Recent Publications

REFEREED JOURNAL PUBLICATIONS

**** Please, cite all journals and conference proceedings containing articles found on this page you make use of, in your own work.                               ****************************

 

Gidado, A.A., Ezeife, C.I. (2025). UniqueNOSD: A novel framework for NoSQL over SQL databases. Journal of Big Data, 12, 255. Springer Verlag. Nov. https://doi.org/10.1186/s40537-025-01307-2.

 Christie I. Ezeife,  and Hemni Sri Rajeswari Karlapalepu. (2023). A Survey of Sequential Pattern Based E-Commerce Recommendation System.  MDPI Journal of Algorithms 2023, 16, 467 (29 pages), https://doi.org/10.3390/a16100467.

 

  Mahreen Nasir, C. I. Ezeife. 2023. A Survey and Taxonomy of Sequential Recommender Systems for E-commerce Product Recommendation, Springer Nature SN Computer Science Journal (2023) 4:708 (32pages).  https://link.springer.com/article/10.1007/s42979-023-02166-5.

 

 Mahreen Nasir, C. I. Ezeife. 2023. Semantic Enhanced Markov Model for Sequential Ecommerce Product Recommendation. International Journal of Data Science and Analytics (JDSA). Int J Data Sci Anal (2023). Springer Nature. 15(1), pp. 67-91, https://doi.org/10.1007/s41060-022-00343-y.

 

   Ritu Chaturvedi, Christie I. Ezeife.2022. Customized Learning in Online Tutoring Systems by Mining Learning Units from Tasks and Examples. International Journal on Data Science and Technology. Vol. 8, No. 1, 2022, pp. 22-35. doi: 10.11648/j.ijdst.20220801.14.

 

  Nasir, Mahreen., Ezeife, C. I., Gidado, Abdulrauf. (2021).  Improving E-Commerce Product Recommendation using Semantic Context and Sequential Historical Purchases. Springer’s International Journal of Social Networks Analysis and Mining. Vol. 11, Issue 82, Sep. 2, 2021, https://doi.org/10.1007/s13278-021-00784-6.

 

  Ezeife, C. I., Aravindan, Vignesh., Chaturvedi, R.(2020). Mining Integrated Sequential Patterns From Multiple Databases. In IGI International Journal of Data Warehousing and Mining (IJDWM), Vol. 16, Issue 1, Jan., pp 1-21.  DOI: 10.4018/IJDWM.2020010101..

 

Ezeife, C.I., Zhang, Dan. (2014). Mining Multiple Related Data Sources Using Object-oriented Model. Springer Verlag’s  TLDKS (Large-Scale Data and Knowledge-Centered Systems)  XIII journal, LNCS 8420, pp. 1-29.

 

Martinovic, D., Ezeife, C., Whent, R., Reed, J., Burgess, G. H., Pomerleau, C. M., and Chaturvedi, R. (2014).Critic proofing of the cognitive aspects of simple games. Elsevier’s Computers and Education Journal, 72:132–144.

 

Martinovic, D., Whent, R.., Adeyemi, A., Yang, Y., Ezeife, C.I., Lekule, C., Pomerleau, C.M., & Frost, R.A. (2013). Gamification of life: Playing computer games to learn, train, and improve cognitively. Journal of Educational and Social Research, 3(8), 83-89.

 

  Ezeife, C.I. and Titas Mutsuddy, Towards Comparative Mining of Web Document Objects with NFA: WebOMiner System, International Journal of Data Warehousing and Mining (IJDWM), 8(4), pp. 1-21, October-December 2012.

 

  Mabroukeh, Nizar and C.I. Ezeife, A Taxonomy of Sequential Pattern Mining Algorithms, ACM Computing Surveys (CSUR), Vol. 43, No. 1, Article 3, pp 3:1 – 3:41, November 2010.

   C.I. Ezeife  and  Yi  Liu, “Fast Incremental Mining of Web Sequential Patterns with PLWAP Tree”,  Data Mining and Knowledge Discovery  Journal (DAMI), Vol. 19, pp 376 – 418, Springer Verlag publishers, 2009, DOI number10.1007/s10618-009-0133-6, (http://www.springerlink.com/content/?k=+doi%3a(10.1007%2fs10618-009-0133-6) or  and Figure erratum.

  C.I. Ezeife, Jingyu Dong, A.K. Aggarwal, “SensorWebIDS: A Web Mining Intrusion Detection System", Vol 4, issue 1, 2008,  pp. 97-120, of the International Journal of Web Information Systems(IJWIS), Emerald Group Publishing Limited, UK, (http://www.emeraldinsight.com/ijwis.htm).

  C.I. Ezeife. and Mostafa Monwar, “A Plwap-Based Algorithm For Mining Frequent Sequential Stream Patterns, International Journal of Information” Technology and Intelligent Computing (ITIC), Vol.2, No.1, 2007, pp.89-116, endorsed by IEEE Computing Intelligence Society (http://itic.wshe.lodz.pl).

 C.I. Ezeife and Yi Lu, “Mining Web Log sequential Patterns with Position Coded Pre-Order Linked WAP-tree”, the  International Journal of Data Mining and Knowledge Discovery (DMKD), Vol. 10, pp. 5-38, Kluwer Academic Publishers, June 2005. To download the source codes attached to this paper, click on: “Research Source Codes” click on “PLWAP and WAP and GSP codes” and 

“Webcleaner code for cleaning real web logs”.    May also download some of the data used for experimentation from experiment data under one million records or  experiment data over a million records.

 

 C.I. Ezeife and Timothy E. Ohanekwu, “Use of Smart Tokens in Cleaning Integrated Warehouse Data”, the International Journal of Data Warehousing and Mining (IJDWM), Vol. 1, No. 2, pp. 1-22, Ideas Group Publishers, April-June 2005.

 

 Ajumobi Udechukwu, Christie Ezeife, Ken Barker, “Independent De-Duplication in Data Cleaning”, Journal of Information and Organizational Sciences (JIOS), Vol. 29, No. 2, pp. 53 – 68, University of Zagreb, 2005.

Ezeife, C.I, "Selecting and Materializing Horizontally Partitioned Warehouse Views",  Elsevier journal of Data and Knowledge Engineering (DKE),  Vol. 36, No. 2, pp. 185-210, 2001.

Ezeife, C.I. and Anna Meng, "Accommodating Scalability in Warehouse View Selection Problem Using Partial Combined Cube Lattice", Transaction in International Information Systems: System Analysis and Development, Theory and Practice, University of Economics in Wroclaw, Poland, 2000, No. 2.

Ezeife, C.I, “Optimizing the  Partition-Selection Scheme for Warehouse Views”, Transaction in International Information Systems: System Analysis and Development, Theory and Practice, University of Economics in Wroclaw, Poland, vol. 1999, No. 1, 1999.

Ezeife, C.I. and Ken Barker, "Distributed Object Based Design: Vertical Fragmentation of Classes",  International Journal of Distributed and Parallel Databases (DPDS),  Vol. 6, No. 4,  pp. 327-360, Kluwer Academic Publishers, October 1998.

Ezeife, C.I. and Ken  Barker, “A Comprehensive Approach to Horizontal Class Fragmentation in a Distributed Object Based System”, International Journal of Distributed and Parallel Databases(DPDS) , Kluwer Academic Publishers, Volume 3, No. 3, pp. 247-273, July 1995.

*** 3 other journal articles done 1990 – 1991.

BOOKS

 C.I. Ezeife, “Problem Solving and Programs with C", a book published by Nelson Thomson Learning Ltd., August 2010, 3rd edition (used to teach C programming to 1st year class), isbn 0-17-633082-8. Book comes with electronic copy of laboratory manual, book chapter programs, and laboratory solutions. Test and quiz samples are part of the book as well. Instructors and students have a lot of resource materials for teaching and self study. To recommend book for your class or to order, send mail to book publishers via Rosalind.Wright@thomson.com or to the author via cezeife@uwindsor.ca.

C.I. Ezeife, "Problem Solving and Programs with C", a book published by Nelson Thomson Learning Ltd., August 2003, 2nd edition (used to teach C programming to 1st year class), isbn 01764119X. Book comes with electronic copy of laboratory manual, book chapter programs, laboratory solutions and lecture slides.

C.I. Ezeife, "Problem Solving and Programs with C", a book published by Nelson Thomson Learning Ltd., August 2002, first edition (used to teach C programming to 1st year class), isbn 0-17-623040-8.

Ezeife, Christie I. "Problem Solving, Programs, and Computers", published by Harcourt Brace of Canada, first edition, 2000, isbn 0-7747-3732-8.  This is an excellent book for first year Computer Science students which teaches programming by first emphasizing on developing problem-solving skills and methods rather than focusing on specific programming language syntax.  The objective is to  to be able to provide detailed algorithmic solutions (prgram level detail) to problems using top-down design approach to problem solving and program logic structures of sequential, function calls, decision and repetition as well as advanced data structures (arrays, files, binary trees, hashing and linked lists). This  book and its earlier versions, have been used to successfully teach first year class (60-140) with an enrolment of around 600 students yearly in this department for a number of years. For more details regarding the book, send a mail to Harcourt through cs_canada@harcourt.com or to me at cezeife@uwindsor.ca.

 

cezeife@cs.uwindsor.ca

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