Journal's Facebook pageForthcoming articles
Regular papers
A New Approximate Method For Mining Frequent Itemsets From Big Data
Timur Valiullin, Joshua Zhexue Huang, Chenghao Wei, Jianfei Yin, Dingming Wu and Iuliia Egorova
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Valiullin, T., Huang, J. Z., Wei, C., Yin, J., Wu, D., Egorova, I.: A New Approximate Method For Mining Frequent Itemsets From Big Data. Computer Science and Information Systems, https://doi.org/10.2298/CSIS200124015V
Throughput Prediction based on ExtraTree for Stream Processing Tasks
Zheng Chu, Jiong Yu and Askar Hamdulla
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Chu, Z., Yu, J., Hamdulla, A.: Throughput Prediction based on ExtraTree for Stream Processing Tasks. Computer Science and Information Systems
A method of assessing rework for implementing software requirements changes
Shalinka Jayatilleke and Richard Lai
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Jayatilleke, S., Lai, R.: A method of assessing rework for implementing software requirements changes. Computer Science and Information Systems
A QPSO Algorithm Based on Hierarchical Weight and Its Application in Cloud Computing Task Scheduling
Guolong Yu, Yong Zhao, Zhongwei Cui and Yu Zuo
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Yu, G., Zhao, Y., Cui, Z., Zuo, Y.: A QPSO Algorithm Based on Hierarchical Weight and Its Application in Cloud Computing Task Scheduling. Computer Science and Information Systems
Multi-Objective Optimization of Container-Based Microservice Scheduling in Edge Computing
Guisheng Fan, Liang Chen, Huiqun Yu and Wei Qi
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Fan, G., Chen, L., Yu, H., Qi, W.: Multi-Objective Optimization of Container-Based Microservice Scheduling in Edge Computing. Computer Science and Information Systems
PureEdgeSim: A Simulation Framework for Performance Evaluation of Cloud, Edge and Mist Computing Environments
Charafeddine Mechalikh, Hajer Taktak and Faouzi Moussa
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Mechalikh, C., Taktak, H., Moussa, F.: PureEdgeSim: A Simulation Framework for Performance Evaluation of Cloud, Edge and Mist Computing Environments. Computer Science and Information Systems
CHEARP: Chord-based Hierarchical Energy-Aware Routing Protocol for Wireless Sensor Networks
Lamia CHEKLAT, Mourad AMAD, Mawloud OMAR and Abdellah BOUKERRAM
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CHEKLAT, L., AMAD, M., OMAR, M., BOUKERRAM, A.: CHEARP: Chord-based Hierarchical Energy-Aware Routing Protocol for Wireless Sensor Networks. Computer Science and Information Systems
Spatio-temporal Summarized Visualization of SmartX Multi-View Visibility in Cloud-native Edge Boxes
Muhammad Ahmad Rathore and JongWon Kim
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Rathore, M. A., Kim, J.: Spatio-temporal Summarized Visualization of SmartX Multi-View Visibility in Cloud-native Edge Boxes. Computer Science and Information Systems
A multicriteria optimization approach for the stock market feature selection
Dragana Radojičić, Nina Radojičić and Simeon Kredatus
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Radojičić, D., Radojičić, N., Kredatus, S.: A multicriteria optimization approach for the stock market feature selection. Computer Science and Information Systems
DroidClone: Attack of the Android Malware Clones - A Step Towards Stopping Them
Shahid Alam and Ibrahim Sogukpinar
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Alam, S., Sogukpinar, I.: DroidClone: Attack of the Android Malware Clones - A Step Towards Stopping Them. Computer Science and Information Systems
Spoken Notifications in Smart Environments Using Croatian Language
Renato Šoić, Marin Vuković and Gordan Ježić
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Šoić, R., Vuković, M., Ježić, G.: Spoken Notifications in Smart Environments Using Croatian Language. Computer Science and Information Systems
Convexity of hesitant fuzzy sets based on aggregation functions
Pedro Huidobro, Pedro Alonso, Vladimír Janiš and Susana Montes
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Huidobro, P., Alonso, P., Janiš, V., Montes, S.: Convexity of hesitant fuzzy sets based on aggregation functions. Computer Science and Information Systems
Distance based Clustering of Class Association Rules to Build a Compact, Accurate and Descriptive Classifier
Jamolbek Mattiev and Branko Kavšek
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Mattiev, J., Kavšek, B.: Distance based Clustering of Class Association Rules to Build a Compact, Accurate and Descriptive Classifier. Computer Science and Information Systems
A Dual Hybrid Recommender System based on SCoR and the Random Forest
Costas Panagiotakis, Harris Papadakis and Paraskevi Fragopoulou
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Panagiotakis, C., Papadakis, H., Fragopoulou, P.: A Dual Hybrid Recommender System based on SCoR and the Random Forest. Computer Science and Information Systems
Arabic Linked Drug Dataset Consolidating and Publishing
Guma Lakshen, Valentina Janev and Sanja Vraneš
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Lakshen, G., Janev, V., Vraneš, S.: Arabic Linked Drug Dataset Consolidating and Publishing. Computer Science and Information Systems
Double-Layer Affective Visual Question Answering Network
Zihan Guo, Dezhi Han and Kuan-Ching Li
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Guo, Z., Han, D., Li, K.: Double-Layer Affective Visual Question Answering Network. Computer Science and Information Systems
TrustRec: An Effective Approach to Exploit Implicit Trust and Distrust Relationships along with Explicit ones for Accurate Recommendations
Masoud Reyhani Hamedani, Irfan Ali, Jiwon Hong and Sang-Wook Kim
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Hamedani, M. R., Ali, I., Hong, J., Kim, S.: TrustRec: An Effective Approach to Exploit Implicit Trust and Distrust Relationships along with Explicit ones for Accurate Recommendations. Computer Science and Information Systems
End-to-End Diagnosis of Cloud Systems Against Intermittent Faults
Chao Wang, Zhongchuan Fu and Yanyan Huo
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Wang, C., Fu, Z., Huo, Y.: End-to-End Diagnosis of Cloud Systems Against Intermittent Faults. Computer Science and Information Systems
DrCaptcha: An Interactive Machine Learning Application
Rafael Glikis, Christos Makris and Nikos Tsirakis
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Glikis, R., Makris, C., Tsirakis, N.: DrCaptcha: An Interactive Machine Learning Application. Computer Science and Information Systems
Intrusion Prevention with Attack Traceback and Software-defined Control Plane for Campus Networks
Guangfeng Guo, Junxing Zhang and Zhanfei Ma
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Guo, G., Zhang, J., Ma, Z.: Intrusion Prevention with Attack Traceback and Software-defined Control Plane for Campus Networks. Computer Science and Information Systems
A Novel Information Diffusion Model Based on Psychosocial Factors with Automatic Parameter Learning
Sabina-Adriana Floria and Florin Leon
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Floria, S., Leon, F.: A Novel Information Diffusion Model Based on Psychosocial Factors with Automatic Parameter Learning. Computer Science and Information Systems
Decision-Making Support for Input Data in Business Processes according to Former Instances
José Miguel Pérez Álvarez 1 , Luisa Parody 2 , Marı́a Teresa Gómez-López 3 , Rafael M. Gasca 3 , and Paolo Ceravolo 4
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4, J. M. P. Á. 1. ,. L. P. 2. ,. M. T. G. 3. ,. R. M. G. 3. ,. a. P. C.: Decision-Making Support for Input Data in Business Processes according to Former Instances. Computer Science and Information Systems
Class Balancing in Customer Segments Classification Using Support Vector Machine Rule Extraction and Ensemble Learning
Suncica Rogic and Ljiljana Kascelan
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Rogic, S., Kascelan, L.: Class Balancing in Customer Segments Classification Using Support Vector Machine Rule Extraction and Ensemble Learning. Computer Science and Information Systems
Predicting Dropout in Online Learning Environments
Sandro Radovanović, Boris Delibašić and Milija Suknović
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Radovanović, S., Delibašić, B., Suknović, M.: Predicting Dropout in Online Learning Environments. Computer Science and Information Systems
Students' Preferences in Selection of Computer Science and Informatics Studies - A Comprehensive Empirical Case Study
Miloš Savić, Mirjana Ivanović, Ivan Luković, Boris Delibašić, Jelica Protić and Dragan Janković
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Savić, M., Ivanović, M., Luković, I., Delibašić, B., Protić, J., Janković, D.: Students' Preferences in Selection of Computer Science and Informatics Studies - A Comprehensive Empirical Case Study. Computer Science and Information Systems
Deep Reinforcement Learning for Resource Allocation with Network Slicing in Cognitive Radio Network
Siyu Yuan, Yong Zhang, Wenbo Qie, Tengteng Ma and Sisi Li
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Yuan, S., Zhang, Y., Qie, W., Ma, T., Li, S.: Deep Reinforcement Learning for Resource Allocation with Network Slicing in Cognitive Radio Network. Computer Science and Information Systems
Special section: Invited papers of Distinguished Top Cited ComSIS authors
Hypothetical Tensor-based Multi-criteria Recommender System for New Users with Partial Preferences
Minsung Hong and Jason J. Jung
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Hong, M., Jung, J. J.: Hypothetical Tensor-based Multi-criteria Recommender System for New Users with Partial Preferences. Computer Science and Information Systems
Incorporating privacy by design in Body Sensor Networks for Medical Applications: A Privacy and Data Protection Framework
Christos Kalloniatis, Costas Lambrinoudakis, Mathias Musahl, Athanasios Kanatas and Stefanos Gritzalis
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Kalloniatis, C., Lambrinoudakis, C., Musahl, M., Kanatas, A., Gritzalis, S.: Incorporating privacy by design in Body Sensor Networks for Medical Applications: A Privacy and Data Protection Framework. Computer Science and Information Systems
A JSSP Solution for Production Planning Optimization Combining Industrial Engineering and Evolutionary Algorithms
Sašo Sršen and Marjan Mernik
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Sršen, S., Mernik, M.: A JSSP Solution for Production Planning Optimization Combining Industrial Engineering and Evolutionary Algorithms. Computer Science and Information Systems
Metaphor Research in the 21st Century: A Bibliographic Analysis
Dongyu Zhang, Minghao Zhang, Ciyuan Peng, Jason J. Jung and Feng Xia
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Zhang, D., Zhang, M., Peng, C., Jung, J. J., Xia, F.: Metaphor Research in the 21st Century: A Bibliographic Analysis. Computer Science and Information Systems
