Results 41 to 50 of about 1,084,163 (283)
Decision Tree Induction using Adaptive FSA
CLEI Electronic Journal, 2018 This paper introduces a new algorithm for the induction of decision trees, based on adaptive techniques. One of the main feature of this algorithm is the application of automata theory to formalize the problem of decision tree induction and the use of a ...
Hemerson Pistori, Joao Jose Neto
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Implementasi Algoritma Ant Tree Miner Untuk Klasifikasi Jenis Fauna
Infotekmesin: Media Komunikasi Ilmiah Politeknik Cilacap, 2021 Classification is a field of data mining that has many methods, one of them is decision tree. Decision tree is proven to be able to classify many kinds of data such as image data and time series data.
Yunita Ardilla +2 more
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Decision tree-based Design Defects Detection
IEEE Access, 2021 Design defects affect project quality and hinder development and maintenance. Consequently, experts need to minimize these defects in software systems. A promising approach is to apply the concepts of refactoring at higher level of abstraction based on ...
Mohamed Maddeh +3 more
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Porting Decision Tree Algorithms to Multicore using FastFlow [PDF]
, 2010 The whole computer hardware industry embraced multicores. For these machines, the extreme optimisation of sequential algorithms is no longer sufficient to squeeze the real machine power, which can be only exploited via thread-level parallelism.
A.C. Sodan +17 more
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Minimum Query Set for Decision Tree Construction
Entropy, 2021 A new two-stage method for the construction of a decision tree is developed. The first stage is based on the definition of a minimum query set, which is the smallest set of attribute-value pairs for which any two objects can be distinguished.
Wojciech Wieczorek +3 more
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Students' performance prediction employing Decision Tree
CTU Journal of Innovation and Sustainable DevelopmentAn optimized educational community is a must in this modern era. The intersection of educational activities and the transformative potentials of Educational Data Mining (EDM) should be traversed, highlighting the reasoning behind the importance of EDM ...
Abtahi Ahmed +6 more
doaj +3 more sources
Efficient algorithms for decision tree cross-validation
, 2001 Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward implementation of the technique is its computational overhead.
Blockeel, Hendrik, Struyf, Jan
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A Decision Tree for Rockburst Conditions Prediction
Applied Sciences, 2023 This paper presents an alternative approach to predict rockburst using Machine Learning (ML) algorithms. The study used the Decision Tree (DT) algorithm and implemented two approaches: (1) using DT model for each rock type (DT-RT), and (2) developing a ...
Dominic Owusu-Ansah +4 more
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The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada
Population Ecology, EarlyView.We examine historical population data for spruce budworm from several locations through the period 1930–1997, and use density‐dependent recruitment curves to test whether the pattern of population growth over time is more consistent with Royama's (1984; Ecological Monographs 54:429–462) linear R(t) model of harmonic oscillation at Green River New ...
Barry J. Cooke, Jacques Régnière
wiley +1 more source