• Publications
  • Influence
Supervised clustering - algorithms and benefits
It seems that "greedy" algorithms, such as SPAM, SRIDHCR, and TDS, do not perform particularly well for supervised clustering and seem to terminate prematurely too often. Expand
Acquisition of terminological knowledge using database design techniques
The paper proposes concepts, methods and tools to support the extraction, mtegratlon, transformatlon and evaluation of termmologlcal knowledge that are based on database design techmques and discusses the posslblhtles and lm-ntatlons of automatmg these keywords and phrases knowledge based systems, knowledge base design, database design. Expand
Class decomposition via clustering: a new framework for low-variance classifiers
Experimental results on real-world domains show an advantage in predictive accuracy when clustering is used as a preprocessing step to classification, mainly on classifiers characterized by high bias but low variance. Expand
Visualizing the evolution of genetic algorithm search processes
This paper describes the features of a GA-visualization environment that uses quadcodes to generate search space coverage maps, that employs 2D-distance maps to visualization convergence, and uses contour maps to visualize fitness. Expand
Supervised clustering: algorithms and applications
A technique for class decomposition is introduced and demonstrated with experimental results how it could enhance the performance of simple classifiers, and a dataset editing technique is presented, called supervised clustering editing (SCE), which replaces examples of a learned cluster by the cluster representative. Expand
Rule-Based Consistency Enforcement for Knowledge-Based Systems
A rule-based approach for the automatic enforcement of consistency constraints is presented, which centralizes consistency enforcement in a separate module called a knowledge-base management system and introduces a new form of production rule called the activation pattern controlled rule. Expand
Deriving Queries from Results Using Genetic Programming
The architecture of a knowledge discovery system, called MASSON, which employs genetic programming to find commonalities within a set of objects belonging to an object-oriented database is discussed. Expand
A Methodology for the Design and Transformation of Conceptual Schemas
  • C. Eick
  • Computer Science
  • VLDB
  • 3 September 1991
The back end of a conceptual design methodology called ANNAPURNA is surveyed that relies on multi-typed functional and existence depeudencies and a general framework for the specification of conceptual schema transformations is proposed. Expand
A Framework for Regional Association Rule Mining in Spatial Datasets
A novel framework to mine regional association rules relying on a given class structure, a reward-based regional discovery methodology, and a divisive, grid-based supervised clustering algorithm are introduced that identifies interesting subregions in spatial datasets. Expand
Supervised Clustering : Algorithms and Application
This work centers on a novel data mining technique we term supervised clustering. Unlike traditional clustering, supervised clustering assumes that the examples are classified and has the goal ofExpand