Data Warehousing and Data Mining - a Case Study
Milija Suknović, Milutin Čupić, Milan Martić, Darko Krulj (2005)
The Yugoslav Journal of Operations Research
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Displaying similar documents to “Completing an uncertainty criterion of classification.”
Data Warehousing and Data Mining - a Case Study
Toward Optimal Feature Selection Using Ranking Methods and Classification Algorithms
Jasmina Novaković, Perica Strbac, Dusan Bulatović (2011)
The Yugoslav Journal of Operations Research
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KIS: An automated attribute induction method for classification of DNA sequences
Rafał Biedrzycki, Jarosław Arabas (2012)
International Journal of Applied Mathematics and Computer Science
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This paper presents an application of methods from the machine learning domain to solving the task of DNA sequence recognition. We present an algorithm that learns to recognize groups of DNA sequences sharing common features such as sequence functionality. We demonstrate application of the algorithm to find splice sites, i.e., to properly detect donor and acceptor sequences. We compare the results with those of reference methods that have been designed and tuned to detect splice sites....
IctNeo system for jaundice management
C. Bielza, M. Gómez, S. Ríos-Insua, J. A. Fernández Del Pozo, P. García Barreno, S. Caballero, M. Sánchez Luna (1998)
Revista de la Real Academia de Ciencias Exactas Físicas y Naturales
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Assessment of landslide susceptibility by decision trees in the metropolitan area of Istanbul, Turkey.
Nefeslioglu, H.A., Sezer, E., Gokceoglu, C., Bozkir, A.S., Duman, T.Y. (2010)
Mathematical Problems in Engineering
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Integration of candidate hash trees in concurrent processing of frequent itemset queries using Apriori
Przemysław Grudziński, Marek Wojciechowski (2009)
Control and Cybernetics
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Building adaptive tests using Bayesian networks
Jiří Vomlel (2004)
Kybernetika
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We propose a framework for building decision strategies using Bayesian network models and discuss its application to adaptive testing. Dynamic programming and algorithm are used to find optimal adaptive tests. The proposed algorithm is based on a new admissible heuristic function.
Data mining techniques using decision tree model in materialised projection and selection view.
Y. W. Teh (2004)
Mathware and Soft Computing
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With the availability of very large data storage today, redundant data structures are no longer a big issue. However, an intelligent way of managing materialised projection and selection views that can lead to fast access of data is the central issue dealt with in this paper. A set of implementation steps for the data warehouse administrators or decision makers to improve the response time of queries is also defined. The study concludes that both attributes and tuples, are important...
Case Completion and Similarity in Case-Based Reasoning
Hans-Dieter Burkhard (2004)
Computer Science and Information Systems
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Classifier PGN: Classification with High Confidence Rules
Mitov, Iliya, Depaire, Benoit, Ivanova, Krassimira, Vanhoof, Koen (2013)
Serdica Journal of Computing
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ACM Computing Classification System (1998): H.2.8, H.3.3. Associative classifiers use a set of class association rules, generated from a given training set, to classify new instances. Typically, these techniques set a minimal support to make a first selection of appropriate rules and discriminate subsequently between high and low quality rules by means of a quality measure such as confidence. As a result, the final set of class association rules have a support equal or greater...