spatio-temporal data mining

Spatiotemporal data are data that relate to both space and time. Spatiotemporal data mining refers to the process of discovering patterns and knowledge from spatiotemporal data. We at KDDM research group have been actively doing research in this area and have published our findings at prestigious venues. Listed below are our selected publications from the "Spatio-Temporal Data Mining" area only. Please click here for complete list of KDDM research group's publications.

Book

1. M. Mushtaq, H. T. Mirza, A. Ahmad (2015), "Developing Trust in Ride Sharing System", LAP Lambert Academic Publishing. Paperback. pp: 1-144. Standard: 3659663034 (External URL)

Journal Publications

1. I. Memon, H. T. Mirza, Q. A. Arain, H. Memon (2019), "Multiple mix zones de-correlation trajectory privacy model for road network", Telecommunication Systems, Springer, pp: 557-582, Vol: 70, Issue: 4, ISSN: 1018-4864, DOI: https://doi.org/10.1007/s11235-019-00551-1, Impact Factor: 1.71 (External URL)

2. I. Memon, H. T. Mirza (2018), "MADPTM: Mix zones and Dynamic Pseudonyms Trust Management system for Location Privacy", International Journal of Communication Systems (IJCS), Wiley, pp: e3795, Vol: 31, Issue: 17, ISSN: 1099-1131, DOI: https://doi.org/10.1002/dac.3795, Impact Factor: 1.717  (External URL)

3. A. Majid, L. Chen, H.T. Mirza, I. Hussain, G. Chen (2015), "A system for mining interesting tourist locations and travel sequences from public geo-tagged photos", Data & Knowledge Engineering (DKE). Elsevier, pp: 66-86, Vol: 95, Standard: 0169-023X, Impact Factor: 2.131. *** BEST PAPER AWARD *** (External URL)

4. A. Majid, L. Chen, G. Chen, H. T. Mirza, I. Hussain and J. Woodward (2013), "A context-aware personalized travel recommendation system based on geotagged social media data mining", International Journal of Geographical Information Science, Taylor & Francis, pp: 662-684, Vol: 27, Issue: 4, Standard: 1365-8816 (Print), 1362-3087 (Online), Impact Factor: 2.502 (External URL)

5. M. Mushtaq, A. Ahmad, H. T. Mirza, I. Hussain (2014), "A Trust Development Model in Dynamic Ridesharing", JAEBS, pp: 22-40, Vol: 4, Issue: 12, Standard: 2090-4274 (External URL)

6. M. Mushtaq, A. Ahmad, H. T. Mirza, I. Hussain (2014), "Formal Verification and Implementation for Developing Trust in Ride Share Systems", JAEBS, pp: 192-202, Vol: 4, Issue: 12, Standard: 2090-4274 (External URL)

7. S. Arshad, H. T. Mirza, I. Hussain (2015), "A New Method for Optimization of Dynamic Ride Sharing System", JAEBS, pp: 73-89, Vol: 5, Issue: 5, Standard: 2090-4274 (External URL)

Conference Publications

1. A. Majid, L. Chen, G. Chen, H. T. Mirza and I. Hussain (2012) "GoThere: travel suggestions using geotagged photos", in Proc. of the 21st International Conference Companion on World Wide Web (WWW), ACM, pp: 577-578, Standard: 978-1-4503-1230-1 (External URL)

2. A. Majid, L. Chen, H. T. Mirza, I. Hussain and G. Chen (2012) "Mining Context-Aware Significant Travel Sequences from Geotagged Social Media", in Proc. of the 26th AAAI Conference on Artificial Intelligence (AAAI), pp: 2443-2444 (External URL)

Thesis

1. PhD Thesis (In-Progress) – Asia Maqsood – “Malware Detection and Classification using Machine Learning and Deep Learning Techniques”

2. MS Thesis (SP23) – Khurram Shahzad – “A POI Clustered Users recommendation Method in LBSNs considering the Weather Forecast”

3. MS Thesis (FA22) – Anam Khurshid – “Predicting Tourist Destinations based on Interests and Travel Backgrounds using Text Analytics”

4. MS Thesis (SP22) – Syed Huzaifa Ansar – “A Study of Crime Analysis and Prediction Using Data Mining Techniques”

5. MS Thesis (FA21) – Sajeel-UR-Rehman – “Understanding User Mobility Behavior: A Study of Check-in Patterns in Location based Social Networks”

6. MS Thesis (FA21) – Umair Khalid – “Long and Short Term User Preference Learning for Next POI Recommendation”

7. MS Thesis (FA20) – Umer Rana – “Personal Route Prediction by Trajectory Data Mining”

8. MS Thesis (SP16) – Naeem Qasim – “Preference oriented mining techniques for location based point search”

9. MS Thesis (SP14) – Maria Mushtaq – “Developing Trust in Ride Sharing System”

10. MS Thesis (SP14) – Samia Arshad – “A New Method of Optimization for Dynamic Ride Sharing System”

Final Year Project

1. FYP BSCS (Abbas Ali, Muhammad Saeed, Ibad Ur Rehman) "Smart Travel Planner". Completed SP21. 1st Position among 96 FYP's of Spring 2021

2. FYP BSCS (Abdul Dayyan, Soha Bilal) "Spatio-Temporal Data Mining based Task Reminder System". Completed SP21

3. FYP BSCS (Hassam Nadeem, Abdul Rehman Malik) "Tourism Support System for Pakistan". Co-Supervised with Dr. Salman Khan. Completed FA18

4. FYP BSCS (Haider Ali, Muhammad Saad) "Intelli-Rem – A Location Based Intelligent Reminder for Smartphone’s". Completed FA15

5. FYP BSCS (Moizzah Asif, Muhammad Rohail Paracha) "Dynamic Ridesharing". Completed SP14