Improving modular classification rule induction with G-Prism using dynamic rule term boundaries [PDF]
Modular classification rule induction for predictive analytics is an alternative and expressive approach to rule induction as opposed to decision tree based classifiers.
Almutairi, Manal +2 more
core +1 more source
Architectures for evolving fuzzy rule-based classifiers [PDF]
In this paper the recently introduced evolving fuzzy classifier method called eClass is studied in respect to its architecture and evolution of the fuzzy rule-base. The proposed classifier has an open/evolving structure and can start 'from scratch', learning and adapting to the new data samples. Alternatively, if an initial fuzzy rule-based classifier,
Angelov, Plamen +3 more
openaire +1 more source
Improving an Association Rule Based Classifier [PDF]
Existing classification algorithms in machine learning mainly use heuristic search to find a subset of regularities in data for classification. In the past few years, extensive research was done in the database community on learning rules using exhaustive search under the name of association rule mining.
Bing Liu, Yiming Ma, Ching Kian Wong
openaire +1 more source
Coverage-Based Classification Using Association Rule Mining
Building accurate and compact classifiers in real-world applications is one of the crucial tasks in data mining nowadays. In this paper, we propose a new method that can reduce the number of class association rules produced by classical class association
Jamolbek Mattiev, Branko Kavsek
doaj +1 more source
A Study of Different Classifier Combination Approaches for Handwritten Indic Script Recognition
Script identification is an essential step in document image processing especially when the environment is multi-script/multilingual. Till date researchers have developed several methods for the said problem.
Anirban Mukhopadhyay +3 more
doaj +1 more source
A Logical Foundation for Environment Classifiers [PDF]
Taha and Nielsen have developed a multi-stage calculus {\lambda}{\alpha} with a sound type system using the notion of environment classifiers. They are special identifiers, with which code fragments and variable declarations are annotated, and their ...
Atsushi Igarashi +2 more
core +2 more sources
Finding a short and accurate decision rule in disjunctive normal form by exhaustive search [PDF]
Greedy approaches suffer from a restricted search space which could lead to suboptimal classifiers in terms of performance and classifier size. This study discusses exhaustive search as an alternative to greedy search for learning short and accurate ...
A. Zoghbi +19 more
core +2 more sources
Reducing the Complexity of Genetic Fuzzy Classifiers in Highly-Dimensional Classification Problems [PDF]
This paper introduces the Fast Iterative Rule-based Linguistic Classifier (FaIRLiC), a Genetic Fuzzy Rule-Based Classification System (GFRBCS) which targets at reducing the structural complexity of the resulting rule base, as well as its learning ...
DimitrisG. Stavrakoudis +3 more
doaj +1 more source
A Recognition Method of Aggressive Driving Behavior Based on Ensemble Learning
Aggressive driving behavior (ADB) is one of the main causes of traffic accidents. The accurate recognition of ADB is the premise to timely and effectively conduct warning or intervention to the driver. There are some disadvantages, such as high miss rate
Hanqing Wang +6 more
doaj +1 more source
Clinical Insights Into Hypercalcemia of Malignancy in Childhood
ABSTRACT Hypercalcemia of malignancy (HCM) is a rare but life‐threatening metabolic emergency in children that occurs in less than 1% of pediatric cancer cases, with a reported incidence ranging from 0.4% to 1.0% across different studies. While it is observed in 10%–20% of adult malignancies, pediatric HCM remains relatively uncommon.
Hüseyin Anıl Korkmaz
wiley +1 more source

