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INTELLIGENT INFORMATION SYSTEMS VII


Proceedings of the Workshop held in Malbork,
Poland, 15-19 June, 1998


Introduction

Distributed Databases
  • Gryz Jarek: An algorithm for query folding with functional dependencies
  • Kersten Gregory E., Szpakowicz Stan: Modeling business negotiations for electronic commerce
  • Ras Zbigniew W., Bergmann Anna: Maintaining soundness of rules in distributed knowledge-based systems
Machine Learning and Data Mining
  • Kaufman K. A., Michalski Ryszard S.: Multistrategy data mining via the KGL metalanguage
  • Hippe Zdzislaw S.: From research on searching hidden regularities in data
  • Michalewicz Maciej, Klopotek Mieczyslaw A., Wierzchon Slawomir T.: A concept of standard internet tools for integration of databases, knowledge bases and reasoning systems
  • Jelonek Jacek, Krawiec Krzysztof, Stefanowski Jerzy: Comparative study of feature subset selection techniques for machine learning tasks
  • Ziarko Wojciech: Rough sets methodology in data mining
  • Duch Wlodzislaw, Adamczak Rafal, Grabczewski Krzysztof, Zal Grzegorz : Hybrid neural-global minimization logical rule extraction method for medical diagnosis support
  • Glowinski Cezary: Discovering rules with various form of selectors
  • Bobrowski Leon : Rules extraction from data sets by using dipolar criterion
  • Debska Barbara : The methodology of an automatic generation of a rule knowledge base from a set of cases
  • Michalski Artur : First results with using rough set -based decision rules in reinforcement learning
  • Bogdan Sergiusz, Klopotek Mieczyslaw : A system searching for functional dependencies in continuous data.
  • Matuszewski Andrzej : Characterization of dependence between two multivalued variables through the Rasch model - application to construction data-mining algorithms for survey data
  • Ciupke Krzysztof, Maniak Piotr : Application of machine learning methods to diagnostics of machinery
Applications of Intelligent Information Systems
  • Przybyszewski Andrzej W., Rubin Mark A. : Gating input to visual cortex by feedback to LGN
  • Jelonek Jacek , Krawiec Krzysztof, Slowinski Roman : Construction of textural features for classification of histological images
  • Pacholczyk D., Desmontils E. : A linguistic interpretation of affirmative or negative information in declarative modeling in image analysis
  • Alferes Jose Julio, Joao A. Leite Lus Moniz Pereira, Przymusinska Halina, Przymusinski Teodor : Updates of logic programs by logic programs
  • Choras Ryszard : Computer vision techniques
  • Buller Andrzej, de Garis Hugo : Brain-building strategy: some remarks and questions
  • Klopotek Mieczyslaw, Nowak Tomasz : A simulation environment for testing behavior of a population of home-shopping agents.
  • Daciuk Jan : Finite-state automata in document retrieval
Knowledge Based Systems and Reasoning
  • Siminski Roman, Wakulicz-Deja Alicja : Principles and practice in knowledge bases verification
  • Moczulski Wojciech : Methods of knowledge acquisition in machinery diagnostics
  • Kott Grzegorz, Wieleba Ryszard : Expert system model to support decisions in command
  • Lukaszewski Tomasz : On reasoning under uncertainty in adaptive, distributed and multiagent expert systems
  • Wylezol Marek : Electronic form - editor for acquisition of empirical rules from experts for the purpose of diagnostics
  • Kostka Pawel : Optimization of representation space for knowledge acquisition on rotating machinery using machine learning methods
Theoretical Aspects of Intelligent Information Systems
  • Mikolajczak Boleslaw : High-level Petri Nets in development of intelligent parallel and distributed information systems
  • Kacprzyk Janusz, Zadrozny Slawomir : On summarization of large data sets via a fuzzy-logic-based querying add-on to Microsoft Access
  • Koczkodaj W.W., Herman M.W., Orlowski M. : Knowledge elicitation, orthogonal basis and consistency driven pairwise comparisons
  • Bartkowiak Anna, Szustalewicz Adam : Predictions in presence of outliers: Which tool to choose?
  • Czech Zbigniew J : Solving the set-partitioning problem using tabu search
  • Nowak Grazyna, Hippe Zdzislaw S : Logical-heuristic strategy for searching optimal transformations of molecular graphs
  • Gomolinska Anna : Belief change, nonmonotonic inference, and the Scott information systems
  • Boryczka Urszula : Optimization of the bus--service and the Ant Colony System
  • Duch Wlodzislaw, Grudzinski Karol : A framework for distance-based adaptive classification methods
Evolutionary Algorithms, Neural Networks
  • Cetnarowicz Krzysztof, Dobrowolski Grzegorz, Kisiel-Dorohinicki Marek, Nawarecki Edward : Mechanisms of self-regulation in multi-agent systems
  • Obuchowicz Andrzej, Korbicz Jozef : Evolutionary search with soft selection and forced direction of mutation
  • Nowostawski Mariusz, Sloman Aaron : Emergent thought - Automated agent design
  • Kosinski Witold, Michalewicz Zbigniew, Weigl Martyna, Kolesnik Roman : Genetic algorithms for preprocessing of data for universal Approximators
  • Kwasnicka Halina : Efficiency of genetic algorithms with plejotropy and polygene effect -Simulation Study
  • Zelechowska Joanna, Buller Andrzej : Neural network-based system for determining and classifying malignant and benign lesions in ultrasonic images of the breast
  • Balicki Jerzy, Kitowski Zygmunt : Relaxation methods of artificial neural networks for solving NP-hard module assignment optimization problem in two-processor systems with constrained resources
  • Seredynski Franciszek : Genetic algorithms-based intelligent decision support system to Task Scheduling Problem
  • Kwedlo Wojciech, Kretowski Marek : Learning decision rules using an evolutionary algorithm and entropy-based discretization
  • Pawlak Marek : Application of heuristic algorithms and an evolutionary algorithm to production scheduling
  • Skowronski Krzysztof : Genetic rules induction based on MDL principle
Rough Sets
  • Sikora Marek, Mrozek Adam : Semantic oriented synthesis of a rule knowledge base integrated inference engine.
  • Grzymala-Busse Jerzy W. , Soe Than : Inducing simpler rules from reduced data
  • Onisko Agnieszka, Druzdzel Marek J., Wasyluk Hanna : A probabilistic model for diagnosis of liver disorders
  • Stepaniuk Jaroslaw, Urban Miroslawa, Baszun-Stepaniuk Elzbieta : The application of rough set based data mining technique in the prognostician of the diabetic nephropathy prevalence
  • Drwal Grzegorz, Mrozek Adam : System RClass - software implementation of a rough classifier
  • Marszal-Paszek Barbara, Paszek Piotr : Extract strong relationship between data from decision table


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