Papers from the AAAI Workshop on Knowledge Discovery in Databases. Technical Report WS-94-03
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Usama M. Fayyad, Ramasamy Uthurusamy
Papers from the AAAI Workshop on Knowledge Discovery in Databases. Technical Report WS-94-03
KDD, 1994.

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@proceedings{KDD-1994,
	address       = "Seattle, Washington, USA",
	editor        = "Usama M. Fayyad and Ramasamy Uthurusamy",
	isbn          = "0-929280-73-3",
	publisher     = "{AAAI Press}",
	title         = "{Papers from the AAAI Workshop on Knowledge Discovery in Databases. Technical Report WS-94-03}",
	year          = 1994,
}

Contents (40 items)

KDD-1994-BrachmanA #database #information management #process #sketching
The Process of Knowledge Discovery in Databases: A First Sketch (RJB, TA), pp. 1–12.
KDD-1994-Gaines #exception #graph
Exception Dags as Knowledge Structures (BRG), pp. 13–24.
KDD-1994-Piatetsky-ShapiroM
The Interingness of Deviations (GPS, CJM), pp. 25–36.
KDD-1994-SimoudisLK #database #deduction #induction #mining #reasoning
Integrating Inductive and Deductive Reasoning for Database Mining (ES, BL, RK), pp. 37–48.
KDD-1994-AmantC #framework #integration #modelling #towards
Toward the Integration of Exploration and Modeling in a Planning Framework (RSA, PRC), pp. 49–60.
KDD-1994-BhandariB #data analysis #on the #statistics
On the Role of Statistical Significance in Exploratory Data Analysis (ISB, SB), pp. 61–72.
KDD-1994-GregoryC #algorithm #modelling
Two Algorithms for Inducing Causal Models from Data (DEG, PRC), pp. 73–84.
KDD-1994-HeckermanGC #learning #network #statistics
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data (DH, DG, DMC), pp. 85–96.
KDD-1994-Siebes #database #scalability
Homogeneous Discoveries Contain No Surprises: Inferring Risk Profiles from Large Databases (AS), pp. 97–108.
KDD-1994-SmythBFP #database #image #information management #nondeterminism #scalability
Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth (PS, MCB, UMF, PP), pp. 109–120.
KDD-1994-TsumotoT #estimation #probability #recursion
Selection of Probabilistic Measure Estimation Method Based on Recursive Iteration of Resampling Methods (ST, HT), pp. 121–132.
KDD-1994-ChuC #abstraction #concept #database
Abstraction of High Level Concepts from Numerical Values in Databases (WWC, KC), pp. 133–144.
KDD-1994-GuyonMV
Discovering Informative Patterns and Data Cleaning (IG, NM, VV), pp. 145–156.
KDD-1994-HanF #concept #database #generative #information management #refinement
Dynamic Generation and Refinement of Concept Hierarchies for Knowledge Discovery in Databases (JH, YF), pp. 157–168.
KDD-1994-HolderCD
Substucture Discovery in the SUBDUE System (LBH, DJC, SD), pp. 169–180.
KDD-1994-MannilaTV #algorithm #performance
Efficient Algorithms for Discovering Association Rules (HM, HT, AIV), pp. 181–192.
KDD-1994-TroxelSZZ #concept
From Law-Like Knowledge to Concept Hierarchies in Data (MT, KS, RZ, JMZ), pp. 193–204.
KDD-1994-Tsukimoto #logic
The Discovery of Logical Propositions in Numerical Data (HT), pp. 205–216.
KDD-1994-HolsheimerK #architecture #data mining #mining
Architectural Support for Data Mining (MH, MLK), pp. 217–228.
KDD-1994-ImamM #overview
From Facts to Rules to Decisions: An Overview of the FRD-1 System (IFI, RSM), pp. 229–236.
KDD-1994-Kiselev #functional #named #source code
PolyAnalyst — A Machine Discovery System Inferring Functional Programs (MVK), pp. 237–250.
KDD-1994-Klosgen #simulation
Exploration of Simulation Experiments by Discovery (WK), pp. 251–262.
KDD-1994-LaerDR #logic
Applications of a Logical Discovery Engine (WVL, LD, LDR), pp. 263–274.
KDD-1994-ZuckerCTR #bias #induction #named
DICE: A Discovery Environment Integrating Inductive Bias (JDZ, VC, JT, GR), pp. 275–286.
KDD-1994-AnandBH #architecture #database #mining #optimisation #preprocessor #query #semantics
Database Mining in the Architecture of a Semantic Preprocessor for State Aware Query Optimization (SSA, DAB, JGH), pp. 287–298.
KDD-1994-ChiangBS #database #information management #relational #semantics
Extracting Domain Semantics for Knowledge Discovery in Relational Databases (RHLC, TMB, VCS), pp. 299–310.
KDD-1994-HsuK #induction #optimisation #query #semantics
Rule Induction for Semantic Query Optimization (CNH, CAK), pp. 311–322.
KDD-1994-HuCX #database #learning
Learning Data Trend Regularities From Databases in a Dynamic Environment (XH, NC, JX), pp. 323–334.
KDD-1994-ShenMOZ #database #deduction #induction #learning #using
Using Metagueries to Integrate Inductive Learning and Deductive Database Technology (WMS, BGM, KO, CZ), pp. 335–346.
KDD-1994-AronisP #induction #machine learning #relational
Efficiently Constructing Relational Features from Background Knowledge for Inductive Machine Learning (JMA, FJP), pp. 347–358.
KDD-1994-BerndtC #using
Using Dynamic Time Warping to Find Patterns in Time Series (DJB, JC), pp. 359–370.
KDD-1994-Furnkranz #comparison #concept #learning #relational
A Comparison of Pruning Methods for Relational Concept Learning (JF), pp. 371–382.
KDD-1994-HammondBS #approach #navigation
A Case-Based Approach to Knowledge Navigation (KJH, RDB, KS), pp. 383–394.
KDD-1994-MonkMSH #comparison #geometry #set
Geometric Comparison of Clarifications and Rule Sets (TJM, RSM, LAS, GH), pp. 395–406.
KDD-1994-ApteH #generative #predict
Predicting Equity Returns from Securities Data with Minimal Rule Generation (CA, SJH), pp. 407–418.
KDD-1994-DruzdzeG #case study #student
Application of the TETRAD II Program to the Study of Student Retention in U.S. Colleges (MJD, CG), pp. 419–430.
KDD-1994-Kaufman #development #learning #multi #tool support #using
Comparing International Development Patterns Using Multi-Operator Learning and Discovery Tools (KAK), pp. 431–440.
KDD-1994-MatheusPM #analysis
An Application of KEFM to the Analysis of Healthcare Information (CJM, GPS, DM), pp. 441–452.
KDD-1994-SasisekharanSW #machine learning #maintenance #network #using
Proactive Network Maintenance Using Machine Learning (RS, VS, SMW), pp. 453–462.
KDD-1994-KlosgenZ
Machine Discovery Terminology (WK, JMZ), p. 463–?.

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