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ORCIDMehmed M. Kantardzic
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- affiliation: University of Louisville, Data Mining Lab, KY, USA
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2020 – today
- 2024
[j27]Hanqing Hu, Mehmed M. Kantardzic, Shreyas Kar:
Explainable data stream mining: Why the new models are better. Intell. Decis. Technol. 18(1): 371-385 (2024)- [c73]Hui-Chih Wang, Rachael Oluwayemisi Ehianeta, Chun-Ling Lin, Kuo-Chung Shang, Mehmed M. Kantardzic, Hersen Doong, Chih-Hung Chung:
Intertitles and Attention in Social Media Video Advertisements: An Exploration of EEG Viewpoints. PACIS 2024 - 2022
- [j26]Abdulgani Kahraman
, Mehmed M. Kantardzic, Muhammed Kotan:
Dynamic Modeling With Integrated Concept Drift Detection for Predicting Real-Time Energy Consumption of Industrial Machines. IEEE Access 10: 104622-104635 (2022) - [c72]Mehmet Akif Gulum, Christopher M. Trombley, Merve Ozen, Mehmed M. Kantardzic:
Are Post-Hoc Explanation Methods for Prostate Lesion Detection Effective for Radiology End Use? ICMLA 2022: 1183-1189 - [c71]Christopher M. Trombley, Mehmet Akif Gulum, Merve Ozen, Enes Esen, Melih Aksamoglu, Mehmed M. Kantardzic:
Evaluating Uncertainty-Based Deep Learning Explanations for Prostate Lesion Detection. MLHC 2022: 874-891 - [e5]M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Daniel Neagu, Longzhi Yang, Kit Yan Chan:
21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022. IEEE 2022, ISBN 978-1-6654-6283-9 [contents] - 2021
- [j25]Hanqing Hu, Mehmed M. Kantardzic:
Heuristic ensemble for unsupervised detection of multiple types of concept drift in data stream classification. Intell. Decis. Technol. 15(4): 609-622 (2021) - [j24]Jiashun Chen, Hao Zhang, Dechang Pi, Mehmed M. Kantardzic, Qi Yin, Xin Liu:
A Weight Possibilistic Fuzzy C-Means Clustering Algorithm. Sci. Program. 2021: 9965813:1-9965813:10 (2021) - [c70]Mehmet Akif Gulum, Christopher M. Trombley, Mehmed M. Kantardzic:
Improved Deep Learning Explanations for Prostate Lesion Classification through Grad-CAM and Saliency Map Fusion. CBMS 2021: 498-502 - 2020
- [j23]Hanqing Hu, Mehmed M. Kantardzic, Tegjyot Singh Sethi:
No Free Lunch Theorem for concept drift detection in streaming data classification: A review. WIREs Data Mining Knowl. Discov. 10(2) (2020) - [c69]Mehmet A. Gulum, Christopher M. Trombley, Mehmed M. Kantardzic:
Multiple Interpretations Improve Deep Learning Transparency for Prostate Lesion Detection. Poly/DMAH@VLDB 2020: 120-137
2010 – 2019
- 2019
- [j22]Lingyu Lyu, Mehmed M. Kantardzic, Tegjyot Singh Sethi:
Sloppiness mitigation in crowdsourcing: detecting and correcting bias for crowd scoring tasks. Int. J. Data Sci. Anal. 7(3): 179-199 (2019) - 2018
- [j21]Tegjyot Singh Sethi, Mehmed M. Kantardzic:
Handling adversarial concept drift in streaming data. Expert Syst. Appl. 97: 18-40 (2018) - [j20]Tegjyot Singh Sethi, Mehmed M. Kantardzic:
Data driven exploratory attacks on black box classifiers in adversarial domains. Neurocomputing 289: 129-143 (2018) - [j19]Tegjyot Singh Sethi, Mehmed M. Kantardzic:
When Good Machine Learning Leads to Bad Security: Big Data (Ubiquity symposium). Ubiquity 2018(May): 1:1-1:14 (2018) - [j18]Tegjyot Singh Sethi, Mehmed M. Kantardzic, Lingyu Lyu, Jiashun Chen:
A dynamic-adversarial mining approach to the security of machine learning. WIREs Data Mining Knowl. Discov. 8(3) (2018) - [c68]Jason Turner, Mehmed M. Kantardzic:
Twitter Query Expansion via Word2Vec-Urban Dictionary Model. ICCBD 2018: 43-46 - [c67]Hanqing Hu, Mehmed M. Kantardzic, Lingyu Lyu:
Detecting Different Types of Concept Drifts with Ensemble Framework. ICMLA 2018: 344-350 - [c66]Lingyu Lyu, Mehmed M. Kantardzic, Hanqing Hu:
Worker Filtering with Limited Supervision in Crowdsourcing Systems. ICMLA 2018: 802-807 - [e4]M. Arif Wani, Mehmed M. Kantardzic, Moamar Sayed Mouchaweh, João Gama, Edwin Lughofer:
17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, Orlando, FL, USA, December 17-20, 2018. IEEE 2018, ISBN 978-1-5386-6805-4 [contents] - [i9]Tegjyot Singh Sethi, Mehmed M. Kantardzic:
Handling Adversarial Concept Drift in Streaming Data. CoRR abs/1803.09160 (2018) - [i8]Tegjyot Singh Sethi, Mehmed M. Kantardzic, Lingyu Lyu, Jiashun Chen:
A Dynamic-Adversarial Mining Approach to the Security of Machine Learning. CoRR abs/1803.09162 (2018) - [i7]Tegjyot Singh Sethi, Mehmed M. Kantardzic, Joung Woo Ryu:
Security Theater: On the Vulnerability of Classifiers to Exploratory Attacks. CoRR abs/1803.09163 (2018) - 2017
- [j17]Tegjyot Singh Sethi, Mehmed M. Kantardzic:
On the reliable detection of concept drift from streaming unlabeled data. Expert Syst. Appl. 82: 77-99 (2017) - [j16]Elaheh Arabmakki, Mehmed M. Kantardzic:
SOM-based partial labeling of imbalanced data stream. Neurocomputing 262: 120-133 (2017) - [c65]Hanqing Hu, Mehmed M. Kantardzic:
Sliding Reservoir Approach for Delayed Labeling in Streaming Data Classification. HICSS 2017: 1-10 - [c64]Mehmed M. Kantardzic, Jozef M. Zurada:
Introduction to Streaming Data Analytics and Applications Minitrack. HICSS 2017: 1 - [c63]Elaheh Arabmakki, Mehmed M. Kantardzic, Tegjyot Singh Sethi:
A partial labeling framework for multi-class imbalanced streaming data. IJCNN 2017: 1018-1025 - [c62]Tegjyot Singh Sethi, Mehmed M. Kantardzic, Joung Woo Ryu:
'Security Theater': On the Vulnerability of Classifiers to Exploratory Attacks. PAISI 2017: 49-63 - [i6]Tegjyot Singh Sethi, Mehmed M. Kantardzic:
Data Driven Exploratory Attacks on Black Box Classifiers in Adversarial Domains. CoRR abs/1703.07909 (2017) - [i5]Lingyu Lyu, Mehmed M. Kantardzic:
Evaluating Complex Task through Crowdsourcing: Multiple Views Approach. CoRR abs/1703.10579 (2017) - [i4]Tegjyot Singh Sethi, Mehmed M. Kantardzic:
On the Reliable Detection of Concept Drift from Streaming Unlabeled Data. CoRR abs/1704.00023 (2017) - 2016
- [j15]Tegjyot Singh Sethi, Mehmed M. Kantardzic, Hanqing Hu:
A grid density based framework for classifying streaming data in the presence of concept drift. J. Intell. Inf. Syst. 46(1): 179-211 (2016) - [j14]Mehmed M. Kantardzic:
Editorial. Trans. Mach. Learn. Data Min. 9(1): 1-2 (2016) - [c61]Mehmed M. Kantardzic, Jozef M. Zurada:
Introduction to Streaming Data Analytics and Applications Minitrack. HICSS 2016: 1729 - [c60]Hanqing Hu, Mehmed M. Kantardzic:
Smart Preprocessing Improves Data Stream Mining. HICSS 2016: 1749-1757 - [c59]Tegjyot Singh Sethi, Mehmed M. Kantardzic, Elaheh Arabmakki:
Monitoring Classification Blindspots to Detect Drifts from Unlabeled Data. IRI 2016: 142-151 - [c58]Elaheh Arabmakki, Mehmed M. Kantardzic, Tegjyot Singh Sethi:
Ensemble Classifier for Imbalanced Streaming Data Using Partial Labeling. IRI 2016: 257-260 - [c57]Christopher J. Lowrance, Adrian P. Lauf, Mehmed M. Kantardzic:
A fuzzy-based machine learning model for robot prediction of link quality. SSCI 2016: 1-8 - 2015
- [c56]Emrah Bilgic, Mehmed M. Kantardzic, Ozgur Cakir:
Retail Store Segmentation for Target Marketing. ICDM 2015: 32-44 - [c55]Tegjyot Singh Sethi, Mehmed M. Kantardzic:
Don't Pay for Validation: Detecting Drifts from Unlabeled data Using Margin Density. INNS Conference on Big Data 2015: 103-112 - 2014
- [c54]Lingyu Lyu, Mehmed M. Kantardzic, Elaheh Arabmakki:
Solar irradiance forecasting by using wavelet based denoising. CIES 2014: 110-116 - [c53]Tegjyot Singh Sethi, Mehmed M. Kantardzic, Elaheh Arabmakki, Hanqing Hu:
An ensemble classification approach for handling spatio-temporal drifts in partially labeled data streams. IRI 2014: 725-732 - [c52]Elaheh Arabmakki, Mehmed M. Kantardzic, Tegjyot Singh Sethi:
RLS-A reduced labeled samples approach for streaming imbalanced data with concept drift. IRI 2014: 779-786 - 2013
- [c51]Hanqing Hu, Mehmed M. Kantardzic, Tegjyot Singh Sethi:
Selecting samples for labeling in unbalanced streaming data environments. ICAT 2013: 1-7 - [c50]Brent Wenerstrom, Elaheh Arabmakki, Mehmed M. Kantardzic, Musa Hindi:
Flu Outbreak Detection Using Summarized Twitter Messages. MDA 2013: 24-36 - 2012
- [j13]Chamila Walgampaya, Mehmed M. Kantardzic, Brent Wenerstrom:
Duplicate detection in pay-per-click streams using temporal stateful Bloom filters. Int. J. Data Anal. Tech. Strateg. 4(4): 340-377 (2012) - [c49]Brent Wenerstrom, Mehmed M. Kantardzic, Elaheh Arabmakki, Musa Hindi:
Multi-Tweet Summarization for Flu Outbreak Detection. AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text 2012 - [c48]Joung Woo Ryu, Mehmed M. Kantardzic, Myung-Won Kim, Ara Ra Khil:
An Efficient Method of Building an Ensemble of Classifiers in Streaming Data. BDA 2012: 122-133 - [c47]Brent Wenerstrom, Mehmed M. Kantardzic:
Search Result Summaries Improved by Structure and Multimedia. KDIR 2012: 181-186 - [c46]Joung Woo Ryu, Mehmed M. Kantardzic, Myung-Won Kim:
Efficiently Maintaining the Performance of an Ensemble Classifier in Streaming Data. ICHIT (1) 2012: 533-540 - 2011
- [j12]Brent Wenerstrom, Mehmed M. Kantardzic:
ReClose: web page summarization combining summary techniques. Int. J. Web Inf. Syst. 7(4): 333-359 (2011) - [c45]Anala Aniruddha Pandit, Mehmed M. Kantardzic:
New hierarchical model using SOM improves accuracy of classifiers for multiclass data sets. ICAT 2011: 1-6 - [c44]Wael Emara, Mehmed M. Kantardzic:
Efficient Approximate Semi-supervised Support Vector Machines through Submodular Optimization. ICMLA (1) 2011: 339-345 - [c43]Wael Emara, Chamila Walgampaya, Mehmed M. Kantardzic:
Validation of Click Fraud Detection Models. MLDM Posters 2011: 66-71 - [c42]Brent Wenerstrom, Mehmed M. Kantardzic:
Enhanced Visualization for Web-Based Summaries. VLDS 2011: 40-45 - [c41]Chamila Walgampaya, Mehmed M. Kantardzic:
Cracking the Smart ClickBot. WSE 2011: 125-134 - [i3]Wael Emara, Mehmed M. Kantardzic:
Submodular Optimization for Efficient Semi-supervised Support Vector Machines. CoRR abs/1107.5236 (2011) - 2010
- [c40]Brent Wenerstrom, Mehmed M. Kantardzic:
Sentence Ranking for Search Document Summarization Based on the Wisdom of Three Search Engines. International Conference on Internet Computing 2010: 277-283 - [c39]Mehmed M. Kantardzic, Joung Woo Ryu, Chamila Walgampaya:
Building a New Classifier in an Ensemble Using Streaming Unlabeled Data. IEA/AIE (2) 2010: 77-86 - [c38]Mehmed M. Kantardzic, Chamila Walgampaya, Roman Yampolskiy, Joung Woo Ryu:
Click Fraud Prevention via multimodal evidence fusion by Dempster-Shafer theory. MFI 2010: 26-31
2000 – 2009
- 2009
- [j11]Mehmed M. Kantardzic, Pedram Sadeghian:
Fractal analysis of semantically distributed data. Int. J. Gen. Syst. 38(1): 73-91 (2009) - [c37]Dar-Jen Chang, Mehmed M. Kantardzic, Ming Ouyang:
Hierarchical Clustering with CUDA/GPU. PDCCS 2009: 7-12 - [c36]Wael Emara, Mehmed M. Kantardzic:
The locality of RBF-SVM for incremental learning. CIDM 2009: 355-362 - [c35]Wael Emara, Mehmed M. Kantardzic:
How much Locality is Needed for Incremental RBF-SVM Learning? IC-AI 2009: 954-959 - [c34]Wael Emara, Mehmed M. Kantardzic:
Local properties of RBF-SVM during training for incremental learning. IJCNN 2009: 779-786 - [e3]M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Lukasz A. Kurgan, Yuan (Alan) Qi:
International Conference on Machine Learning and Applications, ICMLA 2009, Miami Beach, Florida, USA, December 13-15, 2009. IEEE Computer Society 2009, ISBN 978-0-7695-3926-3 [contents] - 2008
- [j10]Robert Fuller, Mehmed M. Kantardzic:
Distributed Monitoring of Frequent Items. Trans. Mach. Learn. Data Min. 1(2): 67-82 (2008) - [j9]Pedram Sadeghian, Mehmed M. Kantardzic:
The New Generation of Automatic Landmark Detection Systems: Challenges and Guidelines. Spatial Cogn. Comput. 8(3): 252-287 (2008) - [c33]Wael Emara, Mehmed M. Kantardzic:
Incremental Learning Using Partly Labeled Data. CATA 2008: 1-8 - [c32]Abraham George, Sherif Rashad, Anup Kumar, Mehmed M. Kantardzic:
A predictive handoff scheme for multi-hop heterogeneous wireless networks. COMSWARE 2008: 545-550 - [e2]M. Arif Wani, Mehmed M. Kantardzic, Tao Li, Ying Liu, Lukasz A. Kurgan, Jieping Ye, Mitsunori Ogihara, Seref Sagiroglu, Xue-wen Chen, Leif E. Peterson, Khalid Hafeez:
The Sixth International Conference on Machine Learning and Applications, ICMLA 2007, Cincinnati, Ohio, USA, 13-15 December 2007. IEEE Computer Society 2008, ISBN 0-7695-3069-9 [contents] - 2007
- [c31]Viktoria Rojkova, Mehmed M. Kantardzic:
Indicators of Network-Wide Traffic Dynamics: Random Matrix Theory Approach. CAINE 2007: 97-102 - [c30]Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar:
MSP-CACRR: Multidimensional Sequential Patterns Based Call Admission Control and Resource Reservation for Next-Generation Wireless Cellular Networks. CIDM 2007: 552-559 - [c29]Mehmed M. Kantardzic, John Gant:
Mining Sequences in Distributed Sensors Data for Energy Production. FLAIRS 2007: 484-489 - [c28]Wael Emara, Mehmed M. Kantardzic, Marcel Karnstedt, Kai-Uwe Sattler, Dirk Habich, Wolfgang Lehner:
An Approach for Incremental Semi-supervised SVM. ICDM Workshops 2007: 539-544 - [c27]Viktoria Rojkova, Mehmed M. Kantardzic:
Feature extraction using random matrix theory approach. ICMLA 2007: 410-416 - [c26]Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar:
PAC-WHN: Predictive Admission Control for Wireless Heterogeneous Networks. ISCC 2007: 139-144 - [c25]Robert Fuller, Mehmed M. Kantardzic:
FIDS: Monitoring Frequent Items over Distributed Data Streams. MLDM 2007: 464-478 - [c24]Mehmed M. Kantardzic, Pedram Sadeghian:
Personalized Previews of Alternative Routes in Virtual Environments. User Modeling 2007: 167-176 - [i2]Viktoria Rojkova, Mehmed M. Kantardzic:
Analysis of Inter-Domain Traffic Correlations: Random Matrix Theory Approach. CoRR abs/0706.2520 (2007) - [i1]Viktoria Rojkova, Mehmed M. Kantardzic:
Delayed Correlations in Inter-Domain Network Traffic. CoRR abs/0707.1083 (2007) - 2006
- [j8]Pedram Sadeghian, Mehmed M. Kantardzic, Oleksandr Lozitskiy, Walaa M. Sheta:
The frequent wayfinding-sequence (FWS) methodology: Finding preferred routes in complex virtual environments. Int. J. Hum. Comput. Stud. 64(4): 356-374 (2006) - [j7]Anup Kumar, Mehmed M. Kantardzic, Samuel Madden:
Guest Editors' Introduction: Distributed Data Mining--Framework and Implementations. IEEE Internet Comput. 10(4): 15-17 (2006) - [j6]Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar:
User mobility oriented predictive call admission control and resource reservation for next-generation mobile networks. J. Parallel Distributed Comput. 66(7): 971-988 (2006) - [c23]Kemal Taljanovic, Mehmed M. Kantardzic:
Computer-aided item selection for the cycle counting procedure. CAINE 2006: 48-53 - [c22]Chamila Walgampaya, Mehmed M. Kantardzic:
Cost-Sensitive Analysis in Multiple Time Series Prediction. DMIN 2006: 17-23 - [c21]Chamila Walgampaya, Mehmed M. Kantardzic:
Selection of Distributed Sensors for Multiple Time Series Prediction. IJCNN 2006: 3152-3158 - [c20]Ruck Thawonmas, Masayoshi Kurashige, Keita Iizuka, Mehmed M. Kantardzic:
Clustering of Online Game Users Based on Their Trails Using Self-organizing Map. ICEC 2006: 366-369 - [c19]Pedram Sadeghian, Mehmed M. Kantardzic, Oleksandr Lozitskiy, Yuriy Lozitskiy:
Route Previews: Enhancing the Route Selection. VR 2006: 285-286 - [c18]Pedram Sadeghian, Mehmed M. Kantardzic, Oleksandr Lozitskiy, Yuriy Lozitskiy:
Preview of recommended routes in large-scale virtual environments. VRCIA 2006: 35-42 - 2005
- [j5]Adel Said Elmaghraby, Anup Kumar, Mehmed M. Kantardzic, Mostafa Gamal Mostafa:
A Scalable Pricing Model for Bandwidth Allocation. Electron. Commer. Res. 5(2): 203-227 (2005) - [c17]Li Ge, Mehmed M. Kantardzic, Darren King:
CCFDP: Collaborative Click Fraud Detection and Prevention System. CAINE 2005: 366-371 - [c16]Pedram Sadeghian, Mehmed M. Kantardzic, Oleksandr Lozitskiy, Walaa M. Sheta:
Route Recommendations: Navigation Assistance in Complex Virtual Environments. CATA 2005: 220-225 - [c15]Antonio Badia, Mehmed M. Kantardzic:
Link Analysis Tools for Intelligence and Counterterrorism. ISI 2005: 49-59 - [c14]Antonio Badia, Mehmed M. Kantardzic:
Graph building as a mining activity: finding links in the small. LinkKDD 2005: 17-24 - 2004
- [c13]Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar:
A Data Mining Approach for Call Admission Control and Resource Reservation in Wireless Mobile Networks. ICDM 2004: 134-143 - [c12]Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar:
Mobile data mining for radio resource management in wireless mobile networks. ICMLA 2004: 85-92 - [c11]Anup Kumar, Mehmed M. Kantardzic, Padmanabhan Ramaswamy, Pedram Sadeghian:
An extensible service oriented distributed data mining framework. ICMLA 2004: 256-263 - [c10]Mehmed M. Kantardzic, Pedram Sadeghian, Chun Shen:
The time diversification monitoring of a stock portfolio: an approach based on the fractal dimension. SAC 2004: 637-641 - [e1]Mehmed M. Kantardzic, Mariofanna G. Milanova, Olfa Nasraoui:
Proceedings of the 2004 International Conference on Machine Learning and Applications - ICMLA 2004, 16-18 December 2004, Louisville, KY, USA. IEEE Computer Society 2004, ISBN 0-7803-8823-2 [contents] - 2003
- [c9]Mehmed M. Kantardzic, Antonio Badia:
Efficient Implementation of Strong Negative Association Rules. ICMLA 2003: 152-158 - [c8]Mehmed M. Kantardzic, Anup Kumar:
Toward Autonomic Distributed Data Mining with Intelligent Web Services. IKE 2003: 544-552 - 2002
- [c7]Donald Anderson, Morris Belknap, Dennis Jacobi, Xiaohui Cui, Rammohan K. Ragade, Mehmed M. Kantardzic, Adel Said Elmaghraby:
A Distributed Agent Architecture for Human Operations in Space. IS 2002: 71-76 - [c6]Adel Said Elmaghraby, Anup Kumar, Mehmed M. Kantardzic, Mostafa Gamal Mostafa:
Bandwidth allocation in a dynamic environment using a variable pricing policy. ISCC 2002: 589-594 - 2001
- [j4]Mehmed M. Kantardzic, Anna Goldenberg, Troy E. Howe, Peter Faguy:
Artificial neural network approach to data analysis and parameter estimation in experimental spectroscopy. Informatica (Slovenia) 25(1) (2001) - [j3]Mehmed M. Kantardzic, Hazem M. Hamdan, Benjamin Djulbegovic:
Artificial Neural Networks (ANN) Approach in Diagnostics of Polycythemia Vera. Int. J. Comput. Their Appl. 8(2) (2001) - [c5]Mehmed M. Kantardzic, Resad P. Pasic, Claire Templeman, Ronald Levine:
Data Mining Approach in a Selection of Laparoscopic Techniques. IS 2001: 1-4 - 2000
- [c4]Mehmed M. Kantardzic, Hazem M. Hamdan, Benjamin Djulbegovic:
Artificial Neural Networks Approach in Diagnostics of Polycythemia Vera. IS 2000: 13-18 - [c3]Mehmed M. Kantardzic, Hazem M. Hamdan, Benjamin Djulbegovic, Adel Said Elmaghraby:
New diagnostic criteria for polycythemia rubra vera: Artificial neural network approach. CATA 2000: 408-411
1990 – 1999
- 1999
- [j2]Mehmed M. Kantardzic, A. A. Aly, Adel Said Elmaghraby:
Visualization of neural-network gaps based on error analysis. IEEE Trans. Neural Networks 10(2): 419-426 (1999) - 1997
- [j1]Mehmed M. Kantardzic, Adel Said Elmaghraby:
Logic-Oriented Model Of Artificial Neural Networks. Inf. Sci. 101(1-2): 85-107 (1997) - 1991
- [c2]Mehmed M. Kantardzic, Vensada Okanovic, Selma Rizvic, A. Filipovic, H. Glavic:
Temporal and Spatial Data and Default Assumptions in Dipsy-E Systems. AI*IA 1991: 410-414 - 1990
- [c1]Mehmed M. Kantardzic, M. Jeftovic, H. Glavic, A. Filipovic, D. Gajic, N. Milicic:
A Comprehensive Environment for Computer Aid in Technical Security System Design. DEXA 1990: 417-420
Coauthor Index
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