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Mehmet S. Aktas
Mehmet Siddik Aktas
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2020 – today
- 2024
- [j29]Zafer Duzen
, Mirela Riveni
Analyzing Impact Dynamics of Misinformation Spread on X (Formerly Twitter) With a COVID-19 Dataset. IEEE Access 12: 165114-165129 (2024) - [c72]Hakan Hakvar
On the Use of Predictive Deep Learning Approaches in the Frequency and Uniqueness-Based Representation of Sequential Browsing Events. ICCSA (2) 2024: 83-100 - [c71]Amirkia Rafiei Oskooei
Can One Model Fit All? An Exploration of Wav2Lip's Lip-Syncing Generalizability Across Culturally Distinct Languages. ICCSA (Workshops 5) 2024: 149-164 - 2023
- [j28]Zafer Duzen
Analyzing the Spread of Misinformation on Social Networks: A Process and Software Architecture for Detection and Analysis. Comput. 12(11): 232 (2023) - [j27]Eren Duman, Mehmet S. Aktas, Ezgi Yahsi
Credit Risk Prediction Based on Psychometric Data. Comput. 12(12): 248 (2023) - [j26]Alper Tufek
On the provenance extraction techniques from large scale log files. Concurr. Comput. Pract. Exp. 35(15) (2023) - [j25]Ali Burak Can, Mounes Zaval, Meryem Uzun-Per
On the big data processing algorithms for finding frequent sequences. Concurr. Comput. Pract. Exp. 35(24) (2023) - [j24]Tolga Büyüktanir
Enhancing Accessibility to Data in Data-Intensive Web Applications by Using Intelligent Web Prefetching Methodologies. Int. J. Softw. Eng. Knowl. Eng. 33(9): 1405-1438 (2023) - [c70]Emrullah Gultekin, Mehmet S. Aktas:
Predictive Analytics in IoT and CPS: Enhancing Industrial Machinery Reliability through Sensor Data-Driven Remaining Useful Life Estimation. IEEE Big Data 2023: 2456-2465 - [c69]Dilan Bakir, Beytullah Yildiz, Mehmet S. Aktas:
Developing and Evaluating a Model-Based Metric for Legal Question Answering Systems. IEEE Big Data 2023: 2745-2754 - [c68]Zafer Duzen, Mirela Riveni, Mehmet S. Aktas:
Time-Dynamics of (Mis)Information Spread on Social Networks: A COVID-19 Case Study. COMPLEX NETWORKS (4) 2023: 156-167 - [c67]Emrullah Gultekin
Real-Time Anomaly Detection Business Process for Industrial Equipment Using Internet of Things and Unsupervised Machine Learning Algorithms. ICCSA (Workshops 5) 2023: 16-31 - [c66]Dilan Bakir
An Approach to Decentralized Hybrid Question Answering Systems. ICCSA (Workshops 9) 2023: 29-38 - [i3]Mehmet S. Aktas, Emina Soljanin:
Controlling Data Access Load in Distributed Systems. CoRR abs/2312.10360 (2023) - 2022
- [j23]Erdi Olmezogullari
Pattern2Vec: Representation of clickstream data sequences for learning user navigational behavior. Concurr. Comput. Pract. Exp. 34(9) (2022) - [j22]Nail Tasgetiren
On the distributed software architecture of a data analysis workflow: A case study. Concurr. Comput. Pract. Exp. 34(9) (2022) - [j21]Ilkay Melek Yazici
A novel visualization approach for data provenance. Concurr. Comput. Pract. Exp. 34(9) (2022) - [j20]Meryem Uzun-Per
Scalable recommendation systems based on finding similar items and sequences. Concurr. Comput. Pract. Exp. 34(20) (2022) - [j19]Ramazan Faruk Oguz, Izzettin Erdem, Erdi Olmezogullari, Mehmet S. Aktas
End-to-End Automated UI Testing Workflow for Web Sites with Intensive User-System Interactions. Int. J. Softw. Eng. Knowl. Eng. 32(10): 1477-1497 (2022) - [c65]Tolga Büyüktanir, Mehmet S. Aktas:
A Deep Learning-based Prefetching Approach to Enable Scalability for Data-intensive Applications. IEEE Big Data 2022: 2716-2721 - [c64]Dilan Bakir, Mehmet S. Aktas:
A Business Workflow For Providing Open-Domain Question Answering Reader Systems on The Wikipedia Dataset. IEEE Big Data 2022: 3308-3314 - [c63]Emrullah Gultekin, Mehmet S. Aktas:
A Business Workflow Architecture for Predictive Maintenance using Real-Time Anomaly Prediction On Streaming IoT Data. IEEE Big Data 2022: 4568-4575 - [c62]Emrullah Gultekin
Systematic Literature Review on Data Provenance in Internet of Things. ICCSA (Workshops 4) 2022: 31-46 - [c61]Tahir Enes Adak, Yunus Sahin, Mounes Zaval, Mehmet S. Aktas
Methodology for Product Recommendation Based on User-System Interaction Data: A Case Study on Computer Systems E-Commerce Web Site. ICCSA (Workshops 1) 2022: 35-46 - [c60]Dilan Bakir
A Systematic Literature Review of Question Answering: Research Trends, Datasets, Methods. ICCSA (Workshops 1) 2022: 47-62 - [c59]Zafer Duzen
Misinformation Detection in Social Networks: A Systematic Literature Review. ICCSA (Workshops 3) 2022: 57-74 - [c58]Tolga Büyüktanir
Mobile Prefetching and Web Prefetching: A Systematic Literature Review. ICCSA (Workshops 3) 2022: 75-89 - [c57]Mert Musaoglu, Merve Bekler, Hüseyin Budak, Celal Akçelik, Mehmet S. Aktas
On the Machine Learning Based Business Workflows Extracting Knowledge from Large Scale Graph Data. ICCSA (Workshops 5) 2022: 463-475 - [c56]Alper Tufek
A Systematic Literature Review on Numerical Weather Prediction Models and Provenance Data. ICCSA (Workshops 4) 2022: 616-627 - [c55]Nail Tasgetiren
Mining Web User Behavior: A Systematic Mapping Study. ICCSA (Workshops 1) 2022: 667-683 - [c54]Mounes Zaval, Said Orfan Haidari, Pinar Kosan, Mehmet S. Aktas
A Novel Approach to Recommendation System Business Workflows: A Case Study for Book E-Commerce Websites. ICCSA (Workshops 5) 2022: 692-708 - [c53]Ali Burak Can, Meryem Uzun-Per
A Novel Sequential Pattern Mining Algorithm for Large Scale Data Sequences. ICCSA (Workshops 1) 2022: 698-708 - [c52]Fatma Gizem Çalli, Çagdas Ayyildiz, Berke Kaan Açikgöz, Mehmet S. Aktas
An Approach to Business Workflow Software Architectures: A Case Study for Bank Account Transaction Type Prediction. ICCSA (Workshops 5) 2022: 709-723 - 2021
- [j18]Mert Oz, Caner Kaya, Erdi Olmezogullari, Mehmet S. Aktas
On the Use of Generative Deep Learning Approaches for Generating Hidden Test Scripts. Int. J. Softw. Eng. Knowl. Eng. 31(10): 1447-1468 (2021) - [j17]Mehmet S. Aktas, Gauri Joshi, Swanand Kadhe
Service Rate Region: A New Aspect of Coded Distributed System Design. IEEE Trans. Inf. Theory 67(12): 7940-7963 (2021) - [c51]Meryem Uzun-Per, Ali Burak Can, Ahmet Volkan Gürel
Big Data Testing Framework for Recommendation Systems in e-Science and e-Commerce Domains. IEEE BigData 2021: 2353-2361 - [c50]Izzettin Erdem, Ramazan Faruk Oguz, Erdi Olmezogullari, Mehmet S. Aktas
Test Script Generation Based on Hidden Markov Models Learning From User Browsing Behaviors. IEEE BigData 2021: 2998-3005 - [c49]Ramazan Faruk Oguz, Mert Oz, Erdi Olmezogullari, Mehmet Siddik Aktas
Extracting Information from Large Scale Graph Data: Case Study on Automated UI Testing. Euro-Par Workshops 2021: 364-375 - [c48]Tulin Boyar, Mert Oz, Ekin Oncu, Mehmet S. Aktas
A Novel Approach to Test Case Prioritization for Software Regression Tests. ICCSA (7) 2021: 201-216 - [c47]Özer Batu Kargili, Ahmet Okan Arik, Merve Bekler, Osman Uygar Köse, Mehmet S. Aktas
A Novel Distributed Software Architecture for Managing Customer Behavior Data: A Case Study in Banking Sector. ICCSA (Workshops) 2021: 211-217 - [c46]Emre Egriboz
Price Forecasting with Deep Learning in Business to Consumer Markets. ICCSA (6) 2021: 565-580 - [c45]Meryem Uzun-Per
An Approach to Recommendation Systems Using Scalable Association Mining Algorithms on Big Data Processing Platforms: A Case Study in Airline Industry. INISTA 2021: 1-6 - [c44]Ulku F. Gursoy, Enes M. Yildiz, M. Ergun Okay, Mehmet S. Aktas:
Customer Churn Prediction and Promotion Models in the Telecom Sector: A Case Study. IntelliSys (2) 2021: 276-286 - 2020
- [c43]Yasin Uygun, Ramazan Faruk Oguz, Erdi Olmezogullari, Mehmet S. Aktas
On the Large-scale Graph Data Processing for User Interface Testing in Big Data Science Projects. IEEE BigData 2020: 2049-2056 - [c42]Erdi Olmezogullari, Mehmet S. Aktas
Representation of Click-Stream DataSequences for Learning User Navigational Behavior by Using Embeddings. IEEE BigData 2020: 3173-3179 - [c41]Alper Tufek
On the Provenance Extraction Techniques from Large Scale Log Files: A Case Study for the Numerical Weather Prediction Models. Euro-Par Workshops 2020: 249-260 - [c40]Sergen Cansiz, Berk Sudan
Learning from Student Browsing Data on E-Learning Platforms: Case Study. FedCSIS (Position Papers) 2020: 37-44 - [c39]Kirubel W. Afrassa, Genco Cosgun, Ulku F. Gursoy, Enes M. Yildiz, Mehmet S. Aktas:
On the Community Discovery Methods for Complex Networks: A Case Study. FedCSIS 2020: 473-477 - [c38]Elçin Güveyi
Human Factor on Software Quality: A Systematic Literature Review. ICCSA (4) 2020: 918-930 - [c37]Elçin Güveyi, Mehmet S. Aktas
Impact of Personal Factors on Software Quality. UYMS 2020: 1-6 - [i2]Mehmet S. Aktas, Gauri Joshi, Swanand Kadhe, Fatemeh Kazemi, Emina Soljanin
Service Rate Region: A New Aspect of Coded Distributed System Design. CoRR abs/2009.01598 (2020)
2010 – 2019
- 2019
- [j16]Mehmet S. Aktas
Provenance aware run-time verification of things for self-healing Internet of Things applications. Concurr. Comput. Pract. Exp. 31(3) (2019) - [j15]Mohamed Jehad Baeth
Detecting misinformation in social networks using provenance data. Concurr. Comput. Pract. Exp. 31(3) (2019) - [j14]Mirela Riveni
Application of provenance in social computing: A case study. Concurr. Comput. Pract. Exp. 31(3) (2019) - [c36]Elif Cansu Yildiz, Engin Unal, Hakan Tüzün, Doruk Eren Aktas, Mehmet S. Aktas
On the RESTful Web Services for Managing Application Virtualization Environments. IEEE BigData 2019: 3881-3886 - [c35]Ahmet Gürbüz, Mehmet S. Aktas
Prediction of Purchase Intention on the E-Commerce Clickstream Data. SIU 2019: 1-4 - [c34]Ramazan Faruk Oguz, Yasin Uygun, Mehmet S. Aktas
On the Use of Technical Analysis Indicators for Stock Market Price Movement Direction Prediction. SIU 2019: 1-4 - 2018
- [j13]Mehmet S. Aktas
Hybrid cloud computing monitoring software architecture. Concurr. Comput. Pract. Exp. 30(21) (2018) - [j12]Mohamed Jehad Baeth
An approach to custom privacy policy violation detection problems using big social provenance data. Concurr. Comput. Pract. Exp. 30(21) (2018) - [j11]Didem Unat
Special issue on High performance computing conference (BASARIM-2017). Concurr. Comput. Pract. Exp. 30(21) (2018) - [c33]Mustafa Bayraktar, Mehmet S. Aktas
Credit risk analysis with classification Restricted Boltzmann Machine. SIU 2018: 1-4 - [c32]Alper Tufek
Provenance Collection Platform for the Weather Research and Forecasting Model. SKG 2018: 17-24 - [c31]Ilkay Melek Yazici, Erkan Karabulut
A Data Provenance Visualization Approach. SKG 2018: 84-91 - 2017
- [c30]Mehmet S. Aktas
On the service capacity region of accessing erasure coded content. Allerton 2017: 17-24 - [c29]Mehmet S. Aktas
Implementation of Analytical Hierarchy Process in Detecting Structural Code Clones. ICCSA (5) 2017: 652-664 - [c28]Mirela Riveni
Provenance in Social Computing: A Case Study. SKG 2017: 77-84 - [c27]Mohamed Jehad Baeth, Mehmet S. Aktas
Detecting Misinformation in Social Networks Using Provenance Data. SKG 2017: 85-89 - [c26]Merve Pinar, Orhan Okumus, Umut Orçun Turgut, Oya Kalipsiz, Mehmet S. Aktas:
Buyuk Veri Iceren Oneri Sistemleri Icin Hiperparametre Optimizasyonu(Hyperparameter Optimization for Recommendation Systems with Big Data). UYMS 2017: 260-272 - [c25]Yunus Emre Demirbulut, Mehmet S. Aktas, Oya Kalipsiz, Selçuk Bayraci:
Istatistiksel ve Makine Ogrenimi Yontemleriyle Kredi Skorlama(Credit Scoring With Statistical And Machine Learning Methods). UYMS 2017: 273-284 - [i1]Mehmet S. Aktas, Sarah E. Anderson, Ann Johnston, Gauri Joshi, Swanand Kadhe, Gretchen L. Matthews, Carolyn Mayer, Emina Soljanin:
On the Service Capacity Region of Accessing Erasure Coded Content. CoRR abs/1710.03376 (2017) - 2016
- [j10]Mehmet S. Aktas
Structural Code Clone Detection Methodology Using Software Metrics. Int. J. Softw. Eng. Knowl. Eng. 26(2): 307-332 (2016) - [c24]Koray Inçki, Mehmet S. Aktas
Improving Awareness in Ambient-Assisted Living Systems: Consolidated Data Stream Processing. HealthyIoT 2016: 89-94 - [c23]Zafer Duzen
An approach to hybrid personalized recommender systems. INISTA 2016: 1-8 - [c22]Yucel Tas, Mohamed Jehad Baeth, Mehmet S. Aktas
An Approach to Standalone Provenance Systems for Big Social Provenance Data. SKG 2016: 9-16 - [c21]Bahadir Dundar, Merve Astekin
A Big Data Processing Framework for Self-Healing Internet of Things Applications. SKG 2016: 62-68 - [c20]Sevnur Tatar, Sefik Temel, Mehmet Siddik Aktas, Oya Kalipsiz:
Bankacilik Uygulamalarinin Insan Bilgisayar Etkilesimi Standartlari Kullanilarak Iyilestirilmesi. UYMS 2016: 400-407 - [c19]Nevzat Ekmekçi, Özge Yücel Kasap, Utku Görkem Ketenci, Oya Kalipsiz, Mehmet Siddik Aktas:
Cok Yanitli Dogrusal Regresyon Algoritmasiyla Lojistik Regresyon ve Birliktelik Kurali Sonuclarinin Birlestirilmesi. UYMS 2016: 611-622 - 2015
- [c18]Mehmet Sahinoglu, Koray Inçki, Mehmet S. Aktas
Mobile Application Verification: A Systematic Mapping Study. ICCSA (5) 2015: 147-163 - [c17]Mohamed Jehad Baeth, Mehmet S. Aktas
On the Detection of Information Pollution and Violation of Copyrights in the Social Web. SOCA 2015: 252-254 - [c16]S. Said Aydogan, Esat E. Demirel, Utku Görkem Ketenci, Mehmet S. Aktas, Ihsan Helvacioglu, Oya Kalipsiz:
İlişkisel Veri Tabanı Sistemlerinde İşlem Yönetimi ve Büyük Verinin Saklanması. UYMS 2015 - [c15]Sider Hazal Kirtay, Nevzat Ekmekçi, Tugba Halici, Utku Görkem Ketenci, Mehmet S. Aktas, Oya Kalipsiz:
Pazar Sepet Analizi için Örneklem Oluşturulması ve Birliktelik Kurallarının Çıkartılması. UYMS 2015 - [c14]Betül Yazici, Fethiye Yasli, Hande Yildiz Gürleyik, Umut Orçun Turgut, Mehmet S. Aktas, Oya Kalipsiz:
Veri Madenciliğinde Özellik Seçim Tekniklerinin Bankacılık Verisine Uygulanması Üzerine Araştırma ve Karşılaştırmalı Uygulama. UYMS 2015 - 2014
- [j9]Peng Chen, Beth Plale
Temporal representation for mining scientific data provenance. Future Gener. Comput. Syst. 36: 363-378 (2014) - [c13]Mustafa Kapdan
On the Structural Code Clone Detection Problem: A Survey and Software Metric Based Approach. ICCSA (5) 2014: 492-507 - [c12]Sefik Temel, Umut Orçun Turgut, Volkan Halil Bagci, Mehmet Siddik Aktas:
Kullanıcı Arayüzü Tasarımlarının Üst Düzey Programlama Dillerine Dönüştürülmesine Bir Yaklaşım. UYMS 2014 - 2013
- [j8]Scott Jensen, Beth Plale
Provenance Capture and Use in a Satellite Data Processing Pipeline. IEEE Trans. Geosci. Remote. Sens. 51(11): 5090-5097 (2013) - [c11]Mustafa Kapdan, Mehmet S. Aktas, Melike Yigit:
Yapısal Kod Klon Analizinde Metrik Tabanlı Teknikler. UYMS 2013 - 2012
- [c10]Peng Chen, Beth Plale
Temporal representation for scientific data provenance. eScience 2012: 1-8 - 2011
- [c9]Cagatay Catal, Mehmet S. Aktas:
A Composite Project Effort Estimation Approach in an Enterprise Software Development Project. SEKE 2011: 331-334 - 2010
- [j7]Mehmet S. Aktas
High-performance hybrid information service architecture. Concurr. Comput. Pract. Exp. 22(15): 2095-2123 (2010) - [j6]Sangyoon Oh, Mehmet S. Aktas
Mobile Web Service Architecture Using Context-store. KSII Trans. Internet Inf. Syst. 4(5): 836-858 (2010) - [j5]Mehmet S. Aktas
A Federated Approach to Information Management in Grids. Int. J. Web Serv. Res. 7(1): 65-98 (2010)
2000 – 2009
- 2008
- [j4]Mehmet S. Aktas
XML Metadata Services. Concurr. Comput. Pract. Exp. 20(7): 801-823 (2008) - [j3]Galip Aydin, Ahmet Sayar
Building and applying geographical information system Grids. Concurr. Comput. Pract. Exp. 20(14): 1653-1695 (2008) - [c8]Mehmet S. Aktas
Information Federation in Grids. SKG 2008: 109-116 - 2007
- [j2]Mehmet A. Nacar, Mehmet S. Aktas
VLab: collaborative Grid services and portals to support computational material science. Concurr. Comput. Pract. Exp. 19(12): 1717-1728 (2007) - [j1]Mehmet S. Aktas
Fault tolerant high performance Information Services for dynamic collections of Grid and Web services. Future Gener. Comput. Syst. 23(3): 317-337 (2007) - 2006
- [c7]Mehmet S. Aktas
XML Metadata Services. SKG 2006: 31 - 2005
- [c6]Galip Aydin, Mehmet S. Aktas
SERVOGrid complexity computational environments (CCE) integrated performance analysis. GRID 2005: 256-261 - [c5]Geoffrey C. Fox, Mehmet S. Aktas
Grids for Real Time Data Applications. PPAM 2005: 320-332 - [c4]Geoffrey C. Fox, Mehmet S. Aktas
Building Sensor Filter Grids: Information Architecture for the Data Deluge. SKG 2005: 2 - [c3]Mehmet S. Aktas
Information Services for Dynamically Assembled Semantic Grids. SKG 2005: 10 - 2004
- [c2]Mehmet S. Aktas
A Web based Conversational Case-Based Recommender System for Ontology aided Metadata Discovery. GRID 2004: 69-75 - [c1]Mehmet S. Aktas
Using Hyperlink Features to Personalize Web Search. WebKDD 2004: 104-115
Coauthor Index
Geoffrey C. Fox
aka: Geoffrey Charles Fox
aka: Geoffrey Charles Fox
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last updated on 2024-12-02 21:29 CET by the dblp team
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