Recent Publications
**** Please, cite all journals and conference
proceedings containing articles found on this page you make use of, in your own
work. ****************************
REFEREED CONFRENCE PUBLICATIONS
Esther Umoh, C. I. Ezeife and Ritu
Chaturvedi. (2025). Profit-Oriented
High Utility Sequential Recommendation in Big Dataset with MapReduce. The IEEE ASONAM’s 16th
International Workshop on Mining and Analyzing Social Networks for Decision
Support (MSNDS 2025), In
conjunction with ASONAM 2025 Niagara Falls, Ontario, Canada, August 25-28, 2025.
Zeeshan Zohaib, C. I. Ezeife, Ritu
Chaturvedi. (2025). Aspect Sentiment Feature Extraction using Large Language
Models for Cross Domain Recommendation. The 2nd Workshop on Large
Language Model for E-Commerce Workshop at ACM KDD’25, Aug. 4, 2025,
Toronto, Canada.
Ayomide E. Oduba, C.I. Ezeife, Mahreen
Nasir. (2025). A Content Based E-Commerce Dataset Recommendation System Using
BERT and Named Entity Recognition. 32nd IEEE/ACIS International Summer
Conference on Software Engineering Artificial Intelligence, Networking and
Parallel/Distributed Computing (SNPD 2025), July 23-25, 2025, Brampton, Toronto, Canada.
Ainoo, E.J., Ezeife, C.I., Gidado, A. (2025).
Mining Likes and Transactions per User for Cross-Domain Product
Recommendation in Social Network and E-Commerce. In: Ting, IH.,
Alhajj, R., Karampelas, P., Day, MY. (eds) Advances in Social Networks Analysis
and Mining. ASONAM 2024, Italy, Sept. 2-5, 2024. Lecture Notes in Social
Networks. Springer, Cham, pp. 65-80. https://doi.org/10.1007/978-3-031-85386-9_5.
Bandreddy S, Ezeife C, Gidado A. (2024).
Mining Historical Multi-behavior Sequential Patterns for Ecommerce
Recommendation. LNCS. In proceedings of the 26th International Conference on
Information Integration and Web Intelligence (iiWAS), Bratislava, Slovakia Proceedings, Dec.
2-4, 2024, Part II, Pages 55 – 74. https://doi.org/10.1007/978-3-031-78093-6_5.
Abdulrauf Aremu
Gidado, C I Ezeife. (2024). iHSPRec: Image Enhanced Historical Sequential Pattern Recommendation.
Proceedings of the 2024 8th International
Conference on Information System and Data Mining (CISDM2024), Los Angeles, United States, June 24-26,
2024, www.icisdm.org. p.79-89. ACM NY. https://doi.org/10.1145/3686397.3686411.
Ritu
Chaturvedi, Christie I. Ezeife, and Md. Burhan Uddin. (2023). Using
Derived Sequential Pattern Mining for E-Commerce Recommendations in Multiple
Sources. In proceedings of the 25th International Conference on
Information Integration and Web Intelligence (iiWAS) 2023, December 4 to
6, 2023, Denpasar – Bali, Indonesia, Springer LNCS. pp 367–381. https://doi.org/10.1007/978-3-031-48316-5_35.
Christie I. Ezeife, Mayank Semwal. (2023). Community Opinion Network Maximization for Mining
Top K Seed Social Network Users. Proceedings of the 2023 International Conference on Advances
in Computing Research (ACR’23),
May 8-10, 2023, Orlando, Florida, USA, Springer’s LNCS, pp
3–16. https://link.springer.com/chapter/10.1007/978-3-031-33743-7_1.
Gidado, A. and C. I. Ezeife, "Maximizing Bigdata
Retrieval: Block as a Value for NoSQL over SQL," 2022 IEEE/ACM
International Conference on Advances in Social Networks Analysis and Mining
(ASONAM)-PhD Asonam, Istanbul, Turkey, Nov. 10-13, 2022, pp. 556-563, https://ieeexplore.ieee.org/document/10068692.
Ezeife, C. I., Ritu Chaturvedi, Mahreen Nasir, Vinay Manjunath. (2022).
Mining Twitter Multi-Word Product Opinions with Most Frequent Sequences of
Aspect Terms, in the
proceedings of the 24th
International Conference on Information Integration and Web Intelligence (iiWAS)
2022, Italy, Nov. 28 – 30, Springer LNCS, pp. 126-136. https://doi.org/10.1007/978-3-031-21047-1_12.
Priyanka Motwani, Ezeife, C. I., Nasir,
Mahreen. (2022). Extracting High Profit
Sequential Feature Groups of
Products using High Utility Sequential Pattern Mining, International Conference
on Advanced Data Mining and Applications (ADMA), LNAI 13088, pp. 54–67,
2022, Sydney, Australia, 2-4 February 2022, https://link.springer.com/chapter/10.1007/978-3-030-95408-6_5.
Ezeife, C.
I.; Nasir, Mahreen., Chaturvedi, Ritu., Veliz Castro, Angel. (2021). The HSPREC
E-Commerce System Open Source Code Implementation. Proceedings of the IEEE/ACIS
21st International Fall Conference on Computer and Information Science (ICIS
2021-Fall), October 13-15, 2021, Xi'an, China (Virtual).
Manil Patel, C. I. Ezeife. (2021). BERT-based Multi-Task
Learning for Aspect Based Opinion Mining. In proceedings of the 32nd DEXA
Conferences and Workshops ( http://www.dexa.org), held as a virtual conference,
Springer’s LNCS, September 27 - 30, 2021 (Virtual).
Mahreen Nasir, C. I.
Ezeife. (2020). Semantics
Embedded Sequential Recommendation for E-Commerce Products (SEMSRec).
Proceedings of the IEEE/ACM ASONAM 2020 - The 2020
International Conference on Advances in Social Networks Analysis and Mining,
7-10 December 2020, (Virtual), Springer, pp 270 - 274.
Ritu Chaturvedi, C. I. Ezeife. (2020). Clustering Examples in
Web-based Tutoring Systems Based on Relevance of Concepts. Proceedings of the 4th IEEE International Conference on Intelligent Computing in Data Sciences (ICDS
2020), October 21-22-23, 2020, Fez, Morocco, IEEE Computational Intelligence
Society, pp. 1-6.
Bhatta Raj, C. I. Ezeife, Mahreen
Nasir Butt. (2019). Mining
Sequential Pattern of Historical Purchases for E-Commerce Recommendation,
in the proceedings of the 21st International
Conference on Big Data Analytics and Knowledge Discovery - DaWaK 2019, Linz,
Austria, Aug. 26 – 29, pages 57-72, https://doi.org/10.1007/978-3-030-27520-4_5.
Ejieh, Chukwuma., Ezeife, C. I., Chaturvedi.
R. (2019). Mining
Product Opinions with Most Frequent Clusters of Aspect Terms. In the Proceedings of the 34th ACM/SIGAPP Symposium on Applied
Computing ACM SAC conference 2019, Lymassol
Cyprus, April 8 – 12, Pages 546-549 .
Ying Xiao,
C. I. Ezeife, “
E-commerce
Product Recommendation Using Historical Purchases and Clickstream Data”,
20th International Conference on Big Data Analytics
and Knowledge Discovery - DaWaK 2018, Regensburg, Germany, September 3 - 6,
2018, Springer’s LNCS 11031, p. 70-82.
Muhammad Anwar Shahid, Arunita Jaekel, Christie
Ezeife, Qasim Al-Ajmi, Ikjot Saini. Review of Potential
Security Attacks in VANET. IEEE 2018 Majan International Conference (MIC), 19-20
March 2018, pp. 1 – 4.
Ritu Chaturvedi, C. I. Ezeife, “Predicting
Student Performance in an ITS using Task-driven Features”, proceedings of the IEEE International
Conference on Computer and Information Technology (CIT-2017) held in Helsinki, Finland,
21-23 August 2017, pp 168-175,
https://research.comnet.aalto.fi/CIT2017/.
C.I. Ezeife and Bindu Peravali, “Comparative
Mining of B2C Web Sites by Discovering Web Database Schemas”, in the
proceedings of the 20th ACM International
Database Engineering & Applications Symposium (IDEAS16), pp. 183-192 , Montreal,
QC, CANADA , 11-13 July, 2016.
R. Chaturvedi and C. I. Ezeife, "Mining Binary Data with Matrix
Algebra", Computer and
Information Technology; Ubiquitous Computing and Communications; Dependable,
Autonomic and Secure Computing; Pervasive Intelligence and Computing
(CIT/IUCC/DASC/PICOM), 2015 IEEE International Conference on, Liverpool,
UK, 26-28 Oct. 2015, pp. 901-906.
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7363175&isnumber=7362962
Ritu Chaturvedi and Dragana Martinovic
and C.I. Ezeife, “Mining Game
Features to Predict Emotions”, proceedings of the International Social Sciences and Education Research
Conference: ICBT 2015, 1-4 July, 2015 at Ryerson University, Toronto, Canada.
Ritu Chaturvedi and C. I. Ezeife, “Mining
Relevant Examples for Learning in ITS Student Modules”, in the IEEE
symposium on recent advances in computer and information technologies (RACIT
2014) held in conjunction with the 14th IEEE International Conference on
Computer and Information Technology - CIT 2014, September 11-13, Xi'an, China,
pp 743 - 750.
Tamanna S.
Mumu and C.I. Ezeife, “Discovering
Community Preference Influence Network by Social Network Opinion Posts Mining”,
in the proceedings of the
Springer’s LNCS series 16th International Conference on Data Warehousing and
Knowledge Discovery - DaWaK 2014, Munich, Germany, Sept.
1-5, 2014, Springer pp 136-145.
Ezeife, C.I., Whent, Rob., Martinovic, Dragana., Frost, Richard., Alahmad, Yanal., Mumu, Tamanna. (2014). “Automatic
Updating Of Computer Games Data Warehouse For Cognition Identification”,
in
the proceedings of the 6th International Conference on Computer
Supported Education (CSEDU 2014), 1 – 3 April, 2014 in Barcelona, Spain,
pp. 338-345.
Gunjan Soni and C.I. Ezeife , “An Automatic Email
Management Approach using Data Mining Techniques”, in the proceedings
of the 15th International Conference on Data Warehousing and Knowledge Discovery
- DaWaK 2013, Prague, Czech Republic, August 26 - 29, 2013, Springer’s LNCS
series, pp. 260-267.
Ritu
Chaturvedi and C. I. Ezeife, “Mining
the Impact of Course Assignments on Student Performance”, in the Sixth
ACM International Conference on Educational Data Mining-EDM 2013, July 6 to 9,
2013, Tennessee,USA, pp 308-309.
Ahmed, Sabbir and C.I. Ezeife, “Discovering
Influential Nodes from Trust Network”, in the 28th ACM
Symposium on Applied Computing (ACMSAC) – Data Mining Track, Coimbra,
Portugal, March 18 – 22, 2013, pp 121-128 (won
best paper award).
Ritu Chaturvedi and C. I. Ezeife, “Data
mining techniques for design of ITS student model”, proceedings of the 5th ACM International Conference on Educational
Data Mining (EDM 2012), June 19, 2012 - June 21, 2012, Chania, Greece,
pp. 232 - 233.
Rob Whent, Dragana
Martinovic, C.I. Ezeife , Sabbir Ahmed, Yanal
Alahmad and Tamanna Mumu, “School Age
Children’s Cognition Identification By Mining Integrated Computer Games
Data”, in the proceedings of the 4th International
Conference on Computer Supported Education (CSEDU 2012) 16 – 18 April, 2012 in Porto,
Portugal, pp. 495 - 505.
Mabroukeh, Nizar and C.I. Ezeife, “Ontology-based
Web Recommendation from Tags”, in the proceedings of the Second
Workshop in Data Engineering meets the Semantic Web (DeSWeb2011)of the 27th
IEEE International Conference on Data Engineering (ICDE), Hanover, Germany,
April 11 – 16, 2011, pp. 206-211.
Olalekan Kadri and C.I. Ezeife, “Mining Uncertain Web
Log Sequences with Access History Probabilities”, in the proceedings of the 26th ACM Symposium on Applied
Computing, ACM SAC 2011, DTTA - Database Theory, Technology, and
Application, Tunghai University, TaiChung, Taiwan, March 21 – 24, 2011, pp. 1064-1065.
C.I. Ezeife, Md. Zillur Rahman, “NeuDetect: A
Neural Network Data Mining Wireless Network Intrusion Detection System”, in
the proceedings of the ACM 14th International Database
Engineering & Applications Symposium (IDEAS10), pp. 38-41, Montreal, QC, CANADA , 16-18 August, 2010.
Mabroukeh, Nizar, Ezeife, C.I.
2009. “Semantic-rich Markov
Models for Web Prefetching”, in the proceedings of the 2009 IEEE
International Conference on Data Mining (ICDM) Workshops (Workshop on Semantic Aspects in Data Mining
(SADM'09)), pp. 465 - 470, Miami Florida, December 6-9, 2009.
Mabroukeh, Nizar, Ezeife, C.I.
2009. “Using Domain
Ontology for Semantic Web Usage Mining and Next Page Prediction”, in
the proceedings of the18th ACM Conference on Information and Knowledge
Management (CIKM), pp. 1677 – 1680, November 2-6, 2009, Hong Kong.
C.I. Ezeife,
Kashif Saeed, and Dan Zhang, “Mining Very Long
Sequences in Large Databases with PLWAPLong”, in proceedings of the
13th ACM sponsored International Database Engineering &
Applications Symposium Cetraro, Calabria, Italy, 16-18 September 2009 (IDEAS
09), pp. 234 - 241.
C.I. Ezeife
and Dan Zhang, “TidFP: Mining Frequent
Patterns in Different Databases with Transaction ID”, in the LNCS proceedings of the 11th
international conference on Data Warehousing and Knowledge Discovery (DAWAK
09), Linz, Austria, Springer Verlag, pp. 125 – 137, Aug. 31 – Sept. 4, 2009.
Estella
Annoni, C.I. Ezeife, “Modelling Web Documents
as Objects for Automatic Web Content Extraction”, in the proceedings
of the ACM/LNCS sponsored 11th International Conference on
Enterprise Information Systems (ICEIS 09), pp. 91- 100, May 6-10, 2009 in
Milan, Italy.
C.I. Ezeife,
Maxwell Ejelike, Akshai Aggarwal, “WIDs: A
Sensor-Based Online Mining Wireless Intrusion Detection System”,
proceedings of the Twelfth
ACM/IEEE International Database Engineering & Applications Symposium
(IDEAS08), 2008, pp. 255-262, 2008, September, Coimbra, Portugal.
Ahmedur Rahman, C.I. Ezeife, A.K.
Aggarwal, “WiFi
Miner: An Online Apriori-Infrequent Based Wireless Intrusion Detection System”,
proceedings of the 2nd ACM SIGKDD '08 International Workshop on Knowledge
Discovery from Sensor Data (Sensor-KDD, 2008), pp. 77 – 85, 24th
August 2008, Las Vegas, NV..
C.I. Ezeife,
Monwar Mostafa, “SSM : A Frequent
Sequential Data Stream Patterns Miner”, proceedings of the
IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2007),
Honolulu, Hawaii, IEEE Computational Intelligence Society publication, pp.
120-126, 2007.
Lichun Zhu,
C.I. Ezeife, R.D. Kent, “Generic Query ToolKit: A
Query Interface Generator Integrating Data Mining”, proceedings of
the 2007 Information Resources Management Association International Conference
(IRMA07), Vancouver B.C., Canada, May 19-23, IGI Publishing, pp. 1122-1125,
2007.
Jing Li and C.I. Ezeife, “Cleaning Web Pages for
Effective Web Content Mining”, proceedings of the 17th
International Conference on Databases and Expert Systems Applications, DEXA
2006, Krakow, Polland, Sept 4-8, published in LNCS, pp. 560-571, Springer
Verlag.
C.I. Ezeife
and Yi Lu and Yi Liu, “PLWAP Sequential
Mining: Open Source Code paper”, proceedings of the
Open Source Data Mining Wrokshop on Frequent Pattern Mining Implementations, in
conjunction with ACM SIGKDD, Chicago, IL, U.S.A., 2005. To download the source codes attached to this paper,
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 Min Chen, “Mining Web Sequential
Patterns Incrementally with Revised PLWAP Tree”, proceedings of the
fifth International Conference on Web-Age Information Management (WAIM
2004) Dalian, sponsored by National
Natural Science Foundation of China, 15
- 17 July 2004, published in LNCS by Springer Verlag, pp. 539-548.
C.I. Ezeife and Min Chen, “Incremental Mining of
Web Sequential Patterns Using PLWAP Tree on Tolerance MinSupport”, proceedings of the IEEE 8th
International Database Engineering and Applications Symposium, Coimbra,
Portugal, July 7th to 9th, 2004, pp. 465-479.
Agyemang, Malik and C.I. Ezeife. “LSC-Mine: Algorithm for
Mining Local Outliers”. Proceedings of the 15th
Information Resource Management Association (IRMA) International Conference,
New Orleans, May 23 to 26, 2004, Vol. 1, pp. 5-8, IRM press (publishers of the journal of Database Management,
Hershey, PA U.S.A.) .
Yi Lu and
C.I. Ezeife, "Position
Coded Pre-Order Linked WAP-Tree for Web Log Sequential Pattern Mining",
proceedings of the seventh Pacific-Asia Conference on Knowledge Discovery and
Data Mining, Seoul, Korea, April 30-May 2, 2003, published in LNCS by Springer
Verlag, , pp. 337-349.
C.I. Ezeife
and A.O. Udechukwu, "Data Position and
Profiling in Domain-Independent Warehouse Cleaning", proceedings of
the 5th acm International Conference on Enterprise Information Systems, ICEIS
2003, April 23-26, 2003, Angers, France, published in LNCS by Springer Verlag,
Vol. 1, pp. 232-238.
C.I. Ezeife
and Pinakpani Dey, "Incremental
Horizontal Fragmentation of Database Class Objects", proceedings of
the 5th acm International Conference on Enterprise Information Systems, ICEIS
2003, April 23-26, 2003, Angers, France, published in LNCS by Springer Verlag,
Vol. 1, pp. 239-245.
Timothy E.
Ohanekwu and C.I. Ezeife, "A Token-Based Data
Cleaning Technique for Data Warehouse Systems", proceedings of the
International Workshop on Data Quality in Cooperative Information Systems, held
in conjunction with the 9th International Conference on Database Theory (ICDT
2003), Siena, Italy, January 10-11, 2003, pp. 21-26.
Ezeife, C.I.
and Yi Liu and Chungsheng Liu and Ingo Schmitt, "WIG - A Warehouse
Integrator Code Generator", proceedings of the 2002 NSF/NSERC
conference, San Juan, Puerto Rico, January 2002.
Zhou, Zequn
and Ezeife, C.I., "A
Low-Scan Incremental Association Rule Maintenance Method ",
proceedings of the fourteenth Canadian Conference on Artificial
Intelligence, AI 2001, holding June 7 to June 9, 2001, Ottawa, Canada,
published in Lecture Notes in Computer Science (LNCS) by Springer Verlag, pp.
26-35.
Xu, Mei and
Ezeife, C.I., "Maintaining
Horizontally Partitioned Warehouse Views", proceedings of the
second international conference on Data Warehousing and Knowledge Discovery,
DaWak'00, Greenwich, U.K, DEXA conference, published in the Lecture Notes
in Computer Science (LNCS) by Springer Verlag, Sept. 4-6, 2000, pp. 126-133.
Ezeife, C.I
and Jian Zheng, "Dynamic
Database Object Horizontal Fragmentation", Proceedings of the
8th International Conference on Information Systems Development - Methods and
Tools, Theory and Practice, Boise, Plennum Press Publishers, August
1999, pp. 51-60.
Ezeife, C.I
and Jian Zheng, "Measuring
the Performance of Database Object Horizontal Fragmentation Schemes", Proceedings
of the 3rd International Database Engineering and Applications
Symposium (IDEAS 99), IEEE Publication, Montreal, August 1999, pp.
408-414.
Ezeife, C.I,
and Baksh, S., “A
Partition-Selection Scheme for Warehouse Views”, Proceedings of the 9th
International Conference on Computing and Information (ICCI 98) ,
Winnipeg, Canada, IEEE Computer Society publication, pp. 9-16, June
17-20, 1998..
Ezeife, C.I,
“A Uniform
Approach for Selecting Views and Indexes in a Data Warehouse”, Proceedings of
the 2nd International Database Engineering and Applications Symposium (IDEAS
97), pp. 151-160, IEEE Publication, Montreal, August 1997.
Ezeife, C.I,
“Accommodating
Dimension Hierarchies in a Data Warehouse View/Index Selection Scheme”, Proceedings of
the 6th International Conference on Information Systems Development - Methods
and Tools, Theory and Practice, pp. 195-211, Boise, Plennum
Press Publishers, August 1997.
Ezeife, C.I.
and Ken. Barker, “Vertical
Fragmentation For Advanced Object Models in a Distributed Object Based System”,
Proceedings of the Seventh International Conference on Computing and
Information, IEEE Publishers, Volume 8, pp. 613-632, July 1995.
Ezeife, C.I.,
Class Fragmentation in
a Distributed Object Based System, A thesis presented to the University
of Manitoba in partial fulfilment of the requirements for the degree of Doctor
of Philosophy in Computer Science, March 1995.
Ezeife, C.I.
and Ken Barker, Horizontal
Class Fragmentation for Advanced Object Models in a Distributed Object-Based
System, In the Proceedings of the Ninth International Symposium on
Computer and Information Sciences, Antalya, Turkey, pp. 25-32, Nov. 7-9,
1994.
Ezeife C.I.
and Ken Barker, Vertical
Class Fragmentation in a Distributed Object-Based System, In the Proceedings
of the Second International Symposium on Applied Corporate Computing, ISACC",
Texas A \& M University (publisher), Monterrey, Mexico Volume 2, pp. 43-52,
Number 1, 1994.
Ezeife, C.I.
and K.en Barker, Horizontal
Class Fragmentation in Distributed Object Based Systems, Proceedings of
the Second Biennial European Joint Conference on Engineering Systems Design and
Analysis, ASME Publications, London, England, Vol. 65, No.5, pp.
225-235, June 1994.
Ezeife, C.I.
and Ken Barker, Vertical
Class Fragmentation in a Distributed Object Based System, Technical
Report - Department of Computer Science, University of Manitoba, Number: TR
94-02 Winnipeg, Manitoba, Canada, April 1993.
Ezeife, C.I.
and Ken Barker, Horizontal
Class Fragmentation in a Distributed Object Based System, Technical
Report - Department of Computer Science, University of Manitoba, Number: TR
93-04, Winnipeg, Manitoba, Canada, October 1993.
Ezeife, C.I.
and Ken Barker, A
Distributed Object Based Design Technique, Proceedings of the First
Annual Mid-Continent Information Systems Conference, Database Research
Group, NDU Fargo (publisher), Volume 1, pp. 78-90, Fargo, USA, May 1993.
OTHER REFEREED
CONFRENCE PUBLICATIONS FROM WORK IN OUR LAB
Mohammed
Shariful Islam and C.I. Ezeife, “Data Warehouse Stream View Update with
Hash Filter”, accepted but not delivered to the 2nd International
Conference on Computer Science and its Applications (ICCSA-2004) June 28-30, 2004, San Diego .
Kashif
Bhutta, "Calculating Aggregates with Range-Encoded Bit-Sliced
Index", Proceedings of the 3rd International Conference on Intelligent
Data Engineering and Automated Learning (IDEAL '02), , IEEE, Springer
Verlag Publication, Manchester, UK, August 2002 (paper from Kashif's
Masters thesis).
PUBLICATIONS IN SUBMISSION OR IN PREPARATION
C.I. Ezeife, Ahmedur Rahman, A.K. Aggarwal, “No Training Data
Mining Wireless Network Intrusion Detection Systems”, journal paper under
preparation.
Ezeife, C.I.,
"Incremental Horizontal Fragmentation of Database Class
Objects", in preparation.
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