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.
REFEREED CONFRENCE PUBLICATIONS
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.,
"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.