
KDD-1997-MihalisinT #data mining #mining #performance #robust #visual notation: Fast Robust Visual Data Mining (TM, JT), pp. 231–234.
KDD-1997-PazzaniMS #learning: Beyond Concise and Colorful: Learning Intelligible Rules (MJP, SM, WRS), pp. 235–238.
KDD-1997-ProvostK #algorithm #induction #overview #perspective #scalability: Scaling Up Inductive Algorithms: An Overview (FJP, VK), pp. 239–242.
KDD-1997-RaoP #visualisation: Visualizing Bagged Decision Trees (JSR, WJEP), pp. 243–246.
KDD-1997-SiebesK #database #interactive #named: KESO: Minimizing Database Interaction (AS, MLK), pp. 247–250.
KDD-1997-Soderland #learning #web: Learning to Extract Text-Based Information from the World Wide Web (SS), pp. 251–254.
KDD-1997-StoughB #image #multi #reduction: Image Feature Reduction through Spoiling: Its Application to Multiple Matched Filters for Focus of Attention (TMS, CEB), pp. 255–258.
KDD-1997-Suzuki #exception #reliability: Autonomous Discovery of Reliable Exception Rules (ES), pp. 259–262.
KDD-1997-ThomasBAR #algorithm #database #incremental #performance #scalability: An Efficient Algorithm for the Incremental Updation of Association Rules in Large Databases (ST, SB, KA, SR), pp. 263–266.
KDD-1997-TurmonMP #identification: Bayesian Inference for Identifying Solar Active Regions (MJT, SM, JP), pp. 267–270.
KDD-1997-WangL #semistructured data: Schema Discovery for Semistructured Data (KW, HL), pp. 271–274.
KDD-1997-WangS: Selecting Features by Vertical Compactness of Data (KW, SS), pp. 275–278.
KDD-1997-Xia #effectiveness #framework #information management: Knowledge Discovery in Integrated Call Centers: A Framework for Effective Customer-Driven Marketing (PX), pp. 279–282.
KDD-1997-ZakiPOL #algorithm #performance: New Algorithms for Fast Discovery of Association Rules (MJZ, SP, MO, WL), pp. 283–286.
KDD-1997-ZamirEMK #clustering #documentation #performance #web: Fast and Intuitive Clustering of Web Documents (OZ, OE, OM, RMK), pp. 287–290.
KDD-1997-ZhongLKO #process: KDD Process Planning (NZ, CL, YK, SO), pp. 291–294.
KDD-1997-ZighedRF #learning #multi: Optimal Multiple Intervals Discretization of Continuous Attributes for Supervised Learning (DAZ, RR, FF), pp. 295–298.
KDD-1997-ZupanBBC #approach #composition #data mining #dataset #mining: A Dataset Decomposition Approach to Data Mining and Machine Discovery (BZ, MB, IB, BC), pp. 299–302.
KDD-1997-Huber #scalability #statistics: From Large to Huge: A Statistician’s Reactions to KDD & DM (PJH), pp. 304–308.

David Heckerman, Heikki Mannila, Daryl PregibonProceedings of the Third International Conference on Knowledge Discovery and Data MiningKDD, 1997.

Contents (65 items)

David Heckerman, Heikki Mannila, Daryl Pregibon
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining
KDD, 1997.