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Browsing Faculty Publications by Subject "Data mining"

Browsing Faculty Publications by Subject "Data mining"

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  • Abdelhamid, Neda; Thabtah, Fadi (World Scientific Publishing Co. Pte Ltd, 2014)
    Associative classification (AC) is a promising data mining approach that integrates classification and association rule discovery to build classification models (classifiers). In the last decade, several AC algorithms have ...
  • Abdelhamid, Neda; Jabbar, Ahmad Abdul; Thabtah, Fadi (Institute of Electrical and Electronics Engineers Inc., 2016)
    Association rule mining involves discovering concealed correlations among variables often from sales transactions to help managers in key business decision involving items shelving, sales and planning. In the last decade, ...
  • Baadel, Said; Lu, Joan (World Scientific Publishing Co. Pte Ltd, 2019)
    According to the international body Anti-Phishing Work Group (APWG), phishing activities have skyrocketed in the last few years and more online users are becoming susceptible to phishing attacks and scams. While many online ...
  • Mohamed, Elfadil A.; Elshareif, Elgilani El.; Mohamed, Omer Ishag Eldai (Science Publications, 2019)
    There are some similarities between Financial Statement Audit (FSA) and Information Systems Audit (ISA). FSA is an examination of the reliability and integrity of financial statement records, whereas ISA is a review and ...
  • Qabajeh, Issa; Chiclana, Francisco; Thabtah, Fadi (Taylor and Francis Ltd., 2015)
    Rule induction (RI) produces classifiers containing simple yet effective ‘If–Then' rules for decision makers. RI algorithms normally based on PRISM suffer from a few drawbacks mainly related to rule pruning and rule-sharing ...
  • Thabtah, Fadi; Hammoud, Suhel (World Scientific Publishing Co. Pte Ltd, 2013)
    Association rule is one of the primary tasks in data mining that discovers correlations among items in a transactional database. The majority of vertical and horizontal association rule mining algorithms have been developed ...
  • Thabtah, Fadi; Hammoud, Suhel; Abdel-Jaber, Hussein (World Scientific Publishing Co. Pte Ltd, 2015-06)
    Associative classification (AC) is a research topic that integrates association rules with classification in data mining to build classifiers. After dissemination of the Classification-based Association Rule algorithm ...
  • Thabtah, Fadi; Kamalov, Firuz (World Scientific Publishing Co. Pte Ltd, 2017-12-01)
    A typical predictive approach in data mining that produces If-Then knowledge for decision making is rule-based classification. Rule-based classification includes a large number of algorithms that fall under the categories ...
  • Mohammad, Rami M.; Thabtah, Fadi; McCluskey, Lee (Springer London, 2014)
    Internet has become an essential component of our everyday social and financial activities. Nevertheless, internet users may be vulnerable to different types of web threats, which may cause financial damages, identity ...
  • Mwitondi, Kassim S.; Said, Raed A.; Zargari, Shahrzad A. (Elsevier Ltd, 2019-10)
    The capacity for data mining algorithms to learn rules from data is influenced by, inter-alia, the random nature of training and test data as well as by the diversity of domain partitioning models. Isolating normal from ...

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