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Volume 18, Issue 3 (June 2021)

Editorial
Mirjana Ivanović, Miloš Radovanović and Vladimir Kurbalija
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Ivanović, M., Radovanović, M., Kurbalija, V.: Editorial. Computer Science and Information Systems, Vol. 18, No. 3, i–iv. (2021), https://doi.org/10.2298/CSIS210300iI

Papers

FPGA Implementation of Fuzzy Medical Decision Support System for Disc Hernia Diagnosis
Tijana Šušteršič, Miodrag Peulić and Aleksandar Peulić
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Šušteršič, T., Peulić, M., Peulić, A.: FPGA Implementation of Fuzzy Medical Decision Support System for Disc Hernia Diagnosis. Computer Science and Information Systems, Vol. 18, No. 3, 619–640. (2021), https://doi.org/10.2298/CSIS200224015S

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, Vol. 18, No. 3, 641–656. (2021), https://doi.org/10.2298/CSIS200124015V

Reverse Engineering Models of Software Interfaces
Debjyoti Bera, Mathijs Schuts, Jozef Hooman and Ivan Kurtev
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Bera, D., Schuts, M., Hooman, J., Kurtev, I.: Reverse Engineering Models of Software Interfaces. Computer Science and Information Systems, Vol. 18, No. 3, 657–686. (2021), https://doi.org/10.2298/CSIS200131013B

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, Vol. 18, No. 3, 687–702. (2021), https://doi.org/10.2298/CSIS200130048G

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, Vol. 18, No. 3, 703–728. (2021), https://doi.org/10.2298/CSIS200415050F

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, Vol. 18, No. 3, 729–748. (2021), https://doi.org/10.2298/CSIS200510047L

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, Vol. 18, No. 3, 749–769. (2021), https://doi.org/doi.org/10.2298/CSIS200326044R

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, Vol. 18, No. 3, 771–790. (2021), https://doi.org/10.2298/CSIS200620040W

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, Vol. 18, No. 3, 791–811. (2021), https://doi.org/10.2298/CSIS200430037M

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, Vol. 18, No. 3, 813–834. (2021), https://doi.org/10.2298/CSIS200308043C

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, Vol. 18, No. 3, 835–865. (2021), https://doi.org/10.2298/CSIS200522051P

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, Vol. 18, No. 3, 867–891. (2021), https://doi.org/10.2298/CSIS200206049G

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, Vol. 18, No. 3, 893–925. (2021), https://doi.org/10.2298/CSIS200530052R

Real Time Availability And Consistency Of Health-Related Information Across Multiple Stakeholders: A Blockchain Based Approach
Zlate Dodevski, Sonja Filiposka, Anastas Mishev and Vladimir Trajkovik
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Dodevski, Z., Filiposka, S., Mishev, A., Trajkovik, V.: Real Time Availability And Consistency Of Health-Related Information Across Multiple Stakeholders: A Blockchain Based Approach. Computer Science and Information Systems, Vol. 18, No. 3, 927–955. (2021), https://doi.org/10.2298/CSIS200426017D

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, Vol. 18, No. 3, 957–978. (2021), https://doi.org/10.2298/CSIS200920053R

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, Vol. 18, No. 3, 979–999. (2021), https://doi.org/10.2298/CSIS200710055Y

Patient Length of Stay Analysis with Machine Learning Algorithms
Savo Tomović
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Tomović, S.: Patient Length of Stay Analysis with Machine Learning Algorithms. Computer Science and Information Systems, Vol. 18, No. 3, 1001–1021. (2021), https://doi.org/10.2298/CSIS200422016T

Multimodal Encoders and Decoders with Gate Attention for Visual Question Answering
Haiyan Li and Dezhi Han
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Li, H., Han, D.: Multimodal Encoders and Decoders with Gate Attention for Visual Question Answering. Computer Science and Information Systems, Vol. 18, No. 3, 1023–1040. (2021), https://doi.org/10.2298/CSIS201120032L

Identifying Key Node in Multi-region Opportunistic Sensor Network based on Improved TOPSIS
Linlan Liu, Wei Wang, Guirong Jiang and Jiang Zhang
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Liu, L., Wang, W., Jiang, G., Zhang, J.: Identifying Key Node in Multi-region Opportunistic Sensor Network based on Improved TOPSIS. Computer Science and Information Systems, Vol. 18, No. 3, 1041–1056. (2021), https://doi.org/10.2298/CSIS200620019L

Dynamic Fractional Chaotic Biometric Isomorphic Elliptic Curve for Partial Image Encryption
Ahmed Kamal, Esam A. A. Hagras and H. A. El-Kamchochi
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Kamal, A., Hagras, E. A. A., El-Kamchochi, H. A.: Dynamic Fractional Chaotic Biometric Isomorphic Elliptic Curve for Partial Image Encryption. Computer Science and Information Systems, Vol. 18, No. 3, 1057–1076. (2021), https://doi.org/10.2298/CSIS200502018K

Time-aware Collective Spatial Keyword Query
Zijun Chen, Tingting Zhao and Wenyuan Liu
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Chen, Z., Zhao, T., Liu, W.: Time-aware Collective Spatial Keyword Query. Computer Science and Information Systems, Vol. 18, No. 3, 1077–1100. (2021), https://doi.org/10.2298/CSIS200131034C

Conflict Resolution Using Relation Classification: High-Level Data Fusion in Data Integration
Zeinab Nakhaei, Ali Ahmadi, Arash Sharifi and Kambiz Badie
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Nakhaei, Z., Ahmadi, A., Sharifi, A., Badie, K.: Conflict Resolution Using Relation Classification: High-Level Data Fusion in Data Integration. Computer Science and Information Systems, Vol. 18, No. 3, 1101–1138. (2021), https://doi.org/10.2298/CSIS200131014N