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ORCIDChristie I. Ezeife
Person information
- affiliation: University of Windsor, School of Computer Science, ON, Canada
- affiliation (PhD 1995): University of Manitoba, Department of Computer Science, Winnipeg, MB, Canada
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2020 – today
- 2023
[j17]Christie I. Ezeife
, Hemni Karlapalepu:
A Survey of Sequential Pattern Based E-Commerce Recommendation Systems. Algorithms 16(10): 467 (2023)- [j16]Mahreen Nasir, Christiana Ijeoma Ezeife:
Semantic enhanced Markov model for sequential E-commerce product recommendation. Int. J. Data Sci. Anal. 15(1): 67-91 (2023) - [j15]Mahreen Nasir, Christie I. Ezeife:
A Survey and Taxonomy of Sequential Recommender Systems for E-commerce Product Recommendation. SN Comput. Sci. 4(6): 708 (2023) - [c43]Christie I. Ezeife, Mayank Semwal:
Community Opinion Network Maximization for Mining Top K Seed Social Network Users. ACR 2023: 3-16 - [c42]Ritu Chaturvedi, Christie I. Ezeife, Md. Burhan Uddin:
Using Derived Sequential Pattern Mining for E-Commerce Recommendations in Multiple Sources. iiWAS 2023: 367-381 - 2022
- [c41]Abdulrauf Gidado, Christie I. Ezeife:
Maximizing Bigdata Retrieval: Block as a Value for NoSQL over SQL. ASONAM 2022: 556-563 - [c40]Christie I. Ezeife, Ritu Chaturvedi, Mahreen Nasir, Vinay Manjunath:
Mining Twitter Multi-word Product Opinions with Most Frequent Sequences of Aspect Terms. iiWAS 2022: 126-136 - 2021
- [j14]Mahreen Nasir, Christie I. Ezeife, Abdulrauf Gidado:
Improving e-commerce product recommendation using semantic context and sequential historical purchases. Soc. Netw. Anal. Min. 11(1): 82 (2021) - [c39]Priyanka Motwani, Christie I. Ezeife, Mahreen Nasir:
Extracting High Profit Sequential Feature Groups of Products Using High Utility Sequential Pattern Mining. ADMA 2021: 54-67 - [c38]Manil Patel, Christie I. Ezeife:
BERT-Based Multi-Task Learning for Aspect-Based Opinion Mining. DEXA (1) 2021: 192-204 - 2020
- [j13]Christie I. Ezeife, Vignesh Aravindan, Ritu Chaturvedi:
Mining Integrated Sequential Patterns From Multiple Databases. Int. J. Data Warehous. Min. 16(1): 1-21 (2020) - [c37]Mahreen Nasir, Christie I. Ezeife:
Semantics Embedded Sequential Recommendation for E-Commerce Products (SEMSRec). ASONAM 2020: 270-274
2010 – 2019
- 2019
- [c36]Raj Bhatta, Christie I. Ezeife, Mahreen Nasir Butt:
Mining Sequential Patterns of Historical Purchases for E-commerce Recommendation. DaWaK 2019: 57-72 - [c35]Chukwuma Ejieh, Christie I. Ezeife, Ritu Chaturvedi:
Mining product opinions with most frequent clusters of aspect terms. SAC 2019: 546-549 - 2018
- [c34]Ying Xiao, Christie I. Ezeife:
E-Commerce Product Recommendation Using Historical Purchases and Clickstream Data. DaWaK 2018: 70-82 - 2017
- [c33]Ritu Chaturvedi, Christie I. Ezeife:
Predicting Student Performance in an ITS Using Task-Driven Features. CIT 2017: 168-175 - 2016
- [c32]Christie I. Ezeife, Bindu Peravali:
Comparative Mining of B2C Web Sites by Discovering Web Database Schemas. IDEAS 2016: 183-192 - 2015
- [c31]Ritu Chaturvedi, Christie I. Ezeife:
Mining Binary Data with Matrix Algebra. CIT/IUCC/DASC/PICom 2015: 901-906 - 2014
- [j12]Dragana Martinovic, Christie I. Ezeife, Rob Whent, Jonathan Reed, Gerald H. Burgess, Chantal M. Pomerleau, Yuqi Yang, Ritu Chaturvedi:
"Critic-proofing" of the cognitive aspects of simple games. Comput. Educ. 72: 132-144 (2014) - [j11]Christie I. Ezeife, Dan Zhang:
Mining Multiple Related Data Sources Using Object-Oriented Model. Trans. Large Scale Data Knowl. Centered Syst. 13: 158-186 (2014) - [c30]Ritu Chaturvedi, Christie I. Ezeife:
Mining Relevant Examples for Learning in ITS Student Models. CIT 2014: 743-750 - [c29]Christie I. Ezeife, Rob Whent, Dragana Martinovic, Richard A. Frost, Yanal Alahmad, Tamanna S. Mumu:
Automatic Updating of Computer Games Data Warehouse for Cognition Identification. CSEDU (1) 2014: 338-345 - [c28]Tamanna S. Mumu, Christie I. Ezeife:
Discovering Community Preference Influence Network by Social Network Opinion Posts Mining. DaWaK 2014: 136-145 - 2013
- [c27]Gunjan Soni, Christie I. Ezeife:
An Automatic Email Management Approach Using Data Mining Techniques. DaWaK 2013: 260-267 - [c26]Ritu Chaturvedi, Christie I. Ezeife:
Mining the Impact of Course Assignments on Student Performance. EDM 2013: 308-309 - [c25]Sabbir Ahmed, Christie I. Ezeife:
Discovering influential nodes from trust network. SAC 2013: 121-128 - 2012
- [j10]Christie I. Ezeife, Titas Mutsuddy:
Towards Comparative Mining of Web Document Objects with NFA: WebOMiner System. Int. J. Data Warehous. Min. 8(4): 1-21 (2012) - [c24]Rob Whent, Dragana Martinovic, Christie I. Ezeife, Sabbir Ahmed, Yanal Alahmad, Tamanna S. Mumu:
School Age Children's Cognition Identification by Mining Integrated Computer Games Data. CSEDU (2) 2012: 495-505 - [c23]Ritu Chaturvedi, Christie I. Ezeife:
Data mining techniques for design of ITS student models. EDM 2012: 218-219 - 2011
- [c22]Nizar R. Mabroukeh, Christie I. Ezeife:
Ontology-based Web Recommendation from tags. ICDE Workshops 2011: 206-211 - [c21]Olalekan Kadri, Christie I. Ezeife:
Mining uncertain web log sequences with access history probabilities. SAC 2011: 1059-1060 - 2010
- [j9]Nizar R. Mabroukeh, Christie I. Ezeife:
A taxonomy of sequential pattern mining algorithms. ACM Comput. Surv. 43(1): 3:1-3:41 (2010) - [c20]Christie I. Ezeife, Zillur Rahman:
NeuDetect: a neural network data mining wireless network intrusion detection system. IDEAS 2010: 38-41
2000 – 2009
- 2009
- [j8]Christie I. Ezeife, Yi Liu:
Fast incremental mining of web sequential patterns with PLWAP tree. Data Min. Knowl. Discov. 19(3): 376-416 (2009) - [j7]Christie I. Ezeife, Yi Liu:
Fast incremental mining of web sequential patterns with PLWAP tree. Data Min. Knowl. Discov. 19(3): 417-418 (2009) - [c19]Nizar R. Mabroukeh, Christie I. Ezeife:
Using domain ontology for semantic web usage mining and next page prediction. CIKM 2009: 1677-1680 - [c18]Christie I. Ezeife, Dan Zhang:
TidFP: Mining Frequent Patterns in Different Databases with Transaction ID. DaWaK 2009: 125-137 - [c17]Nizar R. Mabroukeh, Christie I. Ezeife:
Semantic-Rich Markov Models for Web Prefetching. ICDM Workshops 2009: 465-470 - [c16]Estella Annoni, Christie I. Ezeife:
Modeling Web Documents as Objects for Automatic Web Content Extraction - Object-oriented Web Data Model. ICEIS (1) 2009: 91-100 - [c15]Christie I. Ezeife, Kashif Saeed, Dan Zhang:
Mining very long sequences in large databases with PLWAPLong. IDEAS 2009: 234-241 - 2008
- [j6]Christie I. Ezeife, Jingyu Dong, Akshai K. Aggarwal:
SensorWebIDS: a web mining intrusion detection system. Int. J. Web Inf. Syst. 4(1): 97-120 (2008) - [c14]Christie I. Ezeife, Maxwell Ejelike, Akshai K. Aggarwal:
WIDS: a sensor-based online mining wireless intrusion detection system. IDEAS 2008: 255-261 - [c13]Ahmedur Rahman, Christie I. Ezeife, Akshai K. Aggarwal:
WiFi Miner: An Online Apriori-Infrequent Based Wireless Intrusion System. KDD Workshop on Knowledge Discovery from Sensor Data 2008: 76-93 - 2007
- [c12]Christie I. Ezeife, Mostafa Monwar:
SSM : A Frequent Sequential Data Stream Patterns Miner. CIDM 2007: 120-126 - 2006
- [c11]Jing Li, Christie I. Ezeife:
Cleaning Web Pages for Effective Web Content Mining. DEXA 2006: 560-571 - 2005
- [j5]Christie I. Ezeife, Yi Lu:
Mining Web Log Sequential Patterns with Position Coded Pre-Order Linked WAP-Tree. Data Min. Knowl. Discov. 10(1): 5-38 (2005) - [j4]Christie I. Ezeife, Timothy E. Ohanekwu:
The Use of Smart Tokens in Cleaning Integrated Warehouse Data. Int. J. Data Warehous. Min. 1(2): 1-22 (2005) - 2004
- [c10]Christie I. Ezeife, Min Chen:
Incremental Mining of Web Sequential Patterns Using PLWAP Tree on Tolerance MinSupport. IDEAS 2004: 465-469 - [c9]Christie I. Ezeife, Min Chen:
Mining Web Sequential Patterns Incrementally with Revised PLWAP Tree. WAIM 2004: 539-548 - 2003
- [c8]Christie I. Ezeife, Ajumobi Udechukwu:
Data Position and Profiling in Domain-Independent Warehouse Cleaning. ICEIS (1) 2003: 232-238 - [c7]Christie I. Ezeife, Pinakpani Dey:
Incremental Horizontal Fragmentation of Database Class Objects. ICEIS (1) 2003: 239-245 - [c6]Yi Lu, Christie I. Ezeife:
Position Coded Pre-order Linked WAP-Tree for Web Log Sequential Pattern Mining. PAKDD 2003: 337-349 - 2002
- [c5]Christie I. Ezeife, Yue Su:
Mining Incremental Association Rules with Generalized FP-Tree. AI 2002: 147-160 - 2001
- [j3]Christie I. Ezeife:
Selecting and materializing horizontally partitioned warehouse views. Data Knowl. Eng. 36(2): 185-210 (2001) - [c4]Zequn Zhou, Christie I. Ezeife:
A Low-Scan Incremental Association Rule Maintenance Method Based on the Apriori Property. AI 2001: 26-35 - 2000
- [c3]Mei Xu, Christie I. Ezeife:
Maintaining Horizontally Partitioned Warehouse Views. DaWaK 2000: 126-133
1990 – 1999
- 1999
- [c2]Christie I. Ezeife, Jian Zheng:
Measuring the Performance of Database Object Horizontal Fragmentation Schemes. IDEAS 1999: 408-414 - 1998
- [j2]Christie I. Ezeife, Ken Barker:
Distributed Object Based Design: Vertical Fragmentation of Classes. Distributed Parallel Databases 6(4): 317-350 (1998) - 1997
- [c1]Christie I. Ezeife:
A Uniform Approach for Selecting Views and Indexes in a Data Warehouse. IDEAS 1997: 151-160 - 1995
- [j1]Christie I. Ezeife, Ken Barker:
A Comprehensive Approach to Horizontal Class Fragmentation in a Distributed Object Based System. Distributed Parallel Databases 3(3): 247-272 (1995)
Coauthor Index
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last updated on 2024-02-08 23:17 CET by the dblp team
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