Items for Unique Author : Abdar, Moloud

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Number of items: 9.

A case study of predicting banking customers behaviour by using data mining

Zhou, Xujuan and Bargshady, Ghazal and Abdar, Moloud and Tao, Xiaohui ORCID: https://orcid.org/0000-0002-0020-077X and Gururajan, Raj and Chan, K. C. (2019) A case study of predicting banking customers behaviour by using data mining. In: 6th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2019), 28-30 Oct 2019, Beijing, China.

A comprehensive analysis of adverb types for mining user sentiments on Amazon product reviews

Chauhan, Ummara Ahmed and Afzal, Muhammad Tanvir and Shahid, Abdul and Abdar, Moloud and Basiri, Mohammad Ehsan and Zhou, Xujuan (2020) A comprehensive analysis of adverb types for mining user sentiments on Amazon product reviews. World Wide Web. ISSN 1386-145X

A new nested ensemble technique for automated diagnosis of breast cancer

Abdar, Moloud and Zomorodi-Moghadam, Mariam and Zhou, Xujuan and Gururajan, Raj and Tao, Xiaohui ORCID: https://orcid.org/0000-0002-0020-077X and Barua, Prabal D. and Gururajan, Rashmi (2018) A new nested ensemble technique for automated diagnosis of breast cancer. Pattern Recognition Letters. ISSN 0167-8655

An ensemble-based decision tree approach for educational data mining

Abdar, Moloud and Zomorodi-Moghadam, Mariam and Zhou, Xujuan (2018) An ensemble-based decision tree approach for educational data mining. In: 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018), 12-14 Nov 2018, Kaohsiung, Taiwan.

Association between work-related features and coronary artery disease: a heterogeneous hybrid feature selection integrated with balancing approach

Nasarian, Elham and Abdar, Moloud and Fahami, Mohammad Amin and Alizadehsani, Roohallah and Hussain, Sadiq and Basiri, Mohammad Ehsan and Zomorodi-Moghadam, Mariam and Zhou, Xujuan and Plawiak, Pawel and Acharya, U. Rajendra and Tan, Ru-San and Sarrafzadegan, Nizal (2020) Association between work-related features and coronary artery disease: a heterogeneous hybrid feature selection integrated with balancing approach. Pattern Recognition Letters, 133. pp. 33-40. ISSN 0167-8655

Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease

Zomorodi-Moghadam, Mariam and Abdar, Moloud and Davarzani, Zohreh and Zhou, Xujuan and Pławiak, Pawel and Acharya, U. Rajendra (2019) Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease. Expert Systems. pp. 1-17. ISSN 0266-4720

Improving Sentiment Polarity Detection Through Target Identification

Basiri, Mohammad Ehsan and Abdar, Moloud and Kabiri, Arman and Nemati, Shahla and Zhou, Xujuan and Allahbakhshi, Forough and Yen, Neil Y. (2019) Improving Sentiment Polarity Detection Through Target Identification. IEEE Transactions on Computational Social Systems . ISSN 2329-924X

Insights into relevant knowledge extraction techniques: a comprehensive review

Shahid, Abdul and Afzal, Muhammad Tanvir and Abdar, Moloud and Basiri, Mohammad Ehsan and Zhou, Xujuan and Yen, Neil Y. and Chang, Jia‑Wei (2019) Insights into relevant knowledge extraction techniques: a comprehensive review. Journal of Supercomputing , 65 (3). ISSN 0920-8542

Performance improvement of decision trees for diagnosis of coronary artery disease using multi filtering approach

Abdar, Moloud and Nasarian, Elham and Zhou, Xujuan and Bargshady, Ghazal and Wijayaningrum, Vivi Nur and Hussain, Sadiq (2019) Performance improvement of decision trees for diagnosis of coronary artery disease using multi filtering approach. In: 4th IEEE International Conference on Computer and Communication Systems (ICCCS 2019), 23-25 Feb 2019 , Singapore .

This list was generated on Thu Jul 16 01:01:40 2020 AEST.