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, 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 1^st 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.

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 2^nd 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 25^th 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 Ezeife, C. I. (2022). "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 21^st 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 20^th 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 6^th 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 28^th 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 4^th 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 26^th 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 13^th 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 11^th 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 11^th 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 17^th 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 8^th International Database Engineering and Applications Symposium, Coimbra, Portugal, July 7^th to 9^th, 2004, pp. 465-479.

Agyemang, Malik and C.I. Ezeife. “LSC-Mine: Algorithm for Mining Local Outliers”. Proceedings of the 15^th 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 Yue Su, "Mining Incremental Association Rules with Generalized FP-tree",  proceedings of the  fifteenth Canadian Conference on Artificial Intelligence, AI 2002,  holding May 25-29, 2002, Calgary, Canada, published in Lecture Notes in Computer Science (LNCS) by Springer Verlag, pp. 147-160.

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.

Ezeife, C.I and Jian Zheng, "A Practical Approach to Dynamic Horizontal Fragmentation of Database Object Classes", in preparation.