App-DDoS detection method using partial binary tree based SVM algorithm by Bin ZHANG, Zihao LIU, Shuqin DONG, Lixun LI

“…As it ignored the detection of ramp-up and pulsing type of application layer DDoS (App-DDoS) attacks in existing flow-based App-DDoS detection methods,an effective detection method for multi-type App-DDoS was proposed.Firstly,in order to fast count the number of HTTP GET for users and further support the calculation of feature parameters applied in detection method,the indexes of source IP address in multiple time windows were constructed by the approach of Hash function.Then the feature parameters by combining SVM classifiers with the structure of partial binary tree were trained hierarchically,and the App-DDoS detection method was proposed with the idea of traversing binary tree and feedback learning to distinguish non-burst normal flow,burst normal flow and multi-type App-DDoS flows.The experimental results show that compared with the conventional SVM-based and naïve-Bayes-based detection methods,the proposed method has more excellent detection performance and can distinguish specific App-DDoS types through subdividing attack types and training detection model layer by layer.…”
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Deep Learning- and Word Embedding-Based Heterogeneous Classifier Ensembles for Text Classification by Zeynep H. Kilimci, Selim Akyokus

“…The ensemble of base classifiers includes traditional machine learning algorithms such as naïve Bayes, support vector machine, and random forest and a deep learning-based conventional network classifier. …”
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What Is Artificial about Life? by Alessandro Giuliani, Ignazio Licata, Carlo M. Modonesi, Paolo Crosignani

“…This is particularly evident in biology, where the pervading paradigm is still dominated by a physically naïve reductionism in which the only relevant causative layer is the molecular one. …”
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Open Profiling of Quality: A Mixed Method Approach to Understanding Multimodal Quality Perception by D. Strohmeier, S. Jumisko-Pyykkö, K. Kunze

“…OPQ is a mixed method combining a conventional quantitative psychoperceptual evaluation and qualitative descriptive quality evaluation based on the individual's own vocabulary. OPQ is targeted for naïve participants applicable to experiments with heterogeneous and multimodal stimulus material. …”
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Comparative Study on Heart Disease Prediction Using Feature Selection Techniques on Classification Algorithms by Kaushalya Dissanayake, Md Gapar Md Johar

“…., decision tree, random forest, support vector machine, K-nearest neighbor, logistic regression, and Gaussian naive Bayes, have been applied to Cleveland heart disease dataset. …”
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Analyzing the Performance of Machine Learning Techniques in Disease Prediction by Khongdet Phasinam, Tamal Mondal, Dony Novaliendry, Cheng-Hong Yang, Chiranjit Dutta, Mohammad Shabaz

“…Classification algorithms such as Naive Bayes, ID3, C4.5, and SVM are being investigated. …”
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Machine learning-based characteristic identification of MSG content in gravy foods by Rosyady Phisca Aditya, Habibah Nurina Umy, Masita, Yudhana Anton

“…This research determines the identification of MSG using the Machine Learning method Naive Bayes classifier algorithm in Python software. …”
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An Ant Colony Optimization Based Feature Selection for Web Page Classification by Esra Saraç, Selma Ayşe Özel

“…In this study, we used an ant colony optimization (ACO) algorithm to select the best features, and then we applied the well-known C4.5, naive Bayes, and k nearest neighbor classifiers to assign class labels to web pages. …”
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Evaluating Machine Learning Models for Prostate Cancer Classification Using Gene Expression Profiles from DNA Microarrays by Haddou Bouazza Sara, Haddou Bouazza Jihad

“…These methods were combined with classifiers such as K Nearest Neighbor (KNN), Support Vector Machine (SVM), Linear Discriminant Analysis (LDA), Decision Tree Classifier (DTC), Naïve Bayes (NB), and Artificial Neural Network (ANN). …”
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Research on Spam Filters Based on NB Algorithm by Su Shengyue

“…The SpamAssassin dataset is used in this study to explore the use of the Naive Bayes (NB) algorithm for spam detection. The algorithm demonstrated high accuracy and efficiency in classifying large-scale text data, achieving an accuracy of 97.74%, a recall rate of 96.60%, and a precision rate of 96.8%, with an F1 score of 0.97. …”
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Evaluasi Kinerja MLLIB APACHE SPARK pada Klasifikasi Berita Palsu dalam Bahasa Indonesia by Antonius Angga Kurniawan, Metty Mustikasari

“…Algoritma klasifikasi yang diterapkan adalah Naïve Bayes, Gradient-Boosted Tree, SVM dan Logistic Regression. …”
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Response to Aflibercept Therapy in Three Types of Choroidal Neovascular Membrane in Neovascular Age-Related Macular Degeneration: Real-Life Evidence in the Czech Republic by Jan Nemcansky, Alexandr Stepanov, Michal Koubek, Miroslav Veith, Yun Min Klimesova, Jan Studnicka

“…Results. The treatment-naive group was composed of 135 eyes of 135 patients in the study. 61 eyes had Type 1 lesions of CNV, 50 eyes had Type 2 lesions, and 24 eyes had Type 4 lesions. …”
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Effect of antiretroviral therapy on the mortality of HIV-1 infection long-term non-progressors: a cohort study by Jinming Su, Jie Liu, Fengxiang Qin, Rongfeng Chen, Tongxue Qin, Xing Tao, Xiu Chen, Wen Hong, Bingyu Liang, Ping Cui, Li Ye, Junjun Jiang, Hao Liang

“…The mortality risk was also elevated in the ART-naïve group versus the ART-experienced ones (aHR = 3.943, 95%CI: 2.658–5.850, P < 0.001). …”
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Dynamic roles of tumor-infiltrating B lymphocytes in cancer immunotherapy by Shishengnan Song, Chong Wang, Yangchao Chen, Xiaorong Zhou, Yi Han, Haijian Zhang

“…Here, we focus on elucidating the mechanisms of tumor intervention mediated by four tumor-infiltrating B lymphocytes. Naive B cells present the initial antigen, germinal center B cell subsets enhance antibody affinity, and immunoglobulin subtypes exert multiple immune effects, while regulatory B cells establish immune tolerance. …”
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Complete and Partial Lesions of the Pyramidal Tract in the Rat Affect Qualitative Measures of Skilled Movements: Impairment in Fixations as a Model for Clumsy Behavior by Ian Q. Whishaw, Dionne M. Piecharka, Felicia R. Drever

“…The tract traverses the entire central nervous system and, through direct and indirect connections to the brainstem and spinal cord sensory and motor nuclei, is involved in the learning and execution of skilled movements. Here, rats, either naive or pretrained on a number of motor tasks, were assessed for acute and chronic impairments following complete or incomplete pyramidal tract lesions. …”
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LANCL1 as the Key Immune Marker in Neuropathic Pain by Yu Shi, XueFei Zhang, Qian Fang, Hongrui Zhan, Xianglong Wang, Xiyan Huang, Tao Fan, Wei Liu, Wen Wu

“…In the immune infiltration analysis, we also found that the LANCL1 is positively correlated with T cells CD4 naïve (r=0.880, p<0.05). Conclusion. In this study, we found that LANCL1 may be a protective factor for NeuP, and the miR-6325/LANCL1 axis may be involved in the occurrence and development of NeuP. …”
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Collaboration of clustering and classification techniques for better prediction of severity of heart stroke using deep learning by T. Swathi Priyadarshini, Mohd Abdul Hameed

“…Three experimental prediction models are developed when k-means clustering is collaborated with classification which includes machine learning algorithms like Naïve Bayes, Decision Tree and a deep learning algorithm Artificial Neural Network. …”
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Oral versus long-acting injectable antipsychotic in first episode schizophrenia: A 12 weeks interventional study by Ramandeep Kaur, Ajeet Sidana, Nidhi Malhotra, Shikha Tyagi

“…Materials and Methods: Seventy-two treatment naïve patients with the first episode of Schizophrenia (DSM-5) were assessed for baseline severity of psychopathology using the positive and negative syndrome scale (PANSS) and quality of life (QOL) using the WHOQOL-BREF scale. …”
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Retreatment with Pegylated Interferon Alpha-2a and Ribavirin in Patients with Chronic Hepatitis C Who Have Relapsed or Not Responded to a First Course of Pegylated Interferon-Based... by Eric M Yoshida, Morris Sherman, Vincent G Bain, Curtis L Cooper, Marc Deschênes, Paul J Marotta, Samuel S Lee, Mel Krajden, Helga Witt-Sullivan, Robert J Bailey, Christopher Usaty, Kevork Peltekian, the Canadian Pegasys Study Group

“…In contrast to the wealth of studies in treatment-naive patients, the effectiveness of retreatment in patients who have previously failed pegIFN-based therapy is largely unreported.…”
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A new model for lung cancer prediction based on differential evolution algorithm and effective feature selection by Amid Khatibi Bardsiri

“…The proposed approach is implemented on two lung cancer databases and achieves a good level of accuracy, which is compared with four other methods: C4.5 decision tree, neural network, Naive Bayes classifier, and logistic regression. …”
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