Usama M. Fayyad, Ramasamy Uthurusamy
Proceedings of the First International Conference on Knowledge Discovery and Data Mining
KDD, 1995.
@proceedings{KDD-1995, address = "Montreal, Canada", editor = "Usama M. Fayyad and Ramasamy Uthurusamy", ee = "http://www.aaai.org/Library/KDD/kdd95contents.php", isbn = "0-929280-82-2", publisher = "{AAAI Press}", title = "{Proceedings of the First International Conference on Knowledge Discovery and Data Mining}", year = 1995, }
Contents (56 items)
- KDD-1995-AgrawalP #data mining #mining
- Active Data Mining (RA, GP), pp. 3–8.
- KDD-1995-Gur-AliW #assessment
- An Assessment of PrIL (ÖGA, WAW), pp. 9–14.
- KDD-1995-AndersonSZ #architecture #named
- STAR: A General Architecture for the Support of Distortion Oriented Displays (PA, RS, ZZ), pp. 15–20.
- KDD-1995-AugierVK #algorithm #first-order #learning #logic #search-based
- Learning First Order Logic Rules with a Genetic Algorithm (SA, GV, YK), pp. 21–26.
- KDD-1995-Bell #dependence #functional #maintenance
- Discovery and Maintenance of Functional Dependencies by Independencies (SB), pp. 27–32.
- KDD-1995-BuntineP #how
- Intelligent Instruments: Discovering How to Turn Spectral Data into Information (WLB, TP), pp. 33–38.
- KDD-1995-ChanS #machine learning #scalability
- Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning (PKC, SJS), pp. 39–44.
- KDD-1995-CiampiL #approach #data analysis #design #modelling #network #statistics
- Designing Neural Networks from Statistical Models: A New Approach to Data Exploration (AC, YL), pp. 45–50.
- KDD-1995-CortesDHV #capacity #complexity #predict
- Capacity and Complexity Control in Predicting the Spread Between Borrowing and Lending Interest Rates (CC, HD, DH, VV), pp. 51–56.
- KDD-1995-CortesJC #learning #quality
- Limits on Learning Machine Accuracy Imposed by Data Quality (CC, LDJ, WPC), pp. 57–62.
- KDD-1995-DaoP #integration #mining
- Applying a Data Miner To Heterogeneous Schema Integration (SD, BP), pp. 63–68.
- KDD-1995-DeogunRS #approximate #set
- Exploiting Upper Approximation in the Rough Set Methodology (JSD, VVR, HS), pp. 69–74.
- KDD-1995-DjokoCH
- Analyzing the Benefits of Domain Knowledge in Substructure Discovery (SD, DJC, LBH), pp. 75–80.
- KDD-1995-Dzeroski #database #information management #quality
- Knowledge Discovery in a Water Quality Database (SD), pp. 81–86.
- KDD-1995-ElderP #database #information management #statistics
- A Statistical Perspective On Knowledge Discovery In Databases (JFEI, DP), pp. 87–93.
- KDD-1995-EsterKX #clustering #database #interface #scalability
- A Database Interface for Clustering in Large Spatial Databases (ME, HPK, XX), pp. 94–99.
- KDD-1995-EzawaN #information management #modelling #network #using
- Knowledge Discovery in Telecommunication Services Data Using Bayesian Network Models (KJE, SWN), pp. 100–105.
- KDD-1995-FeeldersLZ #case study #data mining #evaluation #mining
- Data Mining for Loan Evaluation at ABN AMRO: A Case Study (AJF, AJFlL, JWvZ), pp. 106–111.
- KDD-1995-FeldmanD #database #information management
- Knowledge Discovery in Textual Databases (KDT) (RF, ID), pp. 112–117.
- KDD-1995-Fisher #clustering #optimisation
- Optimization and Simplification of Hierarchical Clusterings (DF), pp. 118–123.
- KDD-1995-Gaines #induction
- Structured and Unstructured Induction with EDAGs (BRG), pp. 124–129.
- KDD-1995-Glymour #modelling #predict
- Available Technology for Discovering Causal Models, Building Bayes Nets, and Selecting Predictors: The TETRAD II Program (CG), pp. 130–135.
- KDD-1995-GoldbergS #database #information management
- Restructuring Databases for Knowledge Discovery by Consolidation and Link Formation (HGG, TES), pp. 136–141.
- KDD-1995-HastieT #adaptation #classification #nearest neighbour
- Discriminant Adaptive Nearest Neighbor Classification (TH, RT), pp. 142–149.
- KDD-1995-HolsheimerKMT #data mining #database #mining
- A Perspective on Databases and Data Mining (MH, MLK, HM, HT), pp. 150–155.
- KDD-1995-HsuK #information management #robust
- Estimating the Robustness of Discovered Knowledge (CNH, CAK), pp. 156–161.
- KDD-1995-HuC #database #learning #set #similarity
- Rough Sets Similarity-Based Learning from Databases (XH, NC), pp. 162–167.
- KDD-1995-HwangF #algorithm #induction #performance
- Efficient Algorithms for Attribute-Oriented Induction (HYH, AWCF), pp. 168–173.
- KDD-1995-John #database #robust
- Robust Decision Trees: Removing Outliers from Databases (GHJ), pp. 174–179.
- KDD-1995-KetterlinGK #approach #clustering #concept #database
- Conceptual Clustering in Structured Databases: A Practical Approach (AK, PG, JJK), pp. 180–185.
- KDD-1995-Klosgen #database #information management
- Anonymization Techniques for Knowledge Discovery in Databases (WK), pp. 186–191.
- KDD-1995-KohaviS #set #using
- Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology (RK, DS), pp. 192–197.
- KDD-1995-LeeOQ #information management #visualisation
- Exploiting Visualization in Knowledge Discovery (HYL, HLO, LHQ), pp. 198–203.
- KDD-1995-LiB #database #knowledge-based
- Knowledge-Based Scientific Discovery in Geological Databases (CL, GB), pp. 204–209.
- KDD-1995-MannilaTV #sequence
- Discovering Frequent Episodes in Sequences (HM, HT, AIV), pp. 210–215.
- KDD-1995-MehtaRA
- MDL-Based Decision Tree Pruning (MM, JR, RA), pp. 216–221.
- KDD-1995-MurthyS #effectiveness #heuristic #how #induction #question
- Decision Tree Induction: How Effective is the Greedy Heuristic? (SKM, SS), pp. 222–227.
- KDD-1995-Pazzani #approach #classification
- An Iterative Improvement Approach for the Discretization of Numeric Attributes in Bayesian Classifiers (MJP), pp. 228–233.
- KDD-1995-PfahringerK #evaluation
- Compression-Based Evaluation of Partial Determinations (BP, SK), pp. 234–239.
- KDD-1995-RibeiroKK #database #information management #multi
- Knowledge Discovery from Multiple Databases (JSR, KAK, LK), pp. 240–245.
- KDD-1995-SanjeevZ #database
- Discovering Enrollment Knowledge in University Databases (APS, JMZ), pp. 246–251.
- KDD-1995-ScholkopfBV
- Extracting Support Data for a Given Task (BS, CB, VV), pp. 252–257.
- KDD-1995-SeshadriSW #data mining #feature model #mining
- Feature Extraction for Massive Data Mining (VS, RS, SMW), pp. 258–262.
- KDD-1995-ShanZHC #information management #set #tool support #using
- Using Rough Sets as Tools for Knowledge Discovery (NS, WZ, HJH, NC), pp. 263–268.
- KDD-1995-Siebes #induction #query
- Data Surveying: Foundations of an Inductive Query Language (AS), pp. 269–274.
- KDD-1995-SilberschatzT #information management #metric #on the
- On Subjective Measures of Interestingness in Knowledge Discovery (AS, AT), pp. 275–281.
- KDD-1995-SimoudisLK #using
- Using Recon for Data Cleaning (ES, BL, RK), pp. 282–287.
- KDD-1995-SkowronS #approach #concurrent #modelling #set
- Discovery of Concurrent Data Models from Experimental Tables: A Rough Set Approach (AS, ZS), pp. 288–293.
- KDD-1995-SpirtesM #learning #network
- Learning Bayesian Networks with Discrete Variables from Data (PS, CM), pp. 294–299.
- KDD-1995-StolorzNMMSSYNCMF #data mining #dataset #mining #performance #scalability
- Fast Spatio-Temporal Data Mining of Large Geophysical Datasets (PES, HN, EM, RRM, ECS, JRS, JY, KWN, SYC, CRM, JDF), pp. 300–305.
- KDD-1995-Thiesson #network #quantifier #semistructured data
- Accelerated Quantification of Bayesian Networks with Incomplete Data (BT), pp. 306–311.
- KDD-1995-TsumotoT #automation #induction #multi #recursion #statistics #testing
- Automated Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Statistical Testing (ST, HT), pp. 312–317.
- KDD-1995-TsumotoT95a #automation #component #functional #representation #sequence #set
- Automated Discovery of Functional Components of Proteins from Amino-Acid Sequences Based on Rough Sets and Change of Representation (ST, HT), pp. 318–324.
- KDD-1995-WuM #fuzzy #induction
- Fuzzy Interpretation of Induction Results (XW, PM), pp. 325–330.
- KDD-1995-ZaianeH #design #empirical #information management
- Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment (ORZ, JH), pp. 331–336.
- KDD-1995-ZhongO #multi #towards
- Toward a Multi-Strategy and Cooperative Discovery System (NZ, SO), pp. 337–343.
13 ×#database
12 ×#information management
6 ×#induction
6 ×#mining
6 ×#set
5 ×#data mining
4 ×#approach
4 ×#learning
4 ×#modelling
4 ×#network
12 ×#information management
6 ×#induction
6 ×#mining
6 ×#set
5 ×#data mining
4 ×#approach
4 ×#learning
4 ×#modelling
4 ×#network