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. ****************************
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.
Mahreen Nasir, C.
I. Ezeife. 2022. Semantic Enhanced Markov Model for Sequential Ecommerce
Product Recommendation. International Journal of Data Science and Analytics
(JDSA). Int J
Data Sci Anal (2022). Springer Nature. Published July 24, 2022. 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,
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.
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