...Sheng-Qun Chen; Ting You; Jing-Lin Zhang Purpose This study aims to enhance the classification and processing of online appeals by employing a deep-learning-based method. This method is designed to meet the requirements for precise information categorization and decision support across various...

... and sentiment categorization process is done; (3) feature extraction, where Proposed holoentropy based features is extracted. (4) Classification, deep neural network is used that returns the sentiment output. To make the system more accurate on predicting the sentiment, the training of NN is carried out by self...

... of classification model is conducted. Machine learning algorithms are used to establish the classification model. Findings The proposed evaluation model addresses the following questions: What are the potential impact levels of service quality dimensions on the quality of service practically? What should...

...Hongshan Xiao; Yu Wang Purpose Feature space heterogeneity exists widely in various application fields of classification techniques, such as customs inspection decision, credit scoring and medical diagnosis. This paper aims to study the relationship between feature space heterogeneity...

... theory that uses more than decision table and approximating these tables to a classification system, i.e. the paper propose a novel framework of deep learning based on multi-decision tables. Findings The paper tries to coordinate the local properties of individual decision table to provide...

... literature on credit risk. Section 3 describes the neural network, metaheuristics and the proposed method. Section 4 describes data and presents results of a true empirical application, and Section 5 draws the main implications of our proposal. Classification Credit risk Particle swarm optimization...

... to be on the increase and thus a more efficient phishing detection technique is required. The purpose of this paper is to investigate and report the use of a nature inspired based-machine learning (ML) approach in classification of phishing e-mails. Design/methodology/approach – ML-based techniques have been...

... for this purpose. On the other hand, results indicate that performance of classification models increases by combining two or more techniques. The purpose of this paper is to propose a combined model based on clustering and ensemble classifiers. Design/methodology/approach – Based on churn data set...

...Ediz Saykol; Halit Talha Türe; Ahmet Mert Sirvanci; Mert Turan Purpose – The purpose of this paper to classify a set of Turkish sign language (TSL) gestures by posture labeling based finite-state automata (FSA) that utilize depth values in location-based features. Gesture classification...

... sets. Findings – The proposed classification method has been tested on several real-world data sets. Its classification performance is comparable to that of other rough-set-based methods. Originality/value – The authors design a variant of a similarity measure which can be used to estimate...

... penalty parameters and optimal kernel function, and the classification accuracies achieved under different normalization methods and kernel functions are compared in the end. Findings – The study found, the parameters and kernel functions chosen by the SVM model have influence on the model's...

..., Precision/Recall and F measure. Dr Belkacem Fergani can be contacted at: bfergani@gmail.com © Emerald Group Publishing Limited 2014 Artificial intelligence Classification Neural nets Markov processes (Equation 16) SVM, developed by Vapnik (2000) , is based...

...) tags to ensure patient privacy in practical nursing care environments. The accelerometers were attached to the body of the nurse, and the RFID was attached to apparatuses and objects. In addition, a pattern classification algorithm using a support vector machine and filtering methodology were applied...

...Heng Ma; Hung‐Yu Cheng Purpose The purpose of this paper is to effectively deal with querying of classification with membership. Design/methodology/approach The authors propose a scheme comprising a layer of Bloom filter for membership checking and a second layer based on neural network...

...Hejing Xiong; Mianyun Chen; Yi Lin; Yang Hai‐feng; Zhang Ji‐fu; Hu Li‐hua Purpose The purpose of this paper is to examine the important application value of extending the concept of classification rule, so that it can describe and measure the uncertainty of classification knowledge. Design...

.... This paper aims to discuss this issue. Design/methodology/approach Using pornographic web materials as a case study, the authors have developed an effective filtering solution that uses machine intelligence to perform offline web page classification into allowed and disallowed web pages. Findings...

... is that of classification and it is encountered in many domains including medicine, which is considered here. Focuses on a classification technique for knowledge discovery (KD). Reasoning about classifications is a primary interest in KD. Obtains evidence to confirm or refute classes by searching for any data dependencies...

... one of these problems, that of classification, which is encountered in many domains including medicine. Focuses on a classification technique for knowledge discovery (KD). Reasoning about classifications is a primary interest in KD. Deals with obtaining evidence to confirm or refute classes. Searches...

... concept (completely matching observed); completely excluded with respect to this concept; and being of a borderline character. As a consequence the results of matching can have a thorough interpretation. © MCB UP Limited 1993 Classification Fuzzy Sets Support provided by the Natural...

...A.G. Adeagbo‐Sheikh The Use of Beer's Predictive Model in classifying incoming jobs into achievement groups is basically a pattern recognition problem. Pattern recognition, in modern technology, is a quantitative affair. Following Beer's views on the job‐classification issue, consideration is given...