Christie I. Ezeife

Orcid: 0000-0002-9424-9223

Affiliations:
  • University of Windsor, School of Computer Science, ON, Canada
  • University of Manitoba, Department of Computer Science, Winnipeg, MB, Canada (PhD 1995)


According to our database1, Christie I. Ezeife authored at least 59 papers between 1995 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
A Survey and Taxonomy of Sequential Recommender Systems for E-commerce Product Recommendation.
SN Comput. Sci., November, 2023

Semantic enhanced Markov model for sequential E-commerce product recommendation.
Int. J. Data Sci. Anal., January, 2023

A Survey of Sequential Pattern Based E-Commerce Recommendation Systems.
Algorithms, 2023

Using Derived Sequential Pattern Mining for E-Commerce Recommendations in Multiple Sources.
Proceedings of the Information Integration and Web Intelligence, 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), 2023

2022
Mining Twitter Multi-word Product Opinions with Most Frequent Sequences of Aspect Terms.
Proceedings of the Information Integration and Web Intelligence, 2022

Maximizing Bigdata Retrieval: Block as a Value for NoSQL over SQL.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021
Improving e-commerce product recommendation using semantic context and sequential historical purchases.
Soc. Netw. Anal. Min., 2021

BERT-Based Multi-Task Learning for Aspect-Based Opinion Mining.
Proceedings of the Database and Expert Systems Applications, 2021

Extracting High Profit Sequential Feature Groups of Products Using High Utility Sequential Pattern Mining.
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

2020
Mining Integrated Sequential Patterns From Multiple Databases.
Int. J. Data Warehous. Min., 2020

Semantics Embedded Sequential Recommendation for E-Commerce Products (SEMSRec).
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019
Mining product opinions with most frequent clusters of aspect terms.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Mining Sequential Patterns of Historical Purchases for E-commerce Recommendation.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2019

2018
E-Commerce Product Recommendation Using Historical Purchases and Clickstream Data.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

2017
Predicting Student Performance in an ITS Using Task-Driven Features.
Proceedings of the 2017 IEEE International Conference on Computer and Information Technology, 2017

2016
Comparative Mining of B2C Web Sites by Discovering Web Database Schemas.
Proceedings of the 20th International Database Engineering & Applications Symposium, 2016

2015
Mining Binary Data with Matrix Algebra.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

2014
Mining Multiple Related Data Sources Using Object-Oriented Model.
Trans. Large Scale Data Knowl. Centered Syst., 2014

"Critic-proofing" of the cognitive aspects of simple games.
Comput. Educ., 2014

Discovering Community Preference Influence Network by Social Network Opinion Posts Mining.
Proceedings of the Data Warehousing and Knowledge Discovery, 2014

Automatic Updating of Computer Games Data Warehouse for Cognition Identification.
Proceedings of the CSEDU 2014, 2014

Mining Relevant Examples for Learning in ITS Student Models.
Proceedings of the 14th IEEE International Conference on Computer and Information Technology, 2014

2013
Discovering influential nodes from trust network.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Mining the Impact of Course Assignments on Student Performance.
Proceedings of the 6th International Conference on Educational Data Mining, 2013

An Automatic Email Management Approach Using Data Mining Techniques.
Proceedings of the Data Warehousing and Knowledge Discovery, 2013

2012
Towards Comparative Mining of Web Document Objects with NFA: WebOMiner System.
Int. J. Data Warehous. Min., 2012

Data mining techniques for design of ITS student models.
Proceedings of the 5th International Conference on Educational Data Mining, 2012

School Age Children's Cognition Identification by Mining Integrated Computer Games Data.
Proceedings of the CSEDU 2012, 2012

2011
Mining uncertain web log sequences with access history probabilities.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

Ontology-based Web Recommendation from tags.
Proceedings of the Workshops Proceedings of the 27th International Conference on Data Engineering, 2011

2010
A taxonomy of sequential pattern mining algorithms.
ACM Comput. Surv., 2010

NeuDetect: a neural network data mining wireless network intrusion detection system.
Proceedings of the Fourteenth International Database Engineering and Applications Symposium (IDEAS 2010), 2010

2009
Fast incremental mining of web sequential patterns with PLWAP tree.
Data Min. Knowl. Discov., 2009

Mining very long sequences in large databases with PLWAPLong.
Proceedings of the International Database Engineering and Applications Symposium (IDEAS 2009), 2009

Modeling Web Documents as Objects for Automatic Web Content Extraction - Object-oriented Web Data Model.
Proceedings of the ICEIS 2009, 2009

Semantic-Rich Markov Models for Web Prefetching.
Proceedings of the ICDM Workshops 2009, 2009

TidFP: Mining Frequent Patterns in Different Databases with Transaction ID.
Proceedings of the Data Warehousing and Knowledge Discovery, 11th International Conference, 2009

Using domain ontology for semantic web usage mining and next page prediction.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
SensorWebIDS: a web mining intrusion detection system.
Int. J. Web Inf. Syst., 2008

WiFi Miner: An Online Apriori-Infrequent Based Wireless Intrusion System.
Proceedings of the Knowledge Discovery from Sensor Data, 2008

WIDS: a sensor-based online mining wireless intrusion detection system.
Proceedings of the 12th International Database Engineering and Applications Symposium (IDEAS 2008), 2008

2007
SSM : A Frequent Sequential Data Stream Patterns Miner.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006
Cleaning Web Pages for Effective Web Content Mining.
Proceedings of the Database and Expert Systems Applications, 17th International Conference, 2006

2005
The Use of Smart Tokens in Cleaning Integrated Warehouse Data.
Int. J. Data Warehous. Min., 2005

Mining Web Log Sequential Patterns with Position Coded Pre-Order Linked WAP-Tree.
Data Min. Knowl. Discov., 2005

2004
Mining Web Sequential Patterns Incrementally with Revised PLWAP Tree.
Proceedings of the Advances in Web-Age Information Management: 5th International Conference, 2004

Incremental Mining of Web Sequential Patterns Using PLWAP Tree on Tolerance MinSupport.
Proceedings of the 8th International Database Engineering and Applications Symposium (IDEAS 2004), 2004

2003
Position Coded Pre-order Linked WAP-Tree for Web Log Sequential Pattern Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Data Position and Profiling in Domain-Independent Warehouse Cleaning.
Proceedings of the ICEIS 2003, 2003

Incremental Horizontal Fragmentation of Database Class Objects.
Proceedings of the ICEIS 2003, 2003

2002
Mining Incremental Association Rules with Generalized FP-Tree.
Proceedings of the Advances in Artificial Intelligence, 2002

2001
Selecting and materializing horizontally partitioned warehouse views.
Data Knowl. Eng., 2001

A Low-Scan Incremental Association Rule Maintenance Method Based on the Apriori Property.
Proceedings of the Advances in Artificial Intelligence, 2001

2000
Maintaining Horizontally Partitioned Warehouse Views.
Proceedings of the Data Warehousing and Knowledge Discovery, 2000

1999
Measuring the Performance of Database Object Horizontal Fragmentation Schemes.
Proceedings of the 1999 International Database Engineering and Applications Symposium, 1999

1998
Distributed Object Based Design: Vertical Fragmentation of Classes.
Distributed Parallel Databases, 1998

1997
A Uniform Approach for Selecting Views and Indexes in a Data Warehouse.
Proceedings of the International Database Engineering and Applications Symposium, 1997

1995
A Comprehensive Approach to Horizontal Class Fragmentation in a Distributed Object Based System.
Distributed Parallel Databases, 1995


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