Zahid Islam

Research output

Research output per year 2003 2014 2015 2016 2019 2022

• 1331 Citations
• 19 h-Index
• 79 Conference paper
• 43 Article
• 1 Commissioned report
• 1 Edited book
• 3 More
  • 1 Chapter
  • 1 Abstract
  • 1 Editorial

Research output per year

Research output per year

Search results

• 2022

  Internet of Things and Microservices in Supply Chain: Cybersecurity Challenges, and Research Opportunities

  Alsinglawi, B., Zheng, L., Kabir, M. A., Islam, M. Z., Swain, D. & Swain, W., 2022, Advanced Information Networking and Applications - Proceedings of the 36th International Conference on Advanced Information Networking and Applications AINA-2022. Barolli, L., Hussain, F. & Enokido, T. (eds.). Springer, Vol. 451. p. 556-566 11 p. (Lecture Notes in Networks and Systems; vol. 451 LNNS).

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Supply chains 100%
  • Security of data 95%
  • Data Sharing 86%
  • Internet of things 85%
  • Dairies 35%
• 2021

  PostMatch: A framework for efficient address matching

  Yates, D., Islam, Z., Zhao, Y., Nayak, R., Estivill-Castro, V. & Kanhere, S., 09 Dec 2021, (E-pub ahead of print) Data Mining: 19th Australasian Conference on Data Mining, AusDM 2021, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings. Xu, Y., Lord, A., Nayak, R., Williams, G., Wang, R., Boo, Y. L. & Zhao, Y. (eds.). Springer, Vol. 1504. p. 136-151 15 p. (Communications in Computer and Information Science; vol. 1504).

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Machine learning 100%
  • Cloud computing 59%
  • Industry 29%
• 2020

  HeMI++: A genetic algorithm based clustering technique for sensible clusters

  Beg, A. H., Islam, Z. & Estivill-Castro, V., 03 Sep 2020, (E-pub ahead of print) 2020 IEEE Congress on Evolutionary Computation (CEC). Glasgow, UK: IEEE, p. 1-8 8 p. (In Proc. of the IEEE Congress on Evolutionary Computation (IEEE CEC 2020)).

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

• Protection of user-defined sensitive attributes on online social networks against attribute inference attack via adversarial data mining

  Reza, J., Islam, M. Z. & Estivill-Castro, V., 2020, Information Systems Security and Privacy - 5th International Conference, ICISSP 2019, Revised Selected Papers. Mori, P., Furnell, S. & Camp, O. (eds.). Cham, Switzerland: Springer, Vol. 1221. p. 230-249 20 p. (Communications in Computer and Information Science; vol. 1221 CCIS).

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Social Networks 100%
  • Miners 97%
  • Data Mining 94%
  • Attack 83%
  • Attribute 79%
• 2019

  A novel approach for noisy signal classification through the use of multiple wavelets and ensembles of classifiers

  Grant, P. & Islam, Z., Nov 2019, 15th International Conference on Advanced Data Mining and Applications (ADMA 2019). Goebel, R., Tanaka, Y. & Wahlster, W. (eds.). Switzerland: Springer, Vol. 11888. p. 195-203 8 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Classifiers 100%
  • Wavelet transforms 65%
  • Time series 30%

• Clustering noisy temporal data

  Grant, P. & Islam, Z., Nov 2019, 15th International Conference on Advanced Data Mining and Applications (ADMA 2019). Springer, p. 185-194 9 p. (Lecture Notes in Computer Science; vol. 11888).

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Wavelet decomposition 100%
  • Time series 70%

• DataLearner: A data mining and knowledge discovery tool for android smartphones and tablets

  Yates, D., Islam, Z. & Gao, J., 15 Nov 2019, 15th International Conference on Advanced Data Mining and Applications. Springer, p. 828-838 15 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review
  1 Citation (Scopus)

• Data mining and knowledge discovery from physiological sensors

  Costadopoulos, N., Islam, Z. & Tien, D., 05 Jun 2019, PETRA '19: Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments. United States: ACM, p. 468-474 7 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Decision trees 100%
  • Data mining 85%
  • Plethysmography 82%
  • Wearable technology 57%
  • Sensors 52%

• Discovering emotional logic rules from physiological data of individuals

  Costadopoulos, N., Islam, Z. & Tien, D., 2019, In Proc. of the 18th International Conference on Machine Learning and Cybernetics (ICMLC), 2019. Kobe, Japan, p. 468-474 7 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Skin 100%
  • Plethysmography 92%
  • Wearable sensors 71%
  • Wearable technology 64%
  • Data mining 47%

• Implementation and performance analysis of data mining classification algorithms on smartphones

  Yates, D., Islam, Z. & Gao, J., 16 Feb 2019, Data Mining: 16th Australasian Conference, AusDM 2018 Bahrurst, NSW, Australia, November 28–30, 2018 Revised Selected Papers . Islam, R., Koh, Y. S., Zhao, Y., Warwick, G., Stirling, D., Li, C-T. & Islam, Z. (eds.). Singapore: Springer, Vol. 996. p. 331-343 13 p. 40

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Smartphones 100%
  • Data mining 88%
  • Laptop computers 20%
  • Data privacy 15%
  • Security of data 14%
  3 Citations (Scopus)

• Improving clustering via a fine-grained parallel genetic algorithm with information sharing

  Bartlett, S. & Islam, M. Z., 23 Nov 2019, Data Mining - 17th Australasian Conference, AusDM 2019, Proceedings. Le, T. D., Liu, L., Ong, K-L., Zhao, Y., Jin, W. H., Wong, S. & Williams, G. (eds.). Springer, p. 3-15 13 p. (Communications in Computer and Information Science; vol. 1127 CCIS).

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Parallel Genetic Algorithm 100%
  • Information Sharing 95%
  • Genetic Algorithm 59%
  • Clustering 52%
  • Parallel algorithms 51%

• Privacy preservation of social network users against attribute inference attacks via malicious data mining

  Reza, K. J., Islam, M. Z. & Estivill-Castro, V., 23 Feb 2019, Proceedings of the 5th International Conference on Information Systems Security and Privacy: ICISSP 2019. Mori, P., Camp, O. & Furnell, S. (eds.). Scitepress, p. 412-420 9 p. (ICISSP 2019 - Proceedings of the 5th International Conference on Information Systems Security and Privacy).

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Data mining 100%
  8 Citations (Scopus)

• Readiness of smartphones for data collection and data mining with an example application in mental health

  Yates, D. & Islam, M. Z., 23 Nov 2019, Data Mining - 17th Australasian Conference, AusDM 2019, Proceedings. Le, T. D., Liu, L., Ong, K-L., Zhao, Y., Jin, W. H., Wong, S. & Williams, G. (eds.). Springer, p. 235-246 12 p. (Communications in Computer and Information Science; vol. 1127 CCIS).

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Data Mining 100%
  • Health 90%
  • Smartphones 81%
  • Data mining 71%
  • Sensor 67%
  2 Citations (Scopus)

• Using Z-score to extract human readable logic rules from physiological data

  Costadopoulos, N., Islam, Z. & Tien, D., Oct 2019, Proceedings of 2019 11th International Conference on Knowledge and Systems Engineering, KSE 2019. Mothe, J., Son, L. H. & Quoc Vinh, N. T. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 1-6 6 p. 8919473

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Decision Tree 100%
  • Z-score 81%
  • Decision trees 61%
  • Logic 48%
  • Experiment 38%
  1 Citation (Scopus)
• 2018

  On improving the prediction accuracy of a decision tree using genetic algorithm

  Adnan, M. N., Islam, Z. & Akbar, M., Nov 2018, Advanced Data Mining and Applications. Gan, G., Li, B., Li, X. & Wang, S. (eds.). LNAI, Vol. 11323. p. 80 - 94 15 p. 7. (Lecture Notes in Artificial Intelligence ).

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Decision trees 100%
  • Genetic algorithms 72%
  • Genetic programming 29%
  • Trees (mathematics) 29%
  • Machine learning 18%

• Rank forest: Systematic attribute sub-spacing in decision forest

  Babar, Z., Islam, M. Z. & Mansha, S., 01 Jan 2018, Proceedings of the 15th Australasian Data Mining Conference (AusDM 2017). Boo, Y. L., Stirling, D., Chi, L., Liu, L., Ong, K-L. & Williams, G. (eds.). Singapore: Springer, p. 24-37 14 p. (Communications in Computer and Information Science; vol. 845).

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Spacing 100%
  • Decision trees 89%
  • Attribute 88%
  • Random forests 65%
  • Decision tree 39%

• Social Media Users' Privacy Against Malicious Data Miners

  Reza, K. J., Islam, M. Z. & Estivill-Castro, V., 15 Jan 2018, Proceedings of the 2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE). Li, T., López, L. M. & Li, Y. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 1-8 8 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Miners 100%
  • Testing 43%
  • Decision trees 16%
  • Data mining 13%
  3 Citations (Scopus)

• SPAARC: A fast decision tree algorithm

  Yates, D., Islam, Z. & Gao, J., 2018, Data Mining: 16th Australasian Conference, AusDM 2018 Bahrurst, NSW, Australia, November 28–30, 2018 Revised Selected Papers . Islam, R., Koh, Y. S., Zhao, Y., Warwick, G., Stirling, D., Li, C-T. & Islam, Z. (eds.). Springer, p. 43-55 13 p. 77. (Communications in Computer and Information Science ; no. 996).

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  2 Citations (Scopus)
• 2017

  3LP: Three layers of protection for individual privacy in Facebook

  Reza, K. J., Islam, M. Z. & Estivill-Castro, V., 2017, ICT Systems Security and Privacy Protection - Proceedings of the 32nd IFIP TC 11 International Conference (SEC 2017) . Springer, Vol. 502. p. 108-123 16 p. (IFIP Advances in Information and Communication Technology; vol. 502).

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Facebook 100%
  • Privacy 71%
  • Hidden Information 18%
  • Friendship 15%
  • Social Networks 14%
  6 Citations (Scopus)

• Analyzing Performance of Classification Techniques in Detecting Epileptic Seizure

  Siddiqui, M. K., Islam, M. Z. & Kabir, M. A., 2017, Proceedings of the 13th International Conference of Advanced Data Mining and Applications (ADMA 2017). Cong, G., Peng, W-C., Zhang, W. E., Li, C. & Sun, A. (eds.). Springer, p. 386-398 13 p. (Lecture Notes in Artificial Intelligence; vol. 10604).

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Classifiers 100%
  • Decision trees 19%
  7 Citations (Scopus)

• Effects of Dynamic Subspacing in Random Forest

  Adnan, M. N. & Islam, M. Z., 2017, Proceedings of the 13th International Conference of Advanced Data Mining and Applications (ADMA 2017). Cong, G., Peng, W-C., Zhang, W. E., Li, C. & Sun, A. (eds.). Springer, p. 303-312 10 p. (Edit Lecture Notes in Artificial Intelligence; vol. 10604).

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Random forests 100%
  • Decision trees 22%
  • Machine learning 17%
  • Experiments 8%
  3 Citations (Scopus)
• 2016

  Addressing class imbalance and cost sensitivity in software defect prediction by combining domain costs and balancing costs

  Siers, M. & Islam, M. Z., 2016, Proceedings of the 12th International Conference on Advanced Data Mining and Applications, ADMA 2016. Switzerland: Springer, Vol. 10086. p. 156-171 16 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Defects 100%
  • Costs 55%
  • Industry 15%
  • Software engineering 14%
  • Classifiers 12%
  8 Citations (Scopus)

  3 Downloads (Pure)

• Advantages and limitations of genetic algorithms for clustering records

  Beg, A. H. & Islam, M. Z., 2016, Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 2478-2483 6 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Genetic algorithms 100%
  • Miners 42%
  • Cluster analysis 41%
  • Image segmentation 33%
  • Evolutionary algorithms 32%
  31 Citations (Scopus)

• A novel genetic algorithm-based clustering technique and its suitability for knowledge discovery from a brain data set

  Beg, A. H. & Islam, M. Z., 2016, CEC 2016. United States: IEEE, Institute of Electrical and Electronics Engineers, p. 948-956 9 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Data mining 100%
  • Brain 99%
  • Chromosomes 92%
  • Genetic algorithms 85%
  • Cloning 53%
  5 Citations (Scopus)

  7 Downloads (Pure)

• Branches of evolutionary algorithms and their effectiveness for clustering records

  Beg, A. H. & Islam, M. Z., 2016, Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 2484-2489 6 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Evolutionary algorithms 100%
  • Miners 25%
  • K-means clustering 24%

• Data Mining Approach in Seizure Detection

  Siddiqui, M. K. & Islam, M. Z., 2016, Proceedings of the 2016 IEEE Region 10 Conference (TENCON). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 3579-3583 5 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review
  4 Citations (Scopus)

• Forest CERN: A New Decision Forest Building Technique

  Adnan, M. N. & Islam, M. Z., 2016, Advances in Knowledge Discovery and Data Mining: 20th Pacific-Asia Conference, PAKDD 2016. Wang, R., Bailey, J., Washio, T., Huang, J. Z., Khan, L. & Dobbie, G. (eds.). Switzerland: Springer, Vol. 9651. p. 304-315 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9651).

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Machine learning 100%
  19 Citations (Scopus)

  6 Downloads (Pure)

• Genetic algorithm with Novel Crossover, selection and health check for clustering

  Beg, A. H. & Islam, M. Z., 2016, Proceedings of the 24th European Symposium on artificial neural networks, computational intelligence and machine learning. Belgium: i6doc.com publication, p. 575-580 6 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  Open Access

  File

  • Chromosomes 100%
  • Health 63%
  • Genetic algorithms 61%
  3 Citations (Scopus)

  1 Downloads (Pure)

• Knowledge discovery from a data set on dementia through decision forest

  Adnan, M. N. & Islam, M. Z., 2016, Proceedings of the Forteenth Australasian Data Mining Conference (AusDM 16). Australia: CRPIT, p. 1-8 8 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Decision trees 100%
  • Data mining 85%
  • Set theory 49%
  • Classifiers 18%

• Measuring the similarity between rule lists

  Fletcher, S. & Islam, M. Z., 2016, Proceedings of the 14th Australasian Data Mining Conference (AusDM 16) . Australia: CRPIT, p. 1-8 8 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Data mining 100%

• Novel crossover and mutation operation in Genetic Algorithm for clustering

  Beg, A. H. & Islam, M. Z., 2016, 2016 IEEE Congress on Evolutionary Computation (CEC). United Kingdom: IEEE, Institute of Electrical and Electronics Engineers, p. 2114-2121 8 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Chromosomes 100%
  • Genetic algorithms 61%
  8 Citations (Scopus)

  5 Downloads (Pure)

• On improving random forest for hard-to-classify records

  Adnan, M. N. & Islam, M. Z., 2016, Proceedings of the 12th International Conference on Advanced Data Mining and Applications, ADMA 2016. Li, J., Li, X., Wang, S., Li, J. & Sheng, Q. Z. (eds.). Switzerland: Springer, Vol. 10086. p. 558-566 9 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Random forests 100%
  • Decision trees 15%
  1 Citation (Scopus)

• RB Clust: High quality class-specific clustering using rule-based classification

  Siers, M. J. & Islam, M. Z., 2016, ESANN 2016 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Belgium: i6doc.com publication, p. 593-598 6 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Labels 100%
  • Machine learning 43%
  4 Citations (Scopus)

• WaterDM: A knowledge discovery and decision support tool for efficient dam management

  Islam, M. Z., Furner, M. & Siers, M., 2016, Proceedings of the Forteenth Australasian data mining conference (AusDM 16) . Australia: CRPIT, p. 1-5 5 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • dam 100%
  • decision 83%
  • data mining 70%
  • society 50%
  • electricity 28%
• 2015

  A Differentially Private Decision Forest

  Fletcher, S. & Islam, M. Z., 2015, Proceedings of the Thirteenth Australasian Data Mining Conference (AusDM 15) . Australia: CRPIT, p. 99-108 10 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Random forests 100%
  • Data mining 78%
  8 Citations (Scopus)

  5 Downloads (Pure)

• A differentially private random decision forest using reliable signal-to-noise ratios

  Fletcher, S. & Islam, M. Z., 2015, AI 2015: Advances in Artificial Intelligence: 28th Australasian Joint Conference Proceedings. Pfahringer, B. & Renz, J. (eds.). Germany: Springer, Vol. 9457. p. 192-203 12 p. (Lecture Notes in Artificial Intelligence; vol. 9457).

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Random forests 100%
  • Signal to noise ratio 78%
  • Miners 28%
  • Data privacy 24%
  • Experiments 8%
  14 Citations (Scopus)

  5 Downloads (Pure)

• AWST: A Novel Attribute Weight Selection Technique for Data Clustering

  Rahman, M. A. & Islam, M. Z., 2015, Proceedings of the Thirteenth Australasian Data Mining Conference (AusDM 15). Australia: CRPIT, p. 51-58 8 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

• Clustering by genetic algorithm: High quality chromosome selection for initial population

  Beg, A. H. & Islam, M. Z., 2015, Proceedings of the 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 129-134 6 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Chromosomes 100%
  • Genetic algorithms 61%
  • Genes 33%
  • Machine learning 12%
  • Experiments 12%
  10 Citations (Scopus)

• Complement random forest

  Adnan, M. N. & Islam, M. Z., 2015, Proceedings of the Thirteenth Australasian Data Mining Conference (AusDM 15). Australia: CRPIT, p. 89-97 9 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  Open Access

  File

  • Random forests 100%
  • Decision trees 91%
  • Machine learning 17%
  4 Citations (Scopus)

  36 Downloads (Pure)

• Improving the Random Forest Algorithm by Randomly Varying the Size of the Bootstrap Samples for Low Dimensional Data Sets

  Adnan, M. N. & Islam, M. Z., 2015, ESANN 2015 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Belgium: i6doc.com publication, p. 391-396 6 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  Open Access

  File

  • Random forests 100%
  • Decision trees 91%
  • Classifiers 66%
  • Set theory 60%
  • Machine learning 34%
  5 Citations (Scopus)

  35 Downloads (Pure)

• Multiple Imputation on Partitioned Datasets

  Furner, M. & Islam, M. Z., 2015, Proceedings of the Thirteenth Australasian Data Mining Conference (AusDM 15). Australia: CRPIT, p. 59-68 10 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

• One Vs All Binarization Technique in the Context of Random Forest

  Adnan, M. N. & Islam, M. Z., 2015, ESANN 2015 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Belgium: i6doc.com publication, p. 385-390 6 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  Open Access

  File
  15 Citations (Scopus)

  123 Downloads (Pure)

• Social and community links: Drivers of healthy and active ageing

  Akhter, R., Bernoth, M., Burmeister, O., Chia, E. V., Dionigi, R., Dresser, G., Evans-Barr, G., Islam, M. Z., Morrison, M. & Robergs, R., 2015, Rethinking the Region & Regionalism in Australasia: Challenges & Opportunities for the 21st Century. East Sussex, United Kingdom: Regional Studies Association, p. 1-7 7 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  Open Access

  File

  • driver 100%
  • access to services 70%
  • social participation 67%
  • people with disabilities 61%
  • Health Care System 60%
  17 Downloads (Pure)

• Standoff-Balancing: A Novel Class Imbalance Treatment Method Inspired by Military Strategy

  Siers, M. & Islam, M. Z., 2015, 28th Australasian Joint Conference on Artificial Intelligence: AI 2015. Renz, J. & Pfahringer, B. (eds.). Berlin, Germany: Springer-Verlag London Ltd., Vol. 9457. p. 517-525 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9457).

  Research output: Book chapter/Published conference paper › Conference paper › peer-review
  5 Citations (Scopus)
• 2014

  A comprehensive method for attribute space extension for random forest

  Adnan, M. N. & Islam, M. Z., 2014, Proceedings of the 17th International Conference on Computer and Information Technology : ICCIT 2014. United States: IEEE, Institute of Electrical and Electronics Engineers, p. 25-29 5 p. 7073129

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Random forests 100%
  • Decision trees 61%
  • Machine learning 23%
  9 Citations (Scopus)

• ComboSplit: combining various splitting criteria for building a single decision tree

  Adnan, M. N. & Islam, M. Z., 2014, Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, Kuala Lumpur, Malaysia, 2014: AIPR 2014. United States: The Society of Digital Information and Wireless Communications (SDIWC), p. 1-8 8 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  Open Access

  File
  8 Citations (Scopus)

  56 Downloads (Pure)

• Cost Sensitive Decision Forest and Voting for Software Defect Prediction

  Siers, M. & Islam, M. Z., 2014, PRICAI 2014. Germany: Springer-Verlag London Ltd., Vol. 8862. p. 929-936 8 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Defects 100%
  • Costs 55%
  • Decision trees 35%
  • Classifiers 25%
  12 Citations (Scopus)

• Data Cleansing During Data Collection from Wireless Sensor Networks

  Islam, M. Z., Mamun, Q. & Rahman, M. G., 2014, Proceedings of the Twelfth Australasian Data Mining Conference (AusDM 14). Sydney, NSW: Australian Computer Society Inc, p. 195-203 9 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Data mining 100%
  • Wireless sensor networks 94%
  • Decision support systems 41%
  • Network architecture 37%
  • Cleaning 37%

• DenClust: A Density Based Seed Selection Approach for K-Means

  Rahman, M. A., Islam, M. Z. & Bossomaier, T., 2014, ICAISC 2014. Switzerland: Springer International Publishing, Vol. 8468. p. 784-795 12 p.

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  Open Access

  File

  • seed 100%
  • evaluation criterion 68%
  • heuristics 58%
  • den 34%
  • machine learning 28%
  6 Citations (Scopus)

  21 Downloads (Pure)

• Empowering users of social networks to assess their privacy risks

  Estivill-Castro, V., Hough, P. & Islam, M. Z., 2014, Proceedings, 2014 IEEE International Conference on Big Data. Chang, W., Huan, J., Cercone, N., Pyne, S., Honavar, V., Lin, J., Hu, XT., Aggarwal, C., Mobasher, B., Pei, J. & Nambiar, R. (eds.). Piscataway, N.J: IEEE, Institute of Electrical and Electronics Engineers, p. 644-649 6 p. 7004287

  Research output: Book chapter/Published conference paper › Conference paper › peer-review

  • Social Networks 100%
  • Privacy 83%
  • Data Mining 34%
  • Personalization 26%
  • Correlates 21%
  10 Citations (Scopus)