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.
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.
REFEREED
CONFRENCE PUBLICATIONS
Behrad Ghiasi, Christie Ezeife. (2026). Beyond Recency Bias:
Combining Sequential and Global Collaborative Signals in LLM-Based Generative
Recommendation for Sparse Data. Canadian AI 2026, Vancouver BC, May 25 -29, https://proceedings.mlr.press/v318/.
Esther Umoh, C. I. Ezeife and
Ritu Chaturvedi. (2026).
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, Springer LNCS, pp 180 – 195, https://doi.org/10.1007/978-3-032-13509-4_15.
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, https://kdd2025llm4ecommerce.github.io/accepted/.
A. E. Oduba,
C. I. Ezeife and M. Nasir. (2025). "A Content Based E-Commerce Dataset
Recommendation System Using BERT and Named Entity Recognition," 2025
IEEE/ACIS 29th International Conference on Software Engineering, Artificial
Intelligence, Networking and Parallel/Distributed Computing (SNPD), Busan,
Korea, Republic of, 2025, pp. 704-711, doi:10.1109/SNPD65828.2025.11253422.
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 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 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
Ezeife, C.I.,
"Incremental Horizontal Fragmentation of Database Class
Objects", in preparation.