Text Classification Using Association Rules, Dependency Pruning and Hyperonymization
, 2014 We present new methods for pruning and enhancing item- sets for text classification via association rule mining. Pruning methods are based on dependency syntax and enhancing methods are based on replacing words by their hyperonyms of various orders.
Haralambous, Yannis, Lenca, Philippe
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A machine learning approach with verification of predictions and assisted supervision for a rule-based network intrusion detection system [PDF]
, 2008 Network security is a branch of network management in which network intrusion detection systems provide attack detection features by monitorization of traffic data.
Fernández Villamor, José Ignacio +1 more
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High-dimensional classification using features annealed independence rules
, 2008 Classification using high-dimensional features arises frequently in many contemporary statistical studies such as tumor classification using microarray or other high-throughput data.
Fan, Jianqing, Fan, Yingying
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Improving modular classification rule induction with G-Prism using dynamic rule term boundaries [PDF]
, 2017 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
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Risk Stratification in Post-MI Patients Based on Left Ventricular Ejection Fraction and Heart-Rate Turbulence [PDF]
, 2003 Objectives: Development of risk stratification criteria for predicting mortality in post-infarction patients taking into account LVEF and heart-rate turbulence (HRT).
Barthel, Petra +6 more
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A Training Sample Sequence Planning Method for Pattern Recognition Problems [PDF]
, 2005 In solving pattern recognition problems, many classification methods, such as the nearest-neighbor (NN) rule, need to determine prototypes from a training set.
Nagurka, Mark L. +2 more
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EEF: Exponentially Embedded Families with Class-Specific Features for Classification
, 2016 In this letter, we present a novel exponentially embedded families (EEF) based classification method, in which the probability density function (PDF) on raw data is estimated from the PDF on features.
Baggenstoss, Paul M. +3 more
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Rule-Based Text Classification of Dental Diagnosis
Unstructured medical records boast an abundance of information that could greatly facilitate medical decision-making and improve patient care. With the development of Natural Language Processing (NLP) methodology, the free-text medical data starts to attract more and more research attention.
Wang, Mei +4 more
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Fuzzy Rule Base System for Software Classification
International Journal of Computer Science and Information Technology, 2013 Given the central role that software development plays in the delivery and application of information technology, managers have been focusing on process improvement in the software development area. This improvement has increased the demand for software me asures, or metrics to manage the process.
Adnan Shaout, Juan C. Garcia
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Constructing hierarchical fuzzy rule bases for classification [PDF]
10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297), 2002 Fuzzy rule based systems have been very popular in many control applications. However, when fuzzy control systems are used in real problems, many rules may be required. The number of rules required depends on the number of inputs and the number of fuzzy linguistic terms used. This exponential explosion of fuzzy rules can take too much computing time to
T.D. Gedeon, null Kok Wai Wong, D. Tikk
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