Evangelos Simoudis, Jiawei Han, Usama M. Fayyad
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining
KDD, 1996.
@proceedings{KDD-1996,
address = "Portland, Oregon, USA",
editor = "Evangelos Simoudis and Jiawei Han and Usama M. Fayyad",
isbn = "1-57735-004-9",
pdfurl = "http://www.aaai.org/Library/KDD/kdd96contents.php",
publisher = "{AAAI Press}",
title = "{Proceedings of the Second International Conference on Knowledge Discovery and Data Mining}",
year = 1996,
}
Contents (74 items)
- KDD-1996-ChanS #database #modelling
- Sharing Learned Models among Remote Database Partitions by Local Meta-Learning (PKC, SJS), pp. 2–7.
- KDD-1996-FawcettP #data mining #effectiveness #machine learning #mining #profiling
- Combining Data Mining and Machine Learning for Effective User Profiling (TF, FJP), pp. 8–13.
- KDD-1996-FultonKSW #data mining #induction #interactive #mining #towards
- Local Induction of Decision Trees: Towards Interactive Data Mining (TF, SK, SS, DLW), pp. 14–19.
- KDD-1996-HofackerHSS #information management #product line #scalability #sequence #using
- Knowledge Discovery in RNA Sequence Families of HIV Using Scalable Computers (ILH, MAH, PFS, PES), pp. 20–25.
- KDD-1996-PfitznerS #parallel #simulation
- Parallel Halo Finding in N-Body Cosmology Simulations (DWP, JKS), pp. 26–31.
- KDD-1996-ShekMMN #data mining #distributed #mining #scalability
- Scalable Exploratory Data Mining of Distributed Geoscientific Data (ECS, RRM, EM, KWN), pp. 32–37.
- KDD-1996-CiesielskiP #database #hybrid #mining #overview #using
- Using a Hybrid Neural/Expert System for Data Base Mining in Market Survey Data (VC, GP), pp. 38–43.
- KDD-1996-IglesiaDR #database #heuristic #using
- Discovering Knowledge in Commercial Databases Using Modern Heuristic Techniques (BdlI, JCWD, VJRS), pp. 44–49.
- KDD-1996-FayyadHS #data analysis
- KDD for Science Data Analysis: Issues and Examples (UMF, DH, PES), pp. 50–56.
- KDD-1996-ProvanS #case study #data mining #mining
- Data Mining and Model Simplicity: A Case Study in Diagnosis (GMP, MS), pp. 57–62.
- KDD-1996-TsumotoT #automation #database #set
- Automated Discovery of Medical Expert System Rules from Clinical Databases Based on Rough Sets (ST, HT), pp. 63–69.
- KDD-1996-WangSSZC #automation #multi
- Automated Discovery of Active Motifs in Multiple RNA Secondary Structures (JTLW, BAS, DS, KZ, CYC), pp. 70–75.
- KDD-1996-WirthR #approach #database #detection #multi
- Detecting Early Indicator Cars in an Automotive Database: A Multi-Strategy Approach (RW, TPR), pp. 76–81.
- KDD-1996-FayyadPS #data mining #framework #information management #mining #towards
- Knowledge Discovery and Data Mining: Towards a Unifying Framework (UMF, GPS, PS), pp. 82–88.
- KDD-1996-Piatetsky-ShapiroBKKS #data mining #industrial #information management #mining #overview
- An Overview of Issues in Developing Industrial Data Mining and Knowledge Discovery Applications (GPS, RJB, TK, WK, ES), pp. 89–95.
- KDD-1996-Domingos #induction #linear
- Linear-Time Rule Induction (PMD), pp. 96–101.
- KDD-1996-Feelders #learning #modelling #using
- Learning from Biased Data Using Mixture Models (AJF), pp. 102–107.
- KDD-1996-IttnerS #generative
- Discovery of Relevant New Features by Generating Non-Linear Decision Trees (AI, MS), pp. 108–113.
- KDD-1996-KohaviS
- Error-Based and Entropy-Based Discretization of Continuous Features (RK, MS), pp. 114–119.
- KDD-1996-Musick #learning #network
- Rethinking the Learning of Belief Network Probabilities (RM), pp. 120–125.
- KDD-1996-Smyth #clustering #monte carlo #using
- Clustering Using Monte Carlo Cross-Validation (PS), pp. 126–133.
- KDD-1996-StolorzC #learning #markov #monte carlo #visual notation
- Harnessing Graphical Structure in Markov Chain Monte Carlo Learning (PES, PCC), pp. 134–139.
- KDD-1996-LakshminarayanHGS #machine learning #using
- Imputation of Missing Data Using Machine Learning Techniques (KL, SAH, RPG, TS), pp. 140–145.
- KDD-1996-MannilaT #using
- Discovering Generalized Episodes Using Minimal Occurrences (HM, HT), pp. 146–151.
- KDD-1996-ShenL #data mining #generative #mining
- Metapattern Generation for Integrated Data Mining (WMS, BL), pp. 152–157.
- KDD-1996-ZytkowZ #automation #mining
- Automated Pattern Mining with a Scale Dimension (JMZ, RZ), pp. 158–163.
- KDD-1996-ArningAR #database #detection #linear #scalability
- A Linear Method for Deviation Detection in Large Databases (AA, RA, PR), pp. 164–169.
- KDD-1996-Engels #database #information management
- Planning Tasks for Knowledge Discovery in Databases; Performing Task-Oriented User-Guidance (RE), pp. 170–175.
- KDD-1996-KontkanenMT #data mining #finite #mining #predict
- Predictive Data Mining with Finite Mixtures (PK, PM, HT), pp. 176–182.
- KDD-1996-Lange #approach #empirical #predict #recursion #using
- An Empirical Test of the Weighted Effect Approach to Generalized Prediction Using Recursive Neural Nets (RL), pp. 183–188.
- KDD-1996-MannilaT96a #multi #set
- Multiple Uses of Frequent Sets and Condensed Representations (HM, HT), pp. 189–194.
- KDD-1996-MasandP #comparison #modelling #predict
- A Comparison of Approaches for Maximizing Business Payoff of Prediction Models (BMM, GPS), pp. 195–201.
- KDD-1996-Kohavi #classification #hybrid #scalability
- Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid (RK), pp. 202–207.
- KDD-1996-StolorzD #data mining #detection #mining #named #scalability
- Quakefinder: A Scalable Data Mining System for Detecting Earthquakes from Space (PES, CD), pp. 208–213.
- KDD-1996-WrobelWSE #data mining #mining
- Extensibility in Data Mining Systems (SW, DW, ES, WE), pp. 214–219.
- KDD-1996-Czyzewski #mining
- Mining Knowledge in Noisy Audio Data (AC), pp. 220–225.
- KDD-1996-EsterKSX #algorithm #clustering #database #scalability
- A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise (ME, HPK, JS, XX), pp. 226–231.
- KDD-1996-KaufmanM #information management #multi #reasoning
- A Method for Reasoning with Structured and Continuous Attributes in the INLEN-2 Multistrategy Knowledge Discovery System (KAK, RSM), pp. 232–237.
- KDD-1996-LagusHKK #approach #documentation #interactive #self
- Self-Organizing Maps of Document Collections: A New Approach to Interactive Exploration (KL, TH, SK, TK), pp. 238–243.
- KDD-1996-AgrawalMSSAB #data mining #mining
- The Quest Data Mining System (RA, MM, JCS, RS, AA, TB), pp. 244–249.
- KDD-1996-HanFWCGKLLRSXZ #database #mining #named #relational #scalability
- DBMiner: A System for Mining Knowledge in Large Relational Databases (JH, YF, WW, JC, WG, KK, DL, YL, AR, NS, BX, ORZ), pp. 250–255.
- KDD-1996-ImielinskiVA #database #interface #mining #named #programming #query
- DataMine: Application Programming Interface and Query Language for Database Mining (TI, AV, AA), pp. 256–262.
- KDD-1996-KamberS
- Evaluating the Interestingness of Characteristic Rules (MK, RS), pp. 263–266.
- KDD-1996-MongeE #algorithm #problem
- The Field Matching Problem: Algorithms and Applications (AEM, CE), pp. 267–270.
- KDD-1996-ShanZHC #classification #database #set #using
- Discovering Classification Knowledge in Databases Using Rough Sets (NS, WZ, HJH, NC), pp. 271–274.
- KDD-1996-SuzukiS #database #information management
- Exceptional Knowledge Discovery in Databases Based on Information Theory (ES, MS), pp. 275–278.
- KDD-1996-TeranoI #induction #information management #interactive #learning #using
- Interactive Knowledge Discovery from Marketing Questionnaire Using Simulated Breeding and Inductive Learning Methods (TT, YI), pp. 279–282.
- KDD-1996-WangW #representation #using
- Representing Discovered Patterns Using Attributed Hypergraph (YW, AKCW), pp. 283–286.
- KDD-1996-AgrawalS #data mining #database #mining #relational
- Developing Tightly-Coupled Data Mining Applications on a Relational Database System (RA, KS), pp. 287–290.
- KDD-1996-GaneshSR #database #identification #integration #mining
- Mining Entity-Identification Rules for Database Integration (MG, JS, TR), pp. 291–294.
- KDD-1996-SwansonS
- Undiscovered Public Knowledge: A Ten-Year Update (DRS, NRS), pp. 295–298.
- KDD-1996-FlockhartR #approach #data mining #mining #search-based
- A Genetic Algorithm-Based Approach to Data Mining (IWF, NJR), pp. 299–302.
- KDD-1996-RyuE #programming #query #search-based #using
- Deriving Queries from Results Using Genetic Programming (TWR, CFE), pp. 303–306.
- KDD-1996-CheungNT #information management #maintenance #multi
- Maintenance of Discovered Knowledge: A Case in Multi-Level Association Rules (DWLC, VTYN, BWT), pp. 307–310.
- KDD-1996-KnobbeA
- Analysing Binary Associations (AJK, PWA), pp. 311–314.
- KDD-1996-CherkauerS #information management
- Growing Simpler Decision Trees to Facilitate Knowledge Discovery (KJC, JWS), pp. 315–318.
- KDD-1996-Domingos96a #induction #performance
- Efficient Specific-to-General Rule Induction (PMD), pp. 319–322.
- KDD-1996-GrossmanBNP #data mining #mining #optimisation
- Data Mining and Tree-Based Optimization (RLG, HB, DN, HVP), pp. 323–326.
- KDD-1996-Langley #induction
- Induction of Condensed Determinations (PL), pp. 327–330.
- KDD-1996-Rymon
- SE-Trees Outperform Decision Trees in Noisy Domains (RR), pp. 331–334.
- KDD-1996-Sahami #classification #dependence #learning
- Learning Limited Dependence Bayesian Classifiers (MS), pp. 335–338.
- KDD-1996-UrpaniWS #induction #named
- RITIO — Rule Induction Two In One (DU, XW, JS), pp. 339–342.
- KDD-1996-FeldmanH #mining
- Mining Associations in Text in the Presence of Background Knowledge (RF, HH), pp. 343–346.
- KDD-1996-KnorrN #concept #proximity
- Extraction of Spatial Proximity Patterns by Concept Generalization (EMK, RTN), pp. 347–350.
- KDD-1996-PadmanabhanT #approach #database #logic
- Pattern Discovery in Temporal Databases: A Temporal Logic Approach (BP, AT), pp. 351–354.
- KDD-1996-AronisPB #automation
- Exploiting Background Knowledge in Automated Discovery (JMA, FJP, BGB), pp. 355–358.
- KDD-1996-Fahner #data mining #interactive #mining
- Data Mining with Sparse and Simplified Interaction Selection (GF), pp. 359–362.
- KDD-1996-HofmannB #clustering
- Inferring Hierarchical Clustering Structures by Deterministic Annealing (TH, JMB), pp. 363–366.
- KDD-1996-JohnL #data mining #mining
- Static Versus Dynamic Sampling for Data Mining (GHJ, PL), pp. 367–370.
- KDD-1996-KramerP #performance
- Efficient Search for Strong Partial Determinations (SK, BP), pp. 371–374.
- KDD-1996-McKearneyR #database #information management #reverse engineering
- Reverse Engineering Databases for Knowledge Discovery (SM, HR), pp. 375–378.
- KDD-1996-RicheldiL #effectiveness #feature model
- Performing Effective Feature Selection by Investigating the Deep Structure of the Data (MR, PLL), pp. 379–383.
- KDD-1996-Grinstein #information management
- Harnessing the Human in Knowledge Discovery (GGG), pp. 384–385.
- KDD-1996-Ullman #implementation #performance
- Efficient Implementation of Data Cubes Via Materialized Views (JDU), pp. 386–388.
23 ×#mining
16 ×#data mining
16 ×#database
12 ×#using
11 ×#information management
7 ×#scalability
6 ×#induction
5 ×#approach
5 ×#learning
5 ×#multi
16 ×#data mining
16 ×#database
12 ×#using
11 ×#information management
7 ×#scalability
6 ×#induction
5 ×#approach
5 ×#learning
5 ×#multi